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2015
	Fiscella, Michele; Franke, Felix; Farrow, Karl; Müller, Jan; Roska, Botond; Azeredo da Silveira, Rava ; Hierlemann, Andreas Visual coding with a population of direction-selective neurons Journal Article Journal of Neurophysiology, 114 (4), pp. 2485-2499, 2015, ISSN: 0022-3077. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA, Retina @article{Fiscella2015, title = {Visual coding with a population of direction-selective neurons}, author = {Michele Fiscella and Felix Franke and Karl Farrow and Jan Müller and Botond Roska and Rava {Azeredo da Silveira} and Andreas Hierlemann}, url = {http://jn.physiology.org/lookup/doi/10.1152/jn.00919.2014}, doi = {10.1152/jn.00919.2014}, issn = {0022-3077}, year = {2015}, date = {2015-08-19}, journal = {Journal of Neurophysiology}, volume = {114}, number = {4}, pages = {2485-2499}, abstract = {The brain decodes the visual scene from the action potentials of ∼20 retinal ganglion cell types. Among the retinal ganglion cells, direction-selective ganglion cells (DSGCs) encode motion direction. Several studies have focused on the encoding or decoding of motion direction by recording multiunit activity, mainly in the visual cortex. In this study, we simultaneously recorded from all four types of ON-OFF DSGCs of the rabbit retina using a microelectronics-based high-density microelectrode array (HDMEA) and decoded their concerted activity using probabilistic and linear decoders. Furthermore, we investigated how the modification of stimulus parameters (velocity, size, angle of moving object) and the use of different tuning curve fits influenced decoding precision. Finally, we simulated ON-OFF DSGC activity, based on real data, in order to understand how tuning curve widths and the angular distribution of the cells' preferred directions influence decoding performance. We found that probabilistic decoding strategies outperformed, on average, linear methods and that decoding precision was robust to changes in stimulus parameters such as velocity. The removal of noise correlations among cells, by random shuffling trials, caused a drop in decoding precision. Moreover, we found that tuning curves are broad in order to minimize large errors at the expense of a higher average error, and that the retinal direction-selective system would not substantially benefit, on average, from having more than four types of ON-OFF DSGCs or from a perfect alignment of the cells' preferred directions.}, keywords = {Data Analysis, ETH-CMOS-MEA, Retina}, pubstate = {published}, tppubtype = {article} } Close The brain decodes the visual scene from the action potentials of ∼20 retinal ganglion cell types. Among the retinal ganglion cells, direction-selective ganglion cells (DSGCs) encode motion direction. Several studies have focused on the encoding or decoding of motion direction by recording multiunit activity, mainly in the visual cortex. In this study, we simultaneously recorded from all four types of ON-OFF DSGCs of the rabbit retina using a microelectronics-based high-density microelectrode array (HDMEA) and decoded their concerted activity using probabilistic and linear decoders. Furthermore, we investigated how the modification of stimulus parameters (velocity, size, angle of moving object) and the use of different tuning curve fits influenced decoding precision. Finally, we simulated ON-OFF DSGC activity, based on real data, in order to understand how tuning curve widths and the angular distribution of the cells' preferred directions influence decoding performance. We found that probabilistic decoding strategies outperformed, on average, linear methods and that decoding precision was robust to changes in stimulus parameters such as velocity. The removal of noise correlations among cells, by random shuffling trials, caused a drop in decoding precision. Moreover, we found that tuning curves are broad in order to minimize large errors at the expense of a higher average error, and that the retinal direction-selective system would not substantially benefit, on average, from having more than four types of ON-OFF DSGCs or from a perfect alignment of the cells' preferred directions. Close http://jn.physiology.org/lookup/doi/10.1152/jn.00919.2014 doi:10.1152/jn.00919.2014 Close
	Müller, Jan; Ballini, Marco; Livi, Paolo; Chen, Yihui; Radivojevic, Milos; Shadmani, Amir; Viswam, Vijay; Jones, Ian L; Fiscella, Michele; Diggelmann, Roland; Stettler, Alexander; Frey, Urs; Bakkum, Douglas J; Hierlemann, Andreas High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels Journal Article Lab Chip, 15 (13), pp. 2767-2780, 2015, ISSN: 1473-0197. Abstract \| Links \| BibTeX \| Tags: MaxOne, Neuronal Networks @article{Muller2015, title = {High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels}, author = {Jan Müller and Marco Ballini and Paolo Livi and Yihui Chen and Milos Radivojevic and Amir Shadmani and Vijay Viswam and Ian L Jones and Michele Fiscella and Roland Diggelmann and Alexander Stettler and Urs Frey and Douglas J Bakkum and Andreas Hierlemann}, url = {http://pubs.rsc.org/en/Content/ArticleLanding/2015/LC/C5LC00133A#!divAbstract}, doi = {10.1039/C5LC00133A}, issn = {1473-0197}, year = {2015}, date = {2015-07-07}, journal = {Lab Chip}, volume = {15}, number = {13}, pages = {2767-2780}, publisher = {Royal Society of Chemistry}, abstract = {Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 um) within a large overall sensing area (3.85 × 2.10 mm2). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.}, keywords = {MaxOne, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 um) within a large overall sensing area (3.85 × 2.10 mm2). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons. Close http://pubs.rsc.org/en/Content/ArticleLanding/2015/LC/C5LC00133A#!divAbstract doi:10.1039/C5LC00133A Close
	Krol, Jacek; Krol, Ilona; Alvarez, Claudia Patricia Patino; Fiscella, Michele; Hierlemann, Andreas; Roska, Botond; Filipowicz, Witold A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture. Journal Article Nature Communications, 6 , pp. 7305, 2015, ISSN: 2041-1723. Abstract \| Links \| BibTeX \| Tags: MaxOne, Retina @article{Krol2015, title = {A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture.}, author = {Jacek Krol and Ilona Krol and Claudia Patricia Patino Alvarez and Michele Fiscella and Andreas Hierlemann and Botond Roska and Witold Filipowicz}, url = {https://www.nature.com/articles/ncomms8305}, doi = {10.1038/ncomms8305}, issn = {2041-1723}, year = {2015}, date = {2015-06-04}, journal = {Nature Communications}, volume = {6}, pages = {7305}, publisher = {Nature Publishing Group}, abstract = {Brain regions, such as the cortex and retina, are composed of layers of uniform thickness. The molecular mechanism that controls this uniformity is not well understood. Here we show that during mouse postnatal development the timed expression of Rncr4, a retina-specific long noncoding RNA, regulates the similarly timed processing of pri-miR-183/96/182, which is repressed at an earlier developmental stage by RNA helicase Ddx3x. Shifting the timing of mature miR-183/96/182 accumulation or interfering with Ddx3x expression leads to the disorganization of retinal architecture, with the photoreceptor layer being most affected. We identify Crb1, a component of the adhesion belt between glial and photoreceptor cells, as a link between Rncr4-regulated miRNA metabolism and uniform retina layering. Our results suggest that the precise timing of glia-neuron interaction controlled by noncoding RNAs and Ddx3x is important for the even distribution of cells across layers.}, keywords = {MaxOne, Retina}, pubstate = {published}, tppubtype = {article} } Close Brain regions, such as the cortex and retina, are composed of layers of uniform thickness. The molecular mechanism that controls this uniformity is not well understood. Here we show that during mouse postnatal development the timed expression of Rncr4, a retina-specific long noncoding RNA, regulates the similarly timed processing of pri-miR-183/96/182, which is repressed at an earlier developmental stage by RNA helicase Ddx3x. Shifting the timing of mature miR-183/96/182 accumulation or interfering with Ddx3x expression leads to the disorganization of retinal architecture, with the photoreceptor layer being most affected. We identify Crb1, a component of the adhesion belt between glial and photoreceptor cells, as a link between Rncr4-regulated miRNA metabolism and uniform retina layering. Our results suggest that the precise timing of glia-neuron interaction controlled by noncoding RNAs and Ddx3x is important for the even distribution of cells across layers. Close https://www.nature.com/articles/ncomms8305 doi:10.1038/ncomms8305 Close
	Okawa, Satoru; Mita, Takeshi; Bakkum, Douglas J; Frey, Urs; Hierlemann, Andreas; Kanzaki, Ryohei; Takahashi, Hirokazu Chronic Co-Variation of Neural Network Configuration and Activity in Mature Dissociated Cultures Journal Article Electronics and Communications in Japan, 98 (5), pp. 34-42, 2015, ISSN: 1942-9541. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Takahashi2015, title = {Chronic Co-Variation of Neural Network Configuration and Activity in Mature Dissociated Cultures}, author = {Satoru Okawa and Takeshi Mita and Douglas J Bakkum and Urs Frey and Andreas Hierlemann and Ryohei Kanzaki and Hirokazu Takahashi}, url = {http://onlinelibrary.wiley.com/doi/10.1002/ecj.11736/abstract;jsessionid=791557FA80CF36B1F78DC538C1618924.f03t02}, doi = {10.1002/ecj.11736}, issn = {1942-9541}, year = {2015}, date = {2015-04-08}, journal = {Electronics and Communications in Japan}, volume = {98}, number = {5}, pages = {34-42}, abstract = {Spatiotemporal neural patterns depend on the physical structure of neural circuits. Neural plasticity can thus be associated with changes in the circuit structure. For example, newborn neurons migrate toward existing, already matured, neural networks in order to participate in neural computation. In the present study, we have conducted two experiments to investigate how neural migration is associated with the development of neural activity in primary dissociated cultures of neuronal cells. In Experiment 1, using a mature culture, a high-density CMOS microelectrode array was used to continuously monitor neural migration and activity for more than two weeks. Consequently, we found that even in mature neuronal cultures neurons moved 2.0 ± 1.0 mum a day and that the moving distance was negatively correlated with their firing rate, suggesting that neurons featuring low firing rates tend to migrate actively. In Experiment 2 using a co-culture of mature and immature neurons, we found that immature neurons moved more actively than matured neurons to achieve functional connections to other neurons. These findings suggest that neurons with low firing rates as well as newborn neurons actively migrate in order to establish their connections and function in a neuronal network.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Spatiotemporal neural patterns depend on the physical structure of neural circuits. Neural plasticity can thus be associated with changes in the circuit structure. For example, newborn neurons migrate toward existing, already matured, neural networks in order to participate in neural computation. In the present study, we have conducted two experiments to investigate how neural migration is associated with the development of neural activity in primary dissociated cultures of neuronal cells. In Experiment 1, using a mature culture, a high-density CMOS microelectrode array was used to continuously monitor neural migration and activity for more than two weeks. Consequently, we found that even in mature neuronal cultures neurons moved 2.0 ± 1.0 mum a day and that the moving distance was negatively correlated with their firing rate, suggesting that neurons featuring low firing rates tend to migrate actively. In Experiment 2 using a co-culture of mature and immature neurons, we found that immature neurons moved more actively than matured neurons to achieve functional connections to other neurons. These findings suggest that neurons with low firing rates as well as newborn neurons actively migrate in order to establish their connections and function in a neuronal network. Close http://onlinelibrary.wiley.com/doi/10.1002/ecj.11736/abstract;jsessionid=791557F[...] doi:10.1002/ecj.11736 Close
	Lewandowska, Marta K; Bakkum, Douglas J; Rompani, Santiago B; Hierlemann, Andreas Recording large extracellular spikes in microchannels along many axonal sites from individual neurons Journal Article PLoS ONE, 10 (3), pp. 1-24, 2015, ISSN: 19326203. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Lewandowska2015, title = {Recording large extracellular spikes in microchannels along many axonal sites from individual neurons}, author = {Marta K Lewandowska and Douglas J Bakkum and Santiago B Rompani and Andreas Hierlemann}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118514}, doi = {10.1371/journal.pone.0118514}, issn = {19326203}, year = {2015}, date = {2015-03-03}, journal = {PLoS ONE}, volume = {10}, number = {3}, pages = {1-24}, abstract = {The numerous connections between neuronal cell bodies, made by their dendrites and axons, are vital for information processing in the brain. While dendrites and synapses have been extensively studied, axons have remained elusive to a large extent. We present a novel platform to study axonal physiology and information processing based on combining an 11,011-electrode high-density complementary metal-oxide semiconductor microelectrode array with a poly(dimethylsiloxane) channel device, which isolates axons from somas and, importantly, significantly amplifies recorded axonal signals. The combination of the microelectrode array with recording and stimulation capability with the microfluidic isolation channels permitted us to study axonal signal behavior at great detail. The device, featuring two culture chambers with over 30 channels spanning in between, enabled long-term recording of single spikes from isolated axons with signal amplitudes of 100 uV up to 2 mV. Propagating signals along axons could be recorded with 10 to 50 electrodes per channel. We (i) describe the performance and capabilities of our device for axonal electrophysiology, and (ii) present novel data on axonal signals facilitated by the device. Spontaneous action potentials with characteristic shapes propagated from somas along axons between the two compartments, and these unique shapes could be used to identify individual axons within channels that contained many axonal branches. Stimulation through the electrode array facilitated the identification of somas and their respective axons, enabling interfacing with different compartments of a single cell. Complex spike shapes observed in channels were traced back to single cells, and we show that more complicated spike shapes originate from a linear superposition of multiple axonal signals rather than signal distortion by the channels.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close The numerous connections between neuronal cell bodies, made by their dendrites and axons, are vital for information processing in the brain. While dendrites and synapses have been extensively studied, axons have remained elusive to a large extent. We present a novel platform to study axonal physiology and information processing based on combining an 11,011-electrode high-density complementary metal-oxide semiconductor microelectrode array with a poly(dimethylsiloxane) channel device, which isolates axons from somas and, importantly, significantly amplifies recorded axonal signals. The combination of the microelectrode array with recording and stimulation capability with the microfluidic isolation channels permitted us to study axonal signal behavior at great detail. The device, featuring two culture chambers with over 30 channels spanning in between, enabled long-term recording of single spikes from isolated axons with signal amplitudes of 100 uV up to 2 mV. Propagating signals along axons could be recorded with 10 to 50 electrodes per channel. We (i) describe the performance and capabilities of our device for axonal electrophysiology, and (ii) present novel data on axonal signals facilitated by the device. Spontaneous action potentials with characteristic shapes propagated from somas along axons between the two compartments, and these unique shapes could be used to identify individual axons within channels that contained many axonal branches. Stimulation through the electrode array facilitated the identification of somas and their respective axons, enabling interfacing with different compartments of a single cell. Complex spike shapes observed in channels were traced back to single cells, and we show that more complicated spike shapes originate from a linear superposition of multiple axonal signals rather than signal distortion by the channels. Close http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118514 doi:10.1371/journal.pone.0118514 Close
	Dragas, Jelena; Jäckel, David; Hierlemann, Andreas; Franke, Felix Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm Journal Article IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23 (2), pp. 149–158, 2015, ISSN: 15344320. Abstract \| Links \| BibTeX \| Tags: Spike Sorting @article{Dragas2015, title = {Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm}, author = {Jelena Dragas and David Jäckel and Andreas Hierlemann and Felix Franke}, url = {http://ieeexplore.ieee.org/document/6955847/}, doi = {10.1109/TNSRE.2014.2370510}, issn = {15344320}, year = {2015}, date = {2015-03-01}, journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering}, volume = {23}, number = {2}, pages = {149--158}, abstract = {Reliable real-time low-latency spike sorting with large data throughput is essential for studies of neural network dynamics and for brain-machine interfaces (BMIs), in which the stimulation of neural networks is based on the networks' most recent activity. However, the majority of existing multi-electrode spike-sorting algorithms are unsuited for processing high quantities of simultaneously recorded data. Recording from large neuronal networks using large high-density electrode sets (thousands of electrodes) imposes high demands on the data-processing hardware regarding computational complexity and data transmission bandwidth; this, in turn, entails demanding requirements in terms of chip area, memory resources and processing latency. This paper presents computational complexity optimisation techniques, which facilitate the use of spike-sorting algorithms in large multi-electrode-based recording systems. The techniques are then applied to a previously published algorithm, on its own, unsuited for large electrode set recordings. Further, a real-time low-latency high-performance VLSI hardware architecture of the modified algorithm is presented, featuring a folded structure capable of processing the activity of hundreds of neurons simultaneously. The hardware is reconfigurable “on-the-fly” and adaptable to the non-stationarities of neuronal recordings. By transmitting exclusively spike time stamps and/or spike waveforms, its real-time processing offers the possibility of data bandwidth and data storage reduction.}, keywords = {Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Reliable real-time low-latency spike sorting with large data throughput is essential for studies of neural network dynamics and for brain-machine interfaces (BMIs), in which the stimulation of neural networks is based on the networks' most recent activity. However, the majority of existing multi-electrode spike-sorting algorithms are unsuited for processing high quantities of simultaneously recorded data. Recording from large neuronal networks using large high-density electrode sets (thousands of electrodes) imposes high demands on the data-processing hardware regarding computational complexity and data transmission bandwidth; this, in turn, entails demanding requirements in terms of chip area, memory resources and processing latency. This paper presents computational complexity optimisation techniques, which facilitate the use of spike-sorting algorithms in large multi-electrode-based recording systems. The techniques are then applied to a previously published algorithm, on its own, unsuited for large electrode set recordings. Further, a real-time low-latency high-performance VLSI hardware architecture of the modified algorithm is presented, featuring a folded structure capable of processing the activity of hundreds of neurons simultaneously. The hardware is reconfigurable “on-the-fly” and adaptable to the non-stationarities of neuronal recordings. By transmitting exclusively spike time stamps and/or spike waveforms, its real-time processing offers the possibility of data bandwidth and data storage reduction. Close http://ieeexplore.ieee.org/document/6955847/ doi:10.1109/TNSRE.2014.2370510 Close
	Obien, Marie Engelene J; Deligkaris, Kosmas; Bullmann, Torsten; Bakkum, Douglas J; Frey, Urs Revealing neuronal function through microelectrode array recordings Journal Article Frontiers in Neuroscience, 9 , pp. 423, 2015, ISSN: 1662453X. Abstract \| Links \| BibTeX \| Tags: MEA Technology, Review @article{Obien2015, title = {Revealing neuronal function through microelectrode array recordings}, author = {Marie Engelene J Obien and Kosmas Deligkaris and Torsten Bullmann and Douglas J Bakkum and Urs Frey}, url = {https://www.frontiersin.org/articles/10.3389/fnins.2014.00423/full}, doi = {10.3389/fnins.2014.00423}, issn = {1662453X}, year = {2015}, date = {2015-01-06}, journal = {Frontiers in Neuroscience}, volume = {9}, pages = {423}, abstract = {Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function.}, keywords = {MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function. Close https://www.frontiersin.org/articles/10.3389/fnins.2014.00423/full doi:10.3389/fnins.2014.00423 Close
2014
	Ballini, Marco; Müller, Jan; Livi, Paolo; Chen, Yihui; Frey, Urs; Stettler, Alexander; Shadmani, Amir; Viswam, Vijay; Jones, Ian L; Jäckel, David; Radivojevic, Milos; Lewandowska, Marta K; Gong, Wei; Fiscella, Michele; Bakkum, Douglas J; Heer, Flavio; Hierlemann, Andreas A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro Journal Article IEEE Journal of Solid-State Circuits, 49 (11), pp. 2705-2719, 2014, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: MaxOne, MEA Technology @article{Ballini2014, title = {A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro}, author = {Marco Ballini and Jan Müller and Paolo Livi and Yihui Chen and Urs Frey and Alexander Stettler and Amir Shadmani and Vijay Viswam and Ian L Jones and David Jäckel and Milos Radivojevic and Marta K Lewandowska and Wei Gong and Michele Fiscella and Douglas J Bakkum and Flavio Heer and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/6923484/}, doi = {10.1109/JSSC.2014.2359219}, issn = {00189200}, year = {2014}, date = {2014-10-14}, journal = {IEEE Journal of Solid-State Circuits}, volume = {49}, number = {11}, pages = {2705-2719}, abstract = {To advance our understanding of the functioning of neuronal ensembles, systems are needed to enable simultaneous recording from a large number of individual neurons at high spa-tiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, for example, plasticity and learning processes. Here, we present a microelectrode array (MEA) system on a single CMOS die for in vitro recording and stimulation. The system incorporates 26,400 platinum electrodes, fabricated by in-house post-processing, over a large sensing area (3.85 2.10 mm) with sub-cellular spatial resolution (pitch of 17.5 µm). Owing to an area and power efficient implementation, we were able to integrate 1024 readout channels on chip to record extracellular signals from a user-specified selection of electrodes. These channels feature noise values of 2.4 µV in the action-potential band (300 Hz–10 kHz) and 5.4 µV in the local-field-potential band (1 Hz–300 Hz), and provide programmable gain (up to 78 dB) to accommodate various biological preparations. Amplified and filtered signals are digitized by 10 bit parallel single-slope ADCs at 20 kSamples/s. The system also includes 32 stimulation units, which can elicit neural spikes through either current or voltage pulses. The chip consumes only 75 mW in total, which obviates the need of active cooling even for sensitive cell cultures.}, keywords = {MaxOne, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close To advance our understanding of the functioning of neuronal ensembles, systems are needed to enable simultaneous recording from a large number of individual neurons at high spa-tiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, for example, plasticity and learning processes. Here, we present a microelectrode array (MEA) system on a single CMOS die for in vitro recording and stimulation. The system incorporates 26,400 platinum electrodes, fabricated by in-house post-processing, over a large sensing area (3.85 2.10 mm) with sub-cellular spatial resolution (pitch of 17.5 µm). Owing to an area and power efficient implementation, we were able to integrate 1024 readout channels on chip to record extracellular signals from a user-specified selection of electrodes. These channels feature noise values of 2.4 µV in the action-potential band (300 Hz–10 kHz) and 5.4 µV in the local-field-potential band (1 Hz–300 Hz), and provide programmable gain (up to 78 dB) to accommodate various biological preparations. Amplified and filtered signals are digitized by 10 bit parallel single-slope ADCs at 20 kSamples/s. The system also includes 32 stimulation units, which can elicit neural spikes through either current or voltage pulses. The chip consumes only 75 mW in total, which obviates the need of active cooling even for sensitive cell cultures. Close http://ieeexplore.ieee.org/document/6923484/ doi:10.1109/JSSC.2014.2359219 Close
	Bakkum, Douglas J; Radivojevic, Milos; Frey, Urs; Franke, Felix; Hierlemann, Andreas; Takahashi, Hirokazu Parameters for burst detection Journal Article Frontiers in Computational Neuroscience, 7 , pp. 1-12, 2014, ISSN: 1662-5188. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA @article{Bakkum2014, title = {Parameters for burst detection}, author = {Douglas J Bakkum and Milos Radivojevic and Urs Frey and Felix Franke and Andreas Hierlemann and Hirokazu Takahashi}, url = {http://journal.frontiersin.org/article/10.3389/fncom.2013.00193/abstract}, doi = {10.3389/fncom.2013.00193}, issn = {1662-5188}, year = {2014}, date = {2014-01-13}, journal = {Frontiers in Computational Neuroscience}, volume = {7}, pages = {1-12}, abstract = {Bursts of action potentials within neurons and throughout networks are believed to serve roles in how neurons handle and store information, both in vivo and in vitro. Accurate detection of burst occurrences and durations are therefore crucial for many studies. A number of algorithms have been proposed to do so, but a standard method has not been adopted. This is due, in part, to many algorithms requiring the adjustment of multiple ad-hoc parameters and further post-hoc criteria in order to produce satisfactory results. Here, we broadly catalog existing approaches and present a new approach requiring the selection of only a single parameter: the number of spikes N comprising the smallest burst to consider. A burst was identified if N spikes occurred in less than T ms, where the threshold T was automatically determined from observing a probability distribution of inter-spike-intervals. Performance was compared vs. different classes of detectors on data gathered from in vitro neuronal networks grown over microelectrode arrays. Our approach offered a number of useful features including: a simple implementation, no need for ad-hoc or post-hoc criteria, and precise assignment of burst boundary time points. Unlike existing approaches, detection was not biased toward larger bursts, allowing identification and analysis of a greater range of neuronal and network dynamics.}, keywords = {Data Analysis, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Bursts of action potentials within neurons and throughout networks are believed to serve roles in how neurons handle and store information, both in vivo and in vitro. Accurate detection of burst occurrences and durations are therefore crucial for many studies. A number of algorithms have been proposed to do so, but a standard method has not been adopted. This is due, in part, to many algorithms requiring the adjustment of multiple ad-hoc parameters and further post-hoc criteria in order to produce satisfactory results. Here, we broadly catalog existing approaches and present a new approach requiring the selection of only a single parameter: the number of spikes N comprising the smallest burst to consider. A burst was identified if N spikes occurred in less than T ms, where the threshold T was automatically determined from observing a probability distribution of inter-spike-intervals. Performance was compared vs. different classes of detectors on data gathered from in vitro neuronal networks grown over microelectrode arrays. Our approach offered a number of useful features including: a simple implementation, no need for ad-hoc or post-hoc criteria, and precise assignment of burst boundary time points. Unlike existing approaches, detection was not biased toward larger bursts, allowing identification and analysis of a greater range of neuronal and network dynamics. Close http://journal.frontiersin.org/article/10.3389/fncom.2013.00193/abstract doi:10.3389/fncom.2013.00193 Close
2013
	Bakkum, Douglas J; Frey, Urs; Radivojevic, Milos; Russell, Thomas L; Müller, Jan; Fiscella, Michele; Takahashi, Hirokazu; Hierlemann, Andreas Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites Journal Article Nature Communications, 4 , pp. 1-12, 2013, ISSN: 2041-1723. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA, Neuronal Networks @article{Bakkum2013, title = {Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites}, author = {Douglas J Bakkum and Urs Frey and Milos Radivojevic and Thomas L Russell and Jan Müller and Michele Fiscella and Hirokazu Takahashi and Andreas Hierlemann}, url = {http://www.nature.com/doifinder/10.1038/ncomms3181}, doi = {10.1038/ncomms3181}, issn = {2041-1723}, year = {2013}, date = {2013-07-19}, journal = {Nature Communications}, volume = {4}, pages = {1-12}, abstract = {Axons are traditionally considered stable transmission cables, but evidence of the regulation of action potential propagation demonstrates that axons may have more important roles. However, their small diameters render intracellular recordings challenging, and low-magnitude extracellular signals are difficult to detect and assign. Better experimental access to axonal function would help to advance this field. Here we report methods to electrically visualize action potential propagation and network topology in cortical neurons grown over custom arrays, which contain 11,011 microelectrodes and are fabricated using complementary metal oxide semiconductor technology. Any neuron lying on the array can be recorded at high spatio-temporal resolution, and simultaneously precisely stimulated with little artifact. We find substantial velocity differences occurring locally within single axons, suggesting that the temporal control of a neuron's output may contribute to neuronal information processing.}, keywords = {Data Analysis, ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Axons are traditionally considered stable transmission cables, but evidence of the regulation of action potential propagation demonstrates that axons may have more important roles. However, their small diameters render intracellular recordings challenging, and low-magnitude extracellular signals are difficult to detect and assign. Better experimental access to axonal function would help to advance this field. Here we report methods to electrically visualize action potential propagation and network topology in cortical neurons grown over custom arrays, which contain 11,011 microelectrodes and are fabricated using complementary metal oxide semiconductor technology. Any neuron lying on the array can be recorded at high spatio-temporal resolution, and simultaneously precisely stimulated with little artifact. We find substantial velocity differences occurring locally within single axons, suggesting that the temporal control of a neuron's output may contribute to neuronal information processing. Close http://www.nature.com/doifinder/10.1038/ncomms3181 doi:10.1038/ncomms3181 Close
	Müller, Jan; Bakkum, Douglas J; Hierlemann, Andreas Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons. Journal Article Frontiers in Neural Circuits, 6 , pp. 121, 2013, ISSN: 1662-5110. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation @article{Muller2012, title = {Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.}, author = {Jan Müller and Douglas J Bakkum and Andreas Hierlemann}, url = {https://www.frontiersin.org/articles/10.3389/fncir.2012.00121/full}, doi = {10.3389/fncir.2012.00121}, issn = {1662-5110}, year = {2013}, date = {2013-01-10}, journal = {Frontiers in Neural Circuits}, volume = {6}, pages = {121}, abstract = {We present a system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatio-temporal patterns of recorded action potentials and is capable of delivering sub-millisecond closed-loop feedback of electrical stimulation upon trigger events in real-time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a "knob" to tune information processing in the network.}, keywords = {ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation}, pubstate = {published}, tppubtype = {article} } Close We present a system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatio-temporal patterns of recorded action potentials and is capable of delivering sub-millisecond closed-loop feedback of electrical stimulation upon trigger events in real-time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a "knob" to tune information processing in the network. Close https://www.frontiersin.org/articles/10.3389/fncir.2012.00121/full doi:10.3389/fncir.2012.00121 Close
2012
	Franke, Felix; Jackel, David; Dragas, Jelena; Muller, Jan; Radivojevic, Milos; Bakkum, Douglas J; Hierlemann, Andreas High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity Journal Article Frontiers in Neural Circuits, 6 , pp. 105, 2012, ISSN: 1662-5110. Abstract \| Links \| BibTeX \| Tags: Neuronal Networks, Review, Spike Sorting @article{Hierlemann2012, title = {High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity}, author = {Felix Franke and David Jackel and Jelena Dragas and Jan Muller and Milos Radivojevic and Douglas J Bakkum and Andreas Hierlemann}, url = {https://www.frontiersin.org/article/10.3389/fncir.2012.00105}, doi = {10.3389/fncir.2012.00105}, issn = {1662-5110}, year = {2012}, date = {2012-12-20}, journal = {Frontiers in Neural Circuits}, volume = {6}, pages = {105}, abstract = {Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity includes recording and control of pre- and postsynaptic neural activity, e.g., by using simultaneous intracellular recording and stimulation of several neurons. Intracellular recording is, however, a demanding technique and has its limitations in that only a small number of neurons can be stimulated and recorded from at the same time. Extracellular techniques offer the possibility to simultaneously record from larger numbers of neurons with relative ease, at the expenses of increased efforts to sort out single neuronal activities from the recorded mixture, which is a time consuming and error prone step, referred to as spike sorting. In this mini-review, we describe recent technological developments in two separate fields, namely CMOS-based high-density microelectrode arrays, which also allow for extracellular stimulation of neurons, and real-time spike sorting. We argue that these techniques, when combined, will provide a powerful tool to study plasticity in neural networks consisting of several thousand neurons in vitro.}, keywords = {Neuronal Networks, Review, Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity includes recording and control of pre- and postsynaptic neural activity, e.g., by using simultaneous intracellular recording and stimulation of several neurons. Intracellular recording is, however, a demanding technique and has its limitations in that only a small number of neurons can be stimulated and recorded from at the same time. Extracellular techniques offer the possibility to simultaneously record from larger numbers of neurons with relative ease, at the expenses of increased efforts to sort out single neuronal activities from the recorded mixture, which is a time consuming and error prone step, referred to as spike sorting. In this mini-review, we describe recent technological developments in two separate fields, namely CMOS-based high-density microelectrode arrays, which also allow for extracellular stimulation of neurons, and real-time spike sorting. We argue that these techniques, when combined, will provide a powerful tool to study plasticity in neural networks consisting of several thousand neurons in vitro. Close https://www.frontiersin.org/article/10.3389/fncir.2012.00105 doi:10.3389/fncir.2012.00105 Close
	Fiscella, Michele; Farrow, Karl; Jones, Ian L; Jäckel, David; Müller, Jan; Frey, Urs; Bakkum, Douglas J; Hantz, Péter; Roska, Botond; Hierlemann, Andreas Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection Journal Article Journal of Neuroscience Methods, 211 (1), pp. 103-113, 2012, ISSN: 01650270. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Retina @article{Fiscella2012, title = {Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection}, author = {Michele Fiscella and Karl Farrow and Ian L Jones and David Jäckel and Jan Müller and Urs Frey and Douglas J Bakkum and Péter Hantz and Botond Roska and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S0165027012003287?via%3Dihub}, doi = {10.1016/j.jneumeth.2012.08.017}, issn = {01650270}, year = {2012}, date = {2012-08-16}, journal = {Journal of Neuroscience Methods}, volume = {211}, number = {1}, pages = {103-113}, publisher = {Elsevier B.V.}, abstract = {In order to understand how retinal circuits encode visual scenes, the neural activity of defined populations of retinal ganglion cells (RGCs) has to be investigated. Here we report on a method for stimulating, detecting, and subsequently targeting defined populations of RGCs. The possibility to select a distinct population of RGCs for extracellular recording enables the design of experiments that can increase our understanding of how these neurons extract precise spatio-temporal features from the visual scene, and how the brain interprets retinal signals. We used light stimulation to elicit a response from physiologically distinct types of RGCs and then utilized the dynamic-configurability capabilities of a microelectronics-based high-density microelectrode array (MEA) to record their synchronous action potentials. The layout characteristics of the MEA made it possible to stimulate and record from multiple, highly overlapping RGCs simultaneously without light-induced artifacts. The high-density of electrodes and the high signal-to-noise ratio of the MEA circuitry allowed for recording of the activity of each RGC on 14 ± 7 electrodes. The spatial features of the electrical activity of each RGC greatly facilitated spike sorting. We were thus able to localize, identify and record from defined RGCs within a region of mouse retina. In addition, we stimulated and recorded from genetically modified RGCs to demonstrate the applicability of optogenetic methods, which introduces an additional feature to target a defined cell type. The developed methodologies can likewise be applied to other neuronal preparations including brain slices or cultured neurons.}, keywords = {ETH-CMOS-MEA, Retina}, pubstate = {published}, tppubtype = {article} } Close In order to understand how retinal circuits encode visual scenes, the neural activity of defined populations of retinal ganglion cells (RGCs) has to be investigated. Here we report on a method for stimulating, detecting, and subsequently targeting defined populations of RGCs. The possibility to select a distinct population of RGCs for extracellular recording enables the design of experiments that can increase our understanding of how these neurons extract precise spatio-temporal features from the visual scene, and how the brain interprets retinal signals. We used light stimulation to elicit a response from physiologically distinct types of RGCs and then utilized the dynamic-configurability capabilities of a microelectronics-based high-density microelectrode array (MEA) to record their synchronous action potentials. The layout characteristics of the MEA made it possible to stimulate and record from multiple, highly overlapping RGCs simultaneously without light-induced artifacts. The high-density of electrodes and the high signal-to-noise ratio of the MEA circuitry allowed for recording of the activity of each RGC on 14 ± 7 electrodes. The spatial features of the electrical activity of each RGC greatly facilitated spike sorting. We were thus able to localize, identify and record from defined RGCs within a region of mouse retina. In addition, we stimulated and recorded from genetically modified RGCs to demonstrate the applicability of optogenetic methods, which introduces an additional feature to target a defined cell type. The developed methodologies can likewise be applied to other neuronal preparations including brain slices or cultured neurons. Close http://www.sciencedirect.com/science/article/pii/S0165027012003287?via%3Dihub doi:10.1016/j.jneumeth.2012.08.017 Close
	Jäckel, David; Frey, Urs; Fiscella, Michele; Franke, Felix; Hierlemann, Andreas Applicability of independent component analysis on high-density microelectrode array recordings Journal Article Journal of Neurophysiology, 108 (1), pp. 334-348, 2012, ISSN: 0022-3077. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Spike Sorting @article{Jackel2012, title = {Applicability of independent component analysis on high-density microelectrode array recordings}, author = {David Jäckel and Urs Frey and Michele Fiscella and Felix Franke and Andreas Hierlemann}, url = {http://jn.physiology.org/cgi/doi/10.1152/jn.01106.2011}, doi = {10.1152/jn.01106.2011}, issn = {0022-3077}, year = {2012}, date = {2012-04-04}, journal = {Journal of Neurophysiology}, volume = {108}, number = {1}, pages = {334-348}, abstract = {Emerging complementary metal oxide semiconductor (CMOS)-based, high-density microelectrode array (HD-MEA) devices provide high spatial resolution at subcellular level and a large number of readout channels. These devices allow for simultaneous recording of extracellular activity of a large number of neurons with every neuron being detected by multiple electrodes. To analyze the recorded signals, spiking events have to be assigned to individual neurons, a process referred to as "spike sorting." For a set of observed signals, which constitute a linear mixture of a set of source signals, independent component (IC) analysis (ICA) can be used to demix blindly the data and extract the individual source signals. This technique offers great potential to alleviate the problem of spike sorting in HD-MEA recordings, as it represents an unsupervised method to separate the neuronal sources. The separated sources or ICs then constitute estimates of single-neuron signals, and threshold detection on the ICs yields the sorted spike times. However, it is unknown to what extent extracellular neuronal recordings meet the requirements of ICA. In this paper, we evaluate the applicability of ICA to spike sorting of HD-MEA recordings. The analysis of extracellular neuronal signals, recorded at high spatiotemporal resolution, reveals that the recorded data cannot be modeled as a purely linear mixture. As a consequence, ICA fails to separate completely the neuronal signals and cannot be used as a stand-alone method for spike sorting in HD-MEA recordings. We assessed the demixing performance of ICA using simulated data sets and found that the performance strongly depends on neuronal density and spike amplitude. Furthermore, we show how postprocessing techniques can be used to overcome the most severe limitations of ICA. In combination with these postprocessing techniques, ICA represents a viable method to facilitate rapid spike sorting of multidimensional neuronal recordings.}, keywords = {ETH-CMOS-MEA, Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Emerging complementary metal oxide semiconductor (CMOS)-based, high-density microelectrode array (HD-MEA) devices provide high spatial resolution at subcellular level and a large number of readout channels. These devices allow for simultaneous recording of extracellular activity of a large number of neurons with every neuron being detected by multiple electrodes. To analyze the recorded signals, spiking events have to be assigned to individual neurons, a process referred to as "spike sorting." For a set of observed signals, which constitute a linear mixture of a set of source signals, independent component (IC) analysis (ICA) can be used to demix blindly the data and extract the individual source signals. This technique offers great potential to alleviate the problem of spike sorting in HD-MEA recordings, as it represents an unsupervised method to separate the neuronal sources. The separated sources or ICs then constitute estimates of single-neuron signals, and threshold detection on the ICs yields the sorted spike times. However, it is unknown to what extent extracellular neuronal recordings meet the requirements of ICA. In this paper, we evaluate the applicability of ICA to spike sorting of HD-MEA recordings. The analysis of extracellular neuronal signals, recorded at high spatiotemporal resolution, reveals that the recorded data cannot be modeled as a purely linear mixture. As a consequence, ICA fails to separate completely the neuronal signals and cannot be used as a stand-alone method for spike sorting in HD-MEA recordings. We assessed the demixing performance of ICA using simulated data sets and found that the performance strongly depends on neuronal density and spike amplitude. Furthermore, we show how postprocessing techniques can be used to overcome the most severe limitations of ICA. In combination with these postprocessing techniques, ICA represents a viable method to facilitate rapid spike sorting of multidimensional neuronal recordings. Close http://jn.physiology.org/cgi/doi/10.1152/jn.01106.2011 doi:10.1152/jn.01106.2011 Close
2011
	Jones, Ian L; Livi, Paolo; Lewandowska, Marta K; Fiscella, Michele; Roscic, Branka; Hierlemann, Andreas The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics Journal Article Analytical and Bioanalytical Chemistry, 399 (7), pp. 2313-2329, 2011, ISSN: 1618-2650. Abstract \| Links \| BibTeX \| Tags: Review @article{Jones2011, title = {The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics}, author = {Ian L Jones and Paolo Livi and Marta K Lewandowska and Michele Fiscella and Branka Roscic and Andreas Hierlemann}, url = {https://link.springer.com/article/10.1007%2Fs00216-010-3968-1}, doi = {10.1007/s00216-010-3968-1}, issn = {1618-2650}, year = {2011}, date = {2011-07-31}, journal = {Analytical and Bioanalytical Chemistry}, volume = {399}, number = {7}, pages = {2313-2329}, abstract = {Planar microelectrode arrays (MEAs) are devices that can be used in biomedical and basic in vitro research to provide extracellular electrophysiological information about biological systems at high spatial and temporal resolution. Complementary metal oxide semiconductor (CMOS) is a technology with which MEAs can be produced on a microscale featuring high spatial resolution and excellent signal-to-noise characteristics. CMOS MEAs are specialized for the analysis of complete electrogenic cellular networks at the cellular or subcellular level in dissociated cultures, organotypic cultures, and acute tissue slices; they can also function as biosensors to detect biochemical events. Models of disease or the response of cellular networks to pharmacological compounds can be studied in vitro, allowing one to investigate pathologies, such as cardiac arrhythmias, memory impairment due to Alzheimer's disease, or vision impairment caused by ganglion cell degeneration in the retina.}, keywords = {Review}, pubstate = {published}, tppubtype = {article} } Close Planar microelectrode arrays (MEAs) are devices that can be used in biomedical and basic in vitro research to provide extracellular electrophysiological information about biological systems at high spatial and temporal resolution. Complementary metal oxide semiconductor (CMOS) is a technology with which MEAs can be produced on a microscale featuring high spatial resolution and excellent signal-to-noise characteristics. CMOS MEAs are specialized for the analysis of complete electrogenic cellular networks at the cellular or subcellular level in dissociated cultures, organotypic cultures, and acute tissue slices; they can also function as biosensors to detect biochemical events. Models of disease or the response of cellular networks to pharmacological compounds can be studied in vitro, allowing one to investigate pathologies, such as cardiac arrhythmias, memory impairment due to Alzheimer's disease, or vision impairment caused by ganglion cell degeneration in the retina. Close https://link.springer.com/article/10.1007%2Fs00216-010-3968-1 doi:10.1007/s00216-010-3968-1 Close
	Hierlemann, Andreas; Frey, Urs; Hafizovic, Sadik; Heer, Flavio Growing cells atop microelectronic chips: Interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays Journal Article Proceedings of the IEEE, 99 (2), pp. 252-284, 2011, ISSN: 00189219. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Review @article{Hierlemann2011, title = {Growing cells atop microelectronic chips: Interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays}, author = {Andreas Hierlemann and Urs Frey and Sadik Hafizovic and Flavio Heer}, url = {http://ieeexplore.ieee.org/document/5594982/}, doi = {10.1109/JPROC.2010.2066532}, issn = {00189219}, year = {2011}, date = {2011-02-01}, journal = {Proceedings of the IEEE}, volume = {99}, number = {2}, pages = {252-284}, abstract = {Complementary semiconductor-metal-oxide (CMOS) technology is a very powerful technology that can be more or less directly interfaced to electrogenic cells, like heart or brain cells in vitro. To this end, the cells are cultured directly atop the CMOS chips, which usually undergo dedicated postprocessing to obtain a reliable bidirectional interface via noble-metal microelectrodes or high-k dielectrics. The big advantages of using CMOS integrated circuits (ICs) include connectivity, the possibility to address a large number of microelectrodes on a tiny chip, and signal quality, the possibility to condition small signals right at the spot of their generation. CMOS will be demonstrated to constitute an enabling technology that opens a route to high-spatio-temporal-resolution and low-noise electrophysiological recordings from a variety of biological preparations, such as brain slices, or cultured cardiac and brain cells. The recording technique is extracellular and noninvasive, and the CMOS chips do not leak out any toxic compounds, so that the cells remain viable for extended times. In turn, the CMOS chips have been demonstrated to survive several months of culturing while being fully immersed in saline solution and being exposed to cellular metabolic products. The latter requires dedicated passivation and packaging techniques as will be shown. Fully integrated, monolithic microelectrode systems, which feature large numbers of tightly spaced microelectrodes and the associated circuitry units for bidirectional interaction (stimulation and recording), will be in the focus of this review. The respective dense microelectrode arrays (MEAs) with small pixels enable subcellular-resolution investigation of regions of interest in, e.g., neurobiological preparations, and, at the same time, the large number of electrodes allows for studying the activity of entire neuronal networks . Application areas include neuroscience, as the devices enable fundamental neurophysiological insights at the cellular and circuit level, as well as medical diagnostics and pharmacology.}, keywords = {ETH-CMOS-MEA, MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close Complementary semiconductor-metal-oxide (CMOS) technology is a very powerful technology that can be more or less directly interfaced to electrogenic cells, like heart or brain cells in vitro. To this end, the cells are cultured directly atop the CMOS chips, which usually undergo dedicated postprocessing to obtain a reliable bidirectional interface via noble-metal microelectrodes or high-k dielectrics. The big advantages of using CMOS integrated circuits (ICs) include connectivity, the possibility to address a large number of microelectrodes on a tiny chip, and signal quality, the possibility to condition small signals right at the spot of their generation. CMOS will be demonstrated to constitute an enabling technology that opens a route to high-spatio-temporal-resolution and low-noise electrophysiological recordings from a variety of biological preparations, such as brain slices, or cultured cardiac and brain cells. The recording technique is extracellular and noninvasive, and the CMOS chips do not leak out any toxic compounds, so that the cells remain viable for extended times. In turn, the CMOS chips have been demonstrated to survive several months of culturing while being fully immersed in saline solution and being exposed to cellular metabolic products. The latter requires dedicated passivation and packaging techniques as will be shown. Fully integrated, monolithic microelectrode systems, which feature large numbers of tightly spaced microelectrodes and the associated circuitry units for bidirectional interaction (stimulation and recording), will be in the focus of this review. The respective dense microelectrode arrays (MEAs) with small pixels enable subcellular-resolution investigation of regions of interest in, e.g., neurobiological preparations, and, at the same time, the large number of electrodes allows for studying the activity of entire neuronal networks . Application areas include neuroscience, as the devices enable fundamental neurophysiological insights at the cellular and circuit level, as well as medical diagnostics and pharmacology. Close http://ieeexplore.ieee.org/document/5594982/ doi:10.1109/JPROC.2010.2066532 Close
2010
	Livi, Paolo; Heer, Flavio; Frey, Urs; Bakkum, Douglas J; Hierlemann, Andreas Compact voltage and current stimulation buffer for high-density microelectrode arrays Journal Article IEEE Transactions on Biomedical Circuits and Systems, 4 (6), pp. 372-378, 2010, ISSN: 19324545. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Stimulation @article{Livi2010, title = {Compact voltage and current stimulation buffer for high-density microelectrode arrays}, author = {Paolo Livi and Flavio Heer and Urs Frey and Douglas J Bakkum and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/5617318/}, doi = {10.1109/TBCAS.2010.2080676}, issn = {19324545}, year = {2010}, date = {2010-11-01}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {4}, number = {6}, pages = {372-378}, abstract = {We report on a compact (0.02 mm2 ) buffer for both voltage and current stimulation of electrogenic cells on a complementary metal-oxide semiconductor microelectrode array. In voltage mode, the circuit is a high-current class-AB voltage follower, based on a local common-mode feedback (LCMFB) amplifier. In current mode, the circuit is a current conveyor of type II, using the same LCMFB amplifier with cascode stages to increase the gain. The circuit shows good linearity in the 0.5-3.5 V input range and has extensively been used for stimulation of neuronal cultures.}, keywords = {ETH-CMOS-MEA, MEA Technology, Stimulation}, pubstate = {published}, tppubtype = {article} } Close We report on a compact (0.02 mm2 ) buffer for both voltage and current stimulation of electrogenic cells on a complementary metal-oxide semiconductor microelectrode array. In voltage mode, the circuit is a high-current class-AB voltage follower, based on a local common-mode feedback (LCMFB) amplifier. In current mode, the circuit is a current conveyor of type II, using the same LCMFB amplifier with cascode stages to increase the gain. The circuit shows good linearity in the 0.5-3.5 V input range and has extensively been used for stimulation of neuronal cultures. Close http://ieeexplore.ieee.org/document/5617318/ doi:10.1109/TBCAS.2010.2080676 Close
	Frey, Urs; Sedivy, Jan; Heer, Flavio; Pedron, Rene; Ballini, Marco; Müller, Jan; Bakkum, Douglas J; Hafizovic, Sadik; Faraci, Francesca D; Greve, Frauke; Kirstein, Kay Uwe; Hierlemann, Andreas Switch-matrix-based high-density microelectrode array in CMOS technology Journal Article IEEE Journal of Solid-State Circuits, 45 (2), pp. 467-482, 2010, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology @article{Frey2010, title = {Switch-matrix-based high-density microelectrode array in CMOS technology}, author = {Urs Frey and Jan Sedivy and Flavio Heer and Rene Pedron and Marco Ballini and Jan Müller and Douglas J Bakkum and Sadik Hafizovic and Francesca D Faraci and Frauke Greve and Kay Uwe Kirstein and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/5405139/}, doi = {10.1109/JSSC.2009.2035196}, issn = {00189200}, year = {2010}, date = {2010-02-02}, journal = {IEEE Journal of Solid-State Circuits}, volume = {45}, number = {2}, pages = {467-482}, abstract = {We report on a CMOS-based microelectrode array (MEA) featuring 11, 011 metal electrodes and 126 channels, each of which comprises recording and stimulation electronics, for extracellular bidirectional communication with electrogenic cells, such as neurons or cardiomyocytes. The important features include: (i) high spatial resolution at (sub)cellular level with 3150 electrodes per mm2 (electrode diameter 7 um, electrode pitch 18 um); (ii) a reconflgurable routing of the recording sites to the 126 channels; and (iii) low noise levels.}, keywords = {ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close We report on a CMOS-based microelectrode array (MEA) featuring 11, 011 metal electrodes and 126 channels, each of which comprises recording and stimulation electronics, for extracellular bidirectional communication with electrogenic cells, such as neurons or cardiomyocytes. The important features include: (i) high spatial resolution at (sub)cellular level with 3150 electrodes per mm2 (electrode diameter 7 um, electrode pitch 18 um); (ii) a reconflgurable routing of the recording sites to the 126 channels; and (iii) low noise levels. Close http://ieeexplore.ieee.org/document/5405139/ doi:10.1109/JSSC.2009.2035196 Close
2009
	Frey, U; Egert, U; Jäckel, D; Sedivy, J; Ballini, M; Livi, P; Faraci, F; F. Heer, Hafizovic S; Roscic, B; Hierlemann, A Depth Recording Capabilities of Planar High-Density Microelectrode Arrays Conference 2009 4th International IEEE/EMBS Conference on Neural Engineering 2009. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, Brain Slice, ETH-CMOS-MEA @conference{Frey2009b, title = {Depth Recording Capabilities of Planar High-Density Microelectrode Arrays}, author = {U. Frey and U. Egert and D. Jäckel and J. Sedivy and M. Ballini and P. Livi and F. Faraci and F. Heer, S. Hafizovic and B. Roscic and A. Hierlemann}, url = {https://ieeexplore.ieee.org/document/5109270}, doi = {10.1109/NER.2009.5109270}, year = {2009}, date = {2009-04-01}, organization = {2009 4th International IEEE/EMBS Conference on Neural Engineering}, abstract = {We use a planar, CMOS-based microelectrode array (MEA) featuring 3,150 metal electrodes per mm2 and 126 recording channels to record spatially highly resolved extracellular action potentials (EAPs) from Purkinje cells (PCs) in acute cerebellar slices. An IndependentComponent-Analysis-based (ICA) spike sorter is used to reveal EAPs of single cells at subcellular resolution. Those EAPs are then used to set up a compartment model of a PC. The model is used to make and finetune estimations of the distance between MEA surface and PC soma. This distance is estimated using the amplitude-independent part of the shape of the EAPs obtained from recordings. The estimation shows that, in our preparations, we can record from PCs with the center of their soma at approximately 35 μm and 90 μm vertical distance to the chip surface.}, keywords = {2D Neuronal Culture, Brain Slice, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {conference} } Close We use a planar, CMOS-based microelectrode array (MEA) featuring 3,150 metal electrodes per mm2 and 126 recording channels to record spatially highly resolved extracellular action potentials (EAPs) from Purkinje cells (PCs) in acute cerebellar slices. An IndependentComponent-Analysis-based (ICA) spike sorter is used to reveal EAPs of single cells at subcellular resolution. Those EAPs are then used to set up a compartment model of a PC. The model is used to make and finetune estimations of the distance between MEA surface and PC soma. This distance is estimated using the amplitude-independent part of the shape of the EAPs obtained from recordings. The estimation shows that, in our preparations, we can record from PCs with the center of their soma at approximately 35 μm and 90 μm vertical distance to the chip surface. Close https://ieeexplore.ieee.org/document/5109270 doi:10.1109/NER.2009.5109270 Close
	Frey, Urs; Egert, Ulrich; Heer, Flavio; Hafizovic, Sadik; Hierlemann, Andreas Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices Journal Article Biosensors and Bioelectronics, 24 (7), pp. 2191-2198, 2009, ISSN: 09565663. Abstract \| Links \| BibTeX \| Tags: Brain Slice, ETH-CMOS-MEA @article{Frey2009, title = {Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices}, author = {Urs Frey and Ulrich Egert and Flavio Heer and Sadik Hafizovic and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S095656630800643X?via%3Dihub}, doi = {10.1016/j.bios.2008.11.028}, issn = {09565663}, year = {2009}, date = {2009-03-15}, journal = {Biosensors and Bioelectronics}, volume = {24}, number = {7}, pages = {2191-2198}, abstract = {There is an enduring quest for technologies that provide - temporally and spatially - highly resolved information on electric neuronal or cardiac activity in functional tissues or cell cultures. Here, we present a planar high-density, low-noise microelectrode system realized in microelectronics technology that features 11,011 microelectrodes (3,150 electrodes per mm2), 126 of which can be arbitrarily selected and can, via a reconfigurable routing scheme, be connected to on-chip recording and stimulation circuits. This device enables long-term extracellular electrical-activity recordings at subcellular spatial resolution and microsecond temporal resolution to capture the entire dynamics of the cellular electrical signals. To illustrate the device performance, extracellular potentials of Purkinje cells (PCs) in acute slices of the cerebellum have been analyzed. A detailed and comprehensive picture of the distribution and dynamics of action potentials (APs) in the somatic and dendritic regions of a single cell was obtained from the recordings by applying spike sorting and spike-triggered averaging methods to the collected data. An analysis of the measured local current densities revealed a reproducible sink/source pattern within a single cell during an AP. The experimental data substantiated compartmental models and can be used to extend those models to better understand extracellular single-cell potential patterns and their contributions to the population activity. The presented devices can be conveniently applied to a broad variety of biological preparations, i.e., neural or cardiac tissues, slices, or cell cultures can be grown or placed directly atop of the chips for fundamental mechanistic or pharmacological studies.}, keywords = {Brain Slice, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close There is an enduring quest for technologies that provide - temporally and spatially - highly resolved information on electric neuronal or cardiac activity in functional tissues or cell cultures. Here, we present a planar high-density, low-noise microelectrode system realized in microelectronics technology that features 11,011 microelectrodes (3,150 electrodes per mm2), 126 of which can be arbitrarily selected and can, via a reconfigurable routing scheme, be connected to on-chip recording and stimulation circuits. This device enables long-term extracellular electrical-activity recordings at subcellular spatial resolution and microsecond temporal resolution to capture the entire dynamics of the cellular electrical signals. To illustrate the device performance, extracellular potentials of Purkinje cells (PCs) in acute slices of the cerebellum have been analyzed. A detailed and comprehensive picture of the distribution and dynamics of action potentials (APs) in the somatic and dendritic regions of a single cell was obtained from the recordings by applying spike sorting and spike-triggered averaging methods to the collected data. An analysis of the measured local current densities revealed a reproducible sink/source pattern within a single cell during an AP. The experimental data substantiated compartmental models and can be used to extend those models to better understand extracellular single-cell potential patterns and their contributions to the population activity. The presented devices can be conveniently applied to a broad variety of biological preparations, i.e., neural or cardiac tissues, slices, or cell cultures can be grown or placed directly atop of the chips for fundamental mechanistic or pharmacological studies. Close http://www.sciencedirect.com/science/article/pii/S095656630800643X?via%3Dihub doi:10.1016/j.bios.2008.11.028 Close
	Weber, Wilfried; Luzi, Stefan; Karlsson, Maria; Sanchez-Bustamante, Carlota Diaz; Frey, Urs; Hierlemann, Andreas; Fussenegger, Martin A synthetic mammalian electro-genetic transcription circuit Journal Article Nucleic Acids Research, 37 (4), pp. 1-8, 2009, ISSN: 03051048. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Weber2009, title = {A synthetic mammalian electro-genetic transcription circuit}, author = {Wilfried Weber and Stefan Luzi and Maria Karlsson and Carlota Diaz Sanchez-Bustamante and Urs Frey and Andreas Hierlemann and Martin Fussenegger}, url = {https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkp014}, doi = {10.1093/nar/gkp014}, issn = {03051048}, year = {2009}, date = {2009-02-03}, journal = {Nucleic Acids Research}, volume = {37}, number = {4}, pages = {1-8}, abstract = {Electric signal processing has evolved to manage rapid information transfer in neuronal networks and muscular contraction in multicellular organisms and controls the most sophisticated man-built devices. Using a synthetic biology approach to assemble electronic parts with genetic control units engineered into mammalian cells, we designed an electric power-adjustable transcription control circuit able to integrate the intensity of a direct current over time, to translate the amplitude or frequency of an alternating current into an adjustable genetic readout or to modulate the beating frequency of primary heart cells. Successful miniaturization of the electro-genetic devices may pave the way for the design of novel hybrid electrogenetic implants assembled from electronic and genetic parts.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Electric signal processing has evolved to manage rapid information transfer in neuronal networks and muscular contraction in multicellular organisms and controls the most sophisticated man-built devices. Using a synthetic biology approach to assemble electronic parts with genetic control units engineered into mammalian cells, we designed an electric power-adjustable transcription control circuit able to integrate the intensity of a direct current over time, to translate the amplitude or frequency of an alternating current into an adjustable genetic readout or to modulate the beating frequency of primary heart cells. Successful miniaturization of the electro-genetic devices may pave the way for the design of novel hybrid electrogenetic implants assembled from electronic and genetic parts. Close https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkp014 doi:10.1093/nar/gkp014 Close
2008
	Sanchez-Bustamante, Carlota Diaz; Frey, Urs; Kelm, Jens M; Hierlemann, Andreas; Fussenegger, Martin Modulation of cardiomyocyte electrical properties using regulated bone morphogenetic protein-2 expression. Journal Article Tissue Engineering. Part A, 14 (12), pp. 1969-1988, 2008, ISSN: 1937-3341. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Sanchez-Bustamante2008, title = {Modulation of cardiomyocyte electrical properties using regulated bone morphogenetic protein-2 expression.}, author = {Carlota Diaz Sanchez-Bustamante and Urs Frey and Jens M Kelm and Andreas Hierlemann and Martin Fussenegger}, url = {http://online.liebertpub.com/doi/abs/10.1089/ten.tea.2007.0302?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed}, doi = {10.1089/ten.tea.2007.0302}, issn = {1937-3341}, year = {2008}, date = {2008-11-19}, journal = {Tissue Engineering. Part A}, volume = {14}, number = {12}, pages = {1969-1988}, abstract = {Because cardiomyocytes lose their ability to divide after birth, any subsequent cell loss or dysfunction results in pathologic cardiac rhythm initiation or impulse conduction. Strategies to restore and control the electrophysiological activity of the heart may, therefore, greatly affect the regeneration of cardiac tissue functionality. Using lentivirus-derived particles to regulate the bone morphogenetic protein-2 (BMP-2) gene expression in a pristinamycin- or gaseous acetaldehyde-inducible manner, we demonstrated the adjustment of cardiomyocyte electrophysiological characteristics. Complementary metal oxide semiconductor-based high-density microelectrode arrays (HD-MEAs) were used to monitor the electrophysiological activity of neonatal rat cardiomyocytes (NRCs) cultured as monolayers (NRCml) or as microtissues (NRCmt). NRCmt more closely resembled heart tissue physiology than did NRCml and could be conveniently monitored using HD-MEAs because of their ability to detect low-signal events and to sub-select the region of interest, namely, areas where the microtissues were placed. Cardiomyocyte-forming microtissues, transduced using lentiviral vectors encoding BMP-2, were capable of restoring myocardial microtissue electrical activity. We also engineered NRCmt to functionally couple within a cardiomyocyte monolayer, thus showing pacemaker-like activity upon local regulation of transgenic BMP-2 expression. The controlled expression of therapeutic transgenes represents a crucial advance for clinical interventions and gene-function analysis.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Because cardiomyocytes lose their ability to divide after birth, any subsequent cell loss or dysfunction results in pathologic cardiac rhythm initiation or impulse conduction. Strategies to restore and control the electrophysiological activity of the heart may, therefore, greatly affect the regeneration of cardiac tissue functionality. Using lentivirus-derived particles to regulate the bone morphogenetic protein-2 (BMP-2) gene expression in a pristinamycin- or gaseous acetaldehyde-inducible manner, we demonstrated the adjustment of cardiomyocyte electrophysiological characteristics. Complementary metal oxide semiconductor-based high-density microelectrode arrays (HD-MEAs) were used to monitor the electrophysiological activity of neonatal rat cardiomyocytes (NRCs) cultured as monolayers (NRCml) or as microtissues (NRCmt). NRCmt more closely resembled heart tissue physiology than did NRCml and could be conveniently monitored using HD-MEAs because of their ability to detect low-signal events and to sub-select the region of interest, namely, areas where the microtissues were placed. Cardiomyocyte-forming microtissues, transduced using lentiviral vectors encoding BMP-2, were capable of restoring myocardial microtissue electrical activity. We also engineered NRCmt to functionally couple within a cardiomyocyte monolayer, thus showing pacemaker-like activity upon local regulation of transgenic BMP-2 expression. The controlled expression of therapeutic transgenes represents a crucial advance for clinical interventions and gene-function analysis. Close http://online.liebertpub.com/doi/abs/10.1089/ten.tea.2007.0302?url_ver=Z39.88-20[...] doi:10.1089/ten.tea.2007.0302 Close
2007
	Heer, Flavio; Hafizovic, Sadik; Ugniwenko, T; Frey, Urs; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas A CMOS-based microelectrode array for interaction with neuronal cultures Journal Article Journal of Neuroscience Methods, 164 (1), pp. 93-106, 2007, ISSN: 0165-0270. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Hierlemann2007, title = {A CMOS-based microelectrode array for interaction with neuronal cultures}, author = {Flavio Heer and Sadik Hafizovic and T Ugniwenko and Urs Frey and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0165027007001781}, doi = {10.1016/j.jneumeth.2007.04.006}, issn = {0165-0270}, year = {2007}, date = {2007-04-19}, journal = {Journal of Neuroscience Methods}, volume = {164}, number = {1}, pages = {93-106}, abstract = {We report on the system integration of a CMOS chip that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes and that is targeted at investigating electrical signal propagation within cellular networks in vitro. The overall system consists of three major subunits: first, the core component is a 6.5 mm × 6.5 mm CMOS chip, on top of which the cells are cultured. It features 128 bidirectional electrodes, each equipped with dedicated analog filters and amplification stages and a stimulation buffer. The electrodes are sampled at 20 kHz with 8-bit resolution. The measured input-referred circuitry noise is 5.9 muV root mean square (10 Hz to 100 kHz), which allows to reliably detect the cell signals ranging from 1 mVpp down to 40 muVpp. Additionally, temperature sensors, a digital-to-analog converter for stimulation, and a digital interface for data transmission are integrated. Second, there is a reconfigurable logic device, which provides chip control, event detection, data buffering and an USB interface, capable of processing the 2.56 million samples per second. The third element includes software that is running on a standard PC performing data capturing, processing, and visualization. Experiments involving the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The response patterns have been successfully classified (83% correct) with respect to the different stimulation patterns. The advantages over current microelectrode arrays, as has been demonstrated in the experiments, include the capability to stimulate (voltage stimulation, 8 bit, 60 kHz) spatio-temporal patterns on arbitrary sets of electrodes and the fast stimulation reset mechanism that allows to record neuronal signals on a stimulating electrode 5 ms after stimulation (instantaneously on all other electrodes). Other advantages of the overall system include the small number of needed electrical connections due to the digital interface and the short latency time that allows to initiate a stimulation less than 2 ms after the detection of an action potential in closed-loop configurations.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close We report on the system integration of a CMOS chip that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes and that is targeted at investigating electrical signal propagation within cellular networks in vitro. The overall system consists of three major subunits: first, the core component is a 6.5 mm × 6.5 mm CMOS chip, on top of which the cells are cultured. It features 128 bidirectional electrodes, each equipped with dedicated analog filters and amplification stages and a stimulation buffer. The electrodes are sampled at 20 kHz with 8-bit resolution. The measured input-referred circuitry noise is 5.9 muV root mean square (10 Hz to 100 kHz), which allows to reliably detect the cell signals ranging from 1 mVpp down to 40 muVpp. Additionally, temperature sensors, a digital-to-analog converter for stimulation, and a digital interface for data transmission are integrated. Second, there is a reconfigurable logic device, which provides chip control, event detection, data buffering and an USB interface, capable of processing the 2.56 million samples per second. The third element includes software that is running on a standard PC performing data capturing, processing, and visualization. Experiments involving the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The response patterns have been successfully classified (83% correct) with respect to the different stimulation patterns. The advantages over current microelectrode arrays, as has been demonstrated in the experiments, include the capability to stimulate (voltage stimulation, 8 bit, 60 kHz) spatio-temporal patterns on arbitrary sets of electrodes and the fast stimulation reset mechanism that allows to record neuronal signals on a stimulating electrode 5 ms after stimulation (instantaneously on all other electrodes). Other advantages of the overall system include the small number of needed electrical connections due to the digital interface and the short latency time that allows to initiate a stimulation less than 2 ms after the detection of an action potential in closed-loop configurations. Close http://linkinghub.elsevier.com/retrieve/pii/S0165027007001781 doi:10.1016/j.jneumeth.2007.04.006 Close
	Greve, Frauke; Lichtenberg, Jan; Kirstein, Kay Uwe; Frey, Urs; Perriard, Jean Claude; Hierlemann, Andreas A perforated CMOS microchip platform for immobilization and activity monitoring of electrogenic cells Journal Article Journal of Micromechanics and Microengineering, 17 (3), pp. 462-471, 2007, ISSN: 0960-1317. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, Cardiomyocytes, ETH-CMOS-MEA, MEA Technology @article{Greve2007, title = {A perforated CMOS microchip platform for immobilization and activity monitoring of electrogenic cells}, author = {Frauke Greve and Jan Lichtenberg and Kay Uwe Kirstein and Urs Frey and Jean Claude Perriard and Andreas Hierlemann}, url = {http://iopscience.iop.org/article/10.1088/0960-1317/17/3/007/}, doi = {10.1088/0960-1317/17/3/007}, issn = {0960-1317}, year = {2007}, date = {2007-01-30}, journal = {Journal of Micromechanics and Microengineering}, volume = {17}, number = {3}, pages = {462-471}, abstract = {CMOS-based microelectrode systems offer decisive advantages over conventional micro-electrode arrays, which include the possibility to perform on-chip signal conditioning or to efficiently use larger numbers of electrodes to obtain statistically relevant data, e.g., in pharmacological drug screening. A larger number of electrodes can only be realized with the help of on-chip multiplexing and readout schemes, which require integrated electronics. Another fundamental issue in performing high-fidelity recordings from electrogenic cells is a good electrical coupling between the cells and the microelectrodes, in particular, since the recorded extracellular signals are in the range of only 10–1000 µV. In this paper we present the first CMOS microelectrode system with integrated micromechanical cell-placement features fabricated in a commercial CMOS process with subsequent post-CMOS bulk micromachining. This new microdevice aims at enabling the precise placement of single cells in the center of the electrodes to ensure an efficient use of the available electrodes, even for low-density cell cultures. Small through-chip holes have been generated at the metal-electrode sites by using a combination of bulk micromachining and reactive-ion etching. These holes act as orifices so that cell immobilization can be achieved by means of pneumatic anchoring. The chip additionally hosts integrated circuitry, i.e., multiplexers to select the respective readout electrodes, an amplifier with selectable gain (2×, 10×, 100×), and a high-pass filter (100 Hz cut-off). In this paper we show that electrical signals from most of the electrodes can be recorded, even in low-density cultures of neonatal rat cardiomyocytes, by using perforated metal electrodes and by applying a small underpressure from the backside of the chip. The measurements evidenced that, in most cases, about 90% of the electrodes were covered with single cells, approximately 4% were covered with more than one cell due to clustering and approximately 6% were not covered with any cell, mostly as a consequence of orifice clogging. After 4 days of culturing, the cells were still in place on the electrodes so that the cell electrical activity could be measured using the on-chip circuitry. Measured signal amplitudes were in the range of 500–700 µV, while the input-referred noise of the readout was below 15 µVrms (100 Hz–4 kHz bandwidth). We report on the development and fabrication of this new cell-biological tool and present first results collected during the characterization and evaluation of the chip. The recordings of electrical potentials of neonatal rat cardiomyocytes after several days in vitro, which, on the one hand, were conventionally cultured (no pneumatic anchoring) and, on the other hand, were anchored and immobilized, will be detailed.}, keywords = {2D Neuronal Culture, Cardiomyocytes, ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close CMOS-based microelectrode systems offer decisive advantages over conventional micro-electrode arrays, which include the possibility to perform on-chip signal conditioning or to efficiently use larger numbers of electrodes to obtain statistically relevant data, e.g., in pharmacological drug screening. A larger number of electrodes can only be realized with the help of on-chip multiplexing and readout schemes, which require integrated electronics. Another fundamental issue in performing high-fidelity recordings from electrogenic cells is a good electrical coupling between the cells and the microelectrodes, in particular, since the recorded extracellular signals are in the range of only 10–1000 µV. In this paper we present the first CMOS microelectrode system with integrated micromechanical cell-placement features fabricated in a commercial CMOS process with subsequent post-CMOS bulk micromachining. This new microdevice aims at enabling the precise placement of single cells in the center of the electrodes to ensure an efficient use of the available electrodes, even for low-density cell cultures. Small through-chip holes have been generated at the metal-electrode sites by using a combination of bulk micromachining and reactive-ion etching. These holes act as orifices so that cell immobilization can be achieved by means of pneumatic anchoring. The chip additionally hosts integrated circuitry, i.e., multiplexers to select the respective readout electrodes, an amplifier with selectable gain (2×, 10×, 100×), and a high-pass filter (100 Hz cut-off). In this paper we show that electrical signals from most of the electrodes can be recorded, even in low-density cultures of neonatal rat cardiomyocytes, by using perforated metal electrodes and by applying a small underpressure from the backside of the chip. The measurements evidenced that, in most cases, about 90% of the electrodes were covered with single cells, approximately 4% were covered with more than one cell due to clustering and approximately 6% were not covered with any cell, mostly as a consequence of orifice clogging. After 4 days of culturing, the cells were still in place on the electrodes so that the cell electrical activity could be measured using the on-chip circuitry. Measured signal amplitudes were in the range of 500–700 µV, while the input-referred noise of the readout was below 15 µVrms (100 Hz–4 kHz bandwidth). We report on the development and fabrication of this new cell-biological tool and present first results collected during the characterization and evaluation of the chip. The recordings of electrical potentials of neonatal rat cardiomyocytes after several days in vitro, which, on the one hand, were conventionally cultured (no pneumatic anchoring) and, on the other hand, were anchored and immobilized, will be detailed. Close http://iopscience.iop.org/article/10.1088/0960-1317/17/3/007/ doi:10.1088/0960-1317/17/3/007 Close
	Frey, U; Heer, F; Pedro, R; Greve, F; Hafizovic, S; Kirstein, K -U; Hierlemann, A 11'000 Electrode-, 126 channel-CMOS microelectrode array for electrogenic cells Conference 2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS), 2007. Abstract \| Links \| BibTeX \| Tags: Action Potential, Brain Slice, Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Spike Sorting @conference{Frey2007, title = {11'000 Electrode-, 126 channel-CMOS microelectrode array for electrogenic cells}, author = {U. Frey and F. Heer and R. Pedro and F. Greve and S. Hafizovic and K.-U. Kirstein and A. Hierlemann}, url = {http://ieeexplore.ieee.org/document/4433154/}, doi = {10.1109/MEMSYS.2007.4433154}, year = {2007}, date = {2007-01-01}, booktitle = {2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS)}, journal = {2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS)}, abstract = {We present a CMOS-based microelectrode array with 11'016 metal electrodes and 126 on-chip channels, each of which includes recording and stimulation electronics for bidirectional communication with electrogenic cells (neurons or cardiomyocytes). The features of this chip include high spatial resolution with 3200 electrodes per mm2 to attain cellular or subcellular resolution (electrode diameter 7 μm, pitch 18 μm, honeycomb pattern), great flexibility in routing the 126 channels to the 11’016 recording sites, and low noise levels in the recordings (2.4 μVrms) so that single action potentials from mammalian cells can be monitored. The low noise levels also enable the recording of single-unit spike activity in acute slice preparations.}, keywords = {Action Potential, Brain Slice, Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Spike Sorting}, pubstate = {published}, tppubtype = {conference} } Close We present a CMOS-based microelectrode array with 11'016 metal electrodes and 126 on-chip channels, each of which includes recording and stimulation electronics for bidirectional communication with electrogenic cells (neurons or cardiomyocytes). The features of this chip include high spatial resolution with 3200 electrodes per mm2 to attain cellular or subcellular resolution (electrode diameter 7 μm, pitch 18 μm, honeycomb pattern), great flexibility in routing the 126 channels to the 11’016 recording sites, and low noise levels in the recordings (2.4 μVrms) so that single action potentials from mammalian cells can be monitored. The low noise levels also enable the recording of single-unit spike activity in acute slice preparations. Close http://ieeexplore.ieee.org/document/4433154/ doi:10.1109/MEMSYS.2007.4433154 Close
2006
	Heer, Flavio; Hafizovic, Sadik; Ugniwenko, T; Frey, Urs; Franks, Wendy; Perriard, Evelyne; Perriard, Jean Claude; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas Single-chip microelectronic system to interface with living cells Journal Article Biosensors & Bioelectronics, 22 (11), pp. 2546-2553, 2006, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA, Neuronal Networks @article{Hierlemann2006, title = {Single-chip microelectronic system to interface with living cells}, author = {Flavio Heer and Sadik Hafizovic and T Ugniwenko and Urs Frey and Wendy Franks and Evelyne Perriard and Jean Claude Perriard and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S0956566306004891?via%3Dihub}, doi = {10.1016/j.bios.2006.10.003}, issn = {0956-5663}, year = {2006}, date = {2006-11-13}, journal = {Biosensors & Bioelectronics}, volume = {22}, number = {11}, pages = {2546-2553}, abstract = {A high degree of connectivity and the coordinated electrical activity of neural cells or networks are believed to be the reason that the brain is capable of highly sophisticated information processing. Likewise, the effectiveness of an animal heart largely depends on such coordinated cell activity. To advance our understanding of these complex biological systems, high spatiotemporal-resolution techniques to monitor the cell electrical activity and an ideally seamless interaction between cells and recording devices are desired. Here we present a monolithic microsystem in complementary metal oxide semiconductor (CMOS) technology that provides bidirectional communication (stimulation and recording) between standard electronics technology and cultured electrogenic cells. The microchip can be directly used as a substrate for cell culturing, it features circuitry units per electrode for stimulation and immediate cell signal treatment, and it provides on-chip signal transformation as well as a digital interface so that a very fast, almost real-time interaction (2ms loop time from event recognition to, e.g., a defined stimulation) is possible at remarkable signal quality. The corresponding spontaneous and stimulated electrical activity recordings with neuronal and cardiac cell cultures will be presented. The system can be used to, e.g., study the development of neural networks, reveal the effects of neuronal plasticity and study cellular or network activity in response to pharmacological treatments.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close A high degree of connectivity and the coordinated electrical activity of neural cells or networks are believed to be the reason that the brain is capable of highly sophisticated information processing. Likewise, the effectiveness of an animal heart largely depends on such coordinated cell activity. To advance our understanding of these complex biological systems, high spatiotemporal-resolution techniques to monitor the cell electrical activity and an ideally seamless interaction between cells and recording devices are desired. Here we present a monolithic microsystem in complementary metal oxide semiconductor (CMOS) technology that provides bidirectional communication (stimulation and recording) between standard electronics technology and cultured electrogenic cells. The microchip can be directly used as a substrate for cell culturing, it features circuitry units per electrode for stimulation and immediate cell signal treatment, and it provides on-chip signal transformation as well as a digital interface so that a very fast, almost real-time interaction (2ms loop time from event recognition to, e.g., a defined stimulation) is possible at remarkable signal quality. The corresponding spontaneous and stimulated electrical activity recordings with neuronal and cardiac cell cultures will be presented. The system can be used to, e.g., study the development of neural networks, reveal the effects of neuronal plasticity and study cellular or network activity in response to pharmacological treatments. Close http://www.sciencedirect.com/science/article/pii/S0956566306004891?via%3Dihub doi:10.1016/j.bios.2006.10.003 Close
	Franks, Wendy; Tosatti, Samuele; Heer, Flavio; Seif, Philipp; Textor, Marcus; Hierlemann, Andreas Patterned cell adhesion by self-assembled structures for use with a CMOS cell-based biosensor Journal Article Biosensors & Bioelectronics, 22 (7), pp. 1426-1433, 2006, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Hierlemann2006b, title = {Patterned cell adhesion by self-assembled structures for use with a CMOS cell-based biosensor}, author = {Wendy Franks and Samuele Tosatti and Flavio Heer and Philipp Seif and Marcus Textor and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S095656630600282X?via%3Dihub}, doi = {10.1016/j.bios.2006.06.031}, issn = {0956-5663}, year = {2006}, date = {2006-10-19}, journal = {Biosensors & Bioelectronics}, volume = {22}, number = {7}, pages = {1426-1433}, abstract = {A strategy for patterned cell adhesion based on chemical surface modification is presented. To confine cell adhesion to specific locations, an engineered surface for high-contrast protein adsorption and, hence, cell attachment has been developed. Surface functionalization is based on selective molecular-assembly patterning (SMAP). An amine-terminated self-assembled monolayer is used to define areas of cell adhesion. A protein-repellent grafted copolymer, poly(l-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG), is used to render the surrounding silicon dioxide resistant to protein adsorption. X-ray photoelectron spectroscopy, scanning ellipsometry and fluorescence microscopy techniques were used to monitor the individual steps of the patterning process. Successful guided growth using these layers is demonstrated with primary neonatal rat cardiomyocytes, up to 4 days in vitro, and with the HL-1 cardiomyocyte cell line, up to 7 days in vitro. The advantage of the presented method is that high-resolution engineered surfaces can be realized using a simple, cost-effective, dip-and-rinse process. The technique has been developed for application on a CMOS cell-based biosensor, which comprises an array of microelectrodes to extracellularly record electrical activity from cardiomyocytes.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close A strategy for patterned cell adhesion based on chemical surface modification is presented. To confine cell adhesion to specific locations, an engineered surface for high-contrast protein adsorption and, hence, cell attachment has been developed. Surface functionalization is based on selective molecular-assembly patterning (SMAP). An amine-terminated self-assembled monolayer is used to define areas of cell adhesion. A protein-repellent grafted copolymer, poly(l-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG), is used to render the surrounding silicon dioxide resistant to protein adsorption. X-ray photoelectron spectroscopy, scanning ellipsometry and fluorescence microscopy techniques were used to monitor the individual steps of the patterning process. Successful guided growth using these layers is demonstrated with primary neonatal rat cardiomyocytes, up to 4 days in vitro, and with the HL-1 cardiomyocyte cell line, up to 7 days in vitro. The advantage of the presented method is that high-resolution engineered surfaces can be realized using a simple, cost-effective, dip-and-rinse process. The technique has been developed for application on a CMOS cell-based biosensor, which comprises an array of microelectrodes to extracellularly record electrical activity from cardiomyocytes. Close http://www.sciencedirect.com/science/article/pii/S095656630600282X?via%3Dihub doi:10.1016/j.bios.2006.06.031 Close
	Heer, Flavio; Hafizovic, Sadik; Franks, Wendy; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas CMOS microelectrode array for bidirectional interaction with neuronal networks Journal Article IEEE Journal of Solid-State Circuits, 41 (7), pp. 1620-1629, 2006, ISSN: 0018-9200. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation @article{Heer2006, title = {CMOS microelectrode array for bidirectional interaction with neuronal networks}, author = {Flavio Heer and Sadik Hafizovic and Wendy Franks and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/1644873/}, doi = {10.1109/JSSC.2006.873677}, issn = {0018-9200}, year = {2006}, date = {2006-07-07}, journal = {IEEE Journal of Solid-State Circuits}, volume = {41}, number = {7}, pages = {1620-1629}, abstract = {A CMOS metal-electrode-based micro system for bidirectional communication (stimulation and recording) with neuronal cells in vitro is presented. The chip overcomes the interconnect challenge that limits today's bidirectional microelectrode arrays. The microsystem has been fabricated in an industrial CMOS technology with several post-CMOS processing steps to realize 128 biocompatible electrodes and to ensure chip stability in physiological saline. The system comprises all necessary control circuitry and on-chip A/D and D/A conversion. A modular design has been implemented, where individual stimulation- and signal-conditioning circuitry units are associated with each electrode. Stimulation signals with a resolution of 8 bits can be sent to any subset of electrodes at a rate of 60 kHz, while all electrodes of the chip are continuously sampled at a rate of 20 kHz. The circuitry at each electrode can be individually reset to its operating point in order to suppress artifacts evoked by the stimulation pulses. Biological measurements from cultured neuronal networks originating from dissociated cortical tissue of fertilized chicken eggs with amplitudes of up to 500 muVpp are presented.}, keywords = {2D Neuronal Culture, ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation}, pubstate = {published}, tppubtype = {article} } Close A CMOS metal-electrode-based micro system for bidirectional communication (stimulation and recording) with neuronal cells in vitro is presented. The chip overcomes the interconnect challenge that limits today's bidirectional microelectrode arrays. The microsystem has been fabricated in an industrial CMOS technology with several post-CMOS processing steps to realize 128 biocompatible electrodes and to ensure chip stability in physiological saline. The system comprises all necessary control circuitry and on-chip A/D and D/A conversion. A modular design has been implemented, where individual stimulation- and signal-conditioning circuitry units are associated with each electrode. Stimulation signals with a resolution of 8 bits can be sent to any subset of electrodes at a rate of 60 kHz, while all electrodes of the chip are continuously sampled at a rate of 20 kHz. The circuitry at each electrode can be individually reset to its operating point in order to suppress artifacts evoked by the stimulation pulses. Biological measurements from cultured neuronal networks originating from dissociated cortical tissue of fertilized chicken eggs with amplitudes of up to 500 muVpp are presented. Close http://ieeexplore.ieee.org/document/1644873/ doi:10.1109/JSSC.2006.873677 Close
	Linder, Vincent; Koster, Sander; Franks, Wendy; Kraus, Tobias; Verpoorte, Elisabeth; Heer, Flavio; Hierlemann, Andreas; de Rooij, Nico F Microfluidics/CMOS orthogonal capabilities for cell biology Journal Article Biomedical Microdevices, 8 (2), pp. 159-166, 2006, ISSN: 1572-8781. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Linder2006, title = {Microfluidics/CMOS orthogonal capabilities for cell biology}, author = {Vincent Linder and Sander Koster and Wendy Franks and Tobias Kraus and Elisabeth Verpoorte and Flavio Heer and Andreas Hierlemann and Nico F de Rooij}, url = {https://link.springer.com/article/10.1007%2Fs10544-006-7711-9}, doi = {10.1007/s10544-006-7711-9}, issn = {1572-8781}, year = {2006}, date = {2006-06-01}, journal = {Biomedical Microdevices}, volume = {8}, number = {2}, pages = {159-166}, abstract = {The study of individual cells and cellular networks can greatly benefit from the capabilities of microfabricated devices for the stimulation and the recording of electrical cellular events. In this contribution, we describe the development of a device, which combines capabilities for both electrical and pharmacological cell stimulation, and the subsequent recording of electrical cellular activity. The device combines the unique advantages of integrated circuitry (CMOS technology) for signal processing and microfluidics for drug delivery. Both techniques are ideally suited to study electrogenic mammalian cells, because feature sizes are of the same order as the cell diameter, ∼50 mum. Despite these attractive features, we observe a size mismatch between microfluidic devices, with bulky fluidic connections to the outside world, and highly miniaturized CMOS chips. To overcome this problem, we developed a microfluidic flow cell that accommodates a small CMOS chip. We simulated the performances of a flow cell based on a 3-D microfluidic system, and then fabricated the device to experimentally verify the nutrient delivery and localized drug delivery performance. The flow-cell has a constant nutrient flow, and six drug inlets that can individually deliver a drug to the cells. The experimental analysis of the nutrient and drug flow mass transfer properties in the flowcell are in good agreement with our simulations. For an experimental proof-of-principle, we successfully delivered, in a spatially resolved manner, a `drug' to a culture of HL-1 cardiac myocytes.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close The study of individual cells and cellular networks can greatly benefit from the capabilities of microfabricated devices for the stimulation and the recording of electrical cellular events. In this contribution, we describe the development of a device, which combines capabilities for both electrical and pharmacological cell stimulation, and the subsequent recording of electrical cellular activity. The device combines the unique advantages of integrated circuitry (CMOS technology) for signal processing and microfluidics for drug delivery. Both techniques are ideally suited to study electrogenic mammalian cells, because feature sizes are of the same order as the cell diameter, ∼50 mum. Despite these attractive features, we observe a size mismatch between microfluidic devices, with bulky fluidic connections to the outside world, and highly miniaturized CMOS chips. To overcome this problem, we developed a microfluidic flow cell that accommodates a small CMOS chip. We simulated the performances of a flow cell based on a 3-D microfluidic system, and then fabricated the device to experimentally verify the nutrient delivery and localized drug delivery performance. The flow-cell has a constant nutrient flow, and six drug inlets that can individually deliver a drug to the cells. The experimental analysis of the nutrient and drug flow mass transfer properties in the flowcell are in good agreement with our simulations. For an experimental proof-of-principle, we successfully delivered, in a spatially resolved manner, a `drug' to a culture of HL-1 cardiac myocytes. Close https://link.springer.com/article/10.1007%2Fs10544-006-7711-9 doi:10.1007/s10544-006-7711-9 Close
	Kraus, Tobias; Verpoorte, Elisabeth; Linder, Vincent; Franks, Wendy; Hierlemann, Andreas; Heer, Flavio; Hafizovic, Sadik; Fujii, Teruo; de Rooij, Nico F; Koster, Sander Characterization of a microfluidic dispensing system for localised stimulation of cellular networks Journal Article Lab Chip, 6 (2), pp. 218-229, 2006. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Koster2006, title = {Characterization of a microfluidic dispensing system for localised stimulation of cellular networks}, author = {Tobias Kraus and Elisabeth Verpoorte and Vincent Linder and Wendy Franks and Andreas Hierlemann and Flavio Heer and Sadik Hafizovic and Teruo Fujii and Nico F de Rooij and Sander Koster}, url = {http://pubs.rsc.org/en/Content/ArticleLanding/2006/LC/b511768b#!divAbstract}, doi = {10.1039/B511768B}, year = {2006}, date = {2006-01-04}, journal = {Lab Chip}, volume = {6}, number = {2}, pages = {218-229}, publisher = {The Royal Society of Chemistry}, abstract = {We present a 3-D microfluidic device designed for localized drug delivery to cellular networks. The device features a flow cell comprising a main channel for nutrient delivery as well as multiple channels for drug delivery. This device is one key component of a larger, fully integrated system now under development, based upon a microelectrode array (MEA) with on-chip CMOS circuitry for recording and stimulation of electrogenic cells (e.g. neurons, cardiomyocytes). As a critical system unit, the microfluidics must be carefully designed and characterized to ensure that candidate drugs are delivered to specific regions of the culture at known concentrations. Furthermore, microfluidic design and functionality is dictated by the size, geometry, and material/electrical characteristics of the CMOS MEA. Therefore, this paper reports on the design considerations and fabrication of the flow cell, including theoretical and experimental analysis of the mass transfer properties of the nutrient and drug flows, which are in good agreement with one another. To demonstrate proof of concept, the flow cell was mounted on a dummy CMOS chip, which had been plated with HL-1 cardiomyocytes. A test chemical compound was delivered to the cell culture in a spatially resolved manner. Envisioned applications of this stand-alone system include simultaneous toxicological testing of multiple compounds and chemical stimulation of natural neural networks for neuroscience investigations}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close We present a 3-D microfluidic device designed for localized drug delivery to cellular networks. The device features a flow cell comprising a main channel for nutrient delivery as well as multiple channels for drug delivery. This device is one key component of a larger, fully integrated system now under development, based upon a microelectrode array (MEA) with on-chip CMOS circuitry for recording and stimulation of electrogenic cells (e.g. neurons, cardiomyocytes). As a critical system unit, the microfluidics must be carefully designed and characterized to ensure that candidate drugs are delivered to specific regions of the culture at known concentrations. Furthermore, microfluidic design and functionality is dictated by the size, geometry, and material/electrical characteristics of the CMOS MEA. Therefore, this paper reports on the design considerations and fabrication of the flow cell, including theoretical and experimental analysis of the mass transfer properties of the nutrient and drug flows, which are in good agreement with one another. To demonstrate proof of concept, the flow cell was mounted on a dummy CMOS chip, which had been plated with HL-1 cardiomyocytes. A test chemical compound was delivered to the cell culture in a spatially resolved manner. Envisioned applications of this stand-alone system include simultaneous toxicological testing of multiple compounds and chemical stimulation of natural neural networks for neuroscience investigations Close http://pubs.rsc.org/en/Content/ArticleLanding/2006/LC/b511768b#!divAbstract doi:10.1039/B511768B Close
2005
	Heer, F; Hafizovic, S; Franks, W; Ugniwenko, T; Blau, A; Ziegler, C; Hierlemann, A Fully integrated 128-electrode CMOS chip for bidirectional interaction with electrogenic cells Conference The 19th European Conference on Solid-State Transducers (Eurosensors XIX) 2005. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Primary Neuronal Cell Culture, Spike Sorting, Stimulation @conference{Heer2005, title = {Fully integrated 128-electrode CMOS chip for bidirectional interaction with electrogenic cells}, author = {F. Heer and S. Hafizovic and W. Franks and T. Ugniwenko and A. Blau and C. Ziegler and A. Hierlemann}, url = {https://www.semanticscholar.org/paper/Fully-integrated-128-electrode-CMOS-chip-for-with-Heer-Hafizovic/44dfb518f4cf9ab24a860aa5f8e05c72f67e0e80#extracted}, year = {2005}, date = {2005-09-11}, organization = {The 19th European Conference on Solid-State Transducers (Eurosensors XIX)}, abstract = {A monolithic CMOS microelectrode array (MEA) for stimulation and recording of electrogenic cells is presented. The chip features addressability of an arbitrary electrode subset for stimulation, complete on-chip signal conditioning and A/D conversion. The array has been fabricated using an industrial 0.6 -μm, 5-V CMOS technology with a 2-mask post-CMOS processing. Measurements from neuronal and cardiac cells are presented.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Primary Neuronal Cell Culture, Spike Sorting, Stimulation}, pubstate = {published}, tppubtype = {conference} } Close A monolithic CMOS microelectrode array (MEA) for stimulation and recording of electrogenic cells is presented. The chip features addressability of an arbitrary electrode subset for stimulation, complete on-chip signal conditioning and A/D conversion. The array has been fabricated using an industrial 0.6 -μm, 5-V CMOS technology with a 2-mask post-CMOS processing. Measurements from neuronal and cardiac cells are presented. Close https://www.semanticscholar.org/paper/Fully-integrated-128-electrode-CMOS-chip-f[...] Close
	Franks, Wendy; Schenker, Iwan; Schmutz, Patrik; Hierlemann, Andreas Impedance characterization and modeling of electrodes for biomedical applications Journal Article IEEE Transactions on Biomedical Engineering, 52 (7), pp. 1295-1302, 2005, ISSN: 00189294. Abstract \| Links \| BibTeX \| Tags: MEA Technology @article{Franks2005, title = {Impedance characterization and modeling of electrodes for biomedical applications}, author = {Wendy Franks and Iwan Schenker and Patrik Schmutz and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/1440608/}, doi = {10.1109/TBME.2005.847523}, issn = {00189294}, year = {2005}, date = {2005-06-13}, journal = {IEEE Transactions on Biomedical Engineering}, volume = {52}, number = {7}, pages = {1295-1302}, abstract = {A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 mu m2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations.}, keywords = {MEA Technology}, pubstate = {published}, tppubtype = {article} } Close A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 mu m2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations. Close http://ieeexplore.ieee.org/document/1440608/ doi:10.1109/TBME.2005.847523 Close
2004
	Jenkner, Martin; Tartagni, Marco; Hierlemann, Andreas; Thewes, Roland Cell-based CMOS sensor and actuator arrays Journal Article IEEE Journal of Solid-State Circuits, 39 (12), pp. 2431-2437, 2004, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: MEA Technology, Review @article{Jenkner2004, title = {Cell-based CMOS sensor and actuator arrays}, author = {Martin Jenkner and Marco Tartagni and Andreas Hierlemann and Roland Thewes}, url = {http://ieeexplore.ieee.org/document/1362853/}, doi = {10.1109/JSSC.2004.837082}, issn = {00189200}, year = {2004}, date = {2004-11-30}, journal = {IEEE Journal of Solid-State Circuits}, volume = {39}, number = {12}, pages = {2431-2437}, abstract = {In recent years, increasing knowledge about in vitro cell handling and culturing has encouraged a variety of CMOS-based approaches to stimulate and detect electrical activity of biological cells. This paper outlines in a topical review the scope of cell-based biosensors and actuators for in vitro applications ranging from single-cell detection to multisite probing of complex neural tissue. Recent examples are selected to demonstrate how standard CMOS processes have been used to engineer arrays with different functionality.}, keywords = {MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close In recent years, increasing knowledge about in vitro cell handling and culturing has encouraged a variety of CMOS-based approaches to stimulate and detect electrical activity of biological cells. This paper outlines in a topical review the scope of cell-based biosensors and actuators for in vitro applications ranging from single-cell detection to multisite probing of complex neural tissue. Recent examples are selected to demonstrate how standard CMOS processes have been used to engineer arrays with different functionality. Close http://ieeexplore.ieee.org/document/1362853/ doi:10.1109/JSSC.2004.837082 Close
	Heer, Flavio; Franks, Wendy; Blau, Axel; Taschini, S; Ziegler, Christiane; Hierlemann, Andreas; Baltes, Henry CMOS microelectrode array for the monitoring of electrogenic cells Journal Article Biosensors & Bioelectronics, 20 (2), pp. 358-366, 2004, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology @article{Baltes2004, title = {CMOS microelectrode array for the monitoring of electrogenic cells}, author = {Flavio Heer and Wendy Franks and Axel Blau and S Taschini and Christiane Ziegler and Andreas Hierlemann and Henry Baltes}, url = {http://www.sciencedirect.com/science/article/pii/S0956566304000806?via%3Dihub}, doi = {10.1016/j.bios.2004.02.006}, issn = {0956-5663}, year = {2004}, date = {2004-03-19}, journal = {Biosensors & Bioelectronics}, volume = {20}, number = {2}, pages = {358-366}, abstract = {Signal degradation and an array size dictated by the number of available interconnects are the two main limitations inherent to standalone microelectrode arrays (MEAs). A new biochip consisting of an array of microelectrodes with fully-integrated analog and digital circuitry realized in an industrial CMOS process addresses these issues. The device is capable of on-chip signal filtering for improved signal-to-noise ratio (SNR), on-chip analog and digital conversion, and multiplexing, thereby facilitating simultaneous stimulation and recording of electrogenic cell activity. The designed electrode pitch of 250 mu m significantly limits the space available for circuitry: a repeated unit of circuitry associated with each electrode comprises a stimulation buffer and a bandpass filter for readout. The bandpass filter has corner frequencies of 100 Hz and 50 kHz, and a gain of 1000. Stimulation voltages are generated from an 8-bit digital signal and converted to an analog signal at a frequency of 120 kHz. Functionality of the read-out circuitry is demonstrated by the measurement of cardiomyocyte activity. The microelectrode is realized in a shifted design for flexibility and biocompatibility. Several microelectrode materials (platinum, platinum black and titanium nitride) have been electrically characterized. An equivalent circuit model, where each parameter represents a macroscopic physical quantity contributing to the interface impedance, has been successfully fitted to experimental results.}, keywords = {ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close Signal degradation and an array size dictated by the number of available interconnects are the two main limitations inherent to standalone microelectrode arrays (MEAs). A new biochip consisting of an array of microelectrodes with fully-integrated analog and digital circuitry realized in an industrial CMOS process addresses these issues. The device is capable of on-chip signal filtering for improved signal-to-noise ratio (SNR), on-chip analog and digital conversion, and multiplexing, thereby facilitating simultaneous stimulation and recording of electrogenic cell activity. The designed electrode pitch of 250 mu m significantly limits the space available for circuitry: a repeated unit of circuitry associated with each electrode comprises a stimulation buffer and a bandpass filter for readout. The bandpass filter has corner frequencies of 100 Hz and 50 kHz, and a gain of 1000. Stimulation voltages are generated from an 8-bit digital signal and converted to an analog signal at a frequency of 120 kHz. Functionality of the read-out circuitry is demonstrated by the measurement of cardiomyocyte activity. The microelectrode is realized in a shifted design for flexibility and biocompatibility. Several microelectrode materials (platinum, platinum black and titanium nitride) have been electrically characterized. An equivalent circuit model, where each parameter represents a macroscopic physical quantity contributing to the interface impedance, has been successfully fitted to experimental results. Close http://www.sciencedirect.com/science/article/pii/S0956566304000806?via%3Dihub doi:10.1016/j.bios.2004.02.006 Close
2003
	Franks, W; Heer, F; I., McKay; Taschini, S; Sunier, R; Hagleitner, C; Hierlemann, A; Baltes, H CMOS monolithic microelectrode array for stimulation and recording of natural neural networks Conference IEEE International Solid-State Sensors and Actuators Conference 2003. Abstract \| Links \| BibTeX \| Tags: Action Potential, ETH-CMOS-MEA, MEA Technology, Stimulation @conference{Franks2003, title = {CMOS monolithic microelectrode array for stimulation and recording of natural neural networks}, author = {W. Franks and F. Heer and McKay I. and S. Taschini and R. Sunier and C. Hagleitner and A. Hierlemann and H. Baltes}, url = {http://ieeexplore.ieee.org/document/1216927/}, doi = {10.1109/SENSOR.2003.1216927}, year = {2003}, date = {2003-06-08}, organization = {IEEE International Solid-State Sensors and Actuators Conference}, abstract = {An array of platinum electrodes has been integrated with analog and digital circuitry in standard CMOS technology for stimulation and recording of natural neural networks. The array utilizes a shifted electrode design that has been electrically characterized and modeled. The electrode and its circuitry form a repeatable unit, which can be multiplied to achieve a larger array. Each circuitry unit contains a buffer for stimulation and a bandpass filter for readout. In contrast tn traditional electrode arrays used for measuring action potentials [I-61, this device is capable of on-chip signal filtering, improving the signal to noise ratio (SNR), on-chip analog to digital conversion (preventing further signal degradation), and simultaneous recording and stimulation.}, keywords = {Action Potential, ETH-CMOS-MEA, MEA Technology, Stimulation}, pubstate = {published}, tppubtype = {conference} } Close An array of platinum electrodes has been integrated with analog and digital circuitry in standard CMOS technology for stimulation and recording of natural neural networks. The array utilizes a shifted electrode design that has been electrically characterized and modeled. The electrode and its circuitry form a repeatable unit, which can be multiplied to achieve a larger array. Each circuitry unit contains a buffer for stimulation and a bandpass filter for readout. In contrast tn traditional electrode arrays used for measuring action potentials [I-61, this device is capable of on-chip signal filtering, improving the signal to noise ratio (SNR), on-chip analog to digital conversion (preventing further signal degradation), and simultaneous recording and stimulation. Close http://ieeexplore.ieee.org/document/1216927/ doi:10.1109/SENSOR.2003.1216927 Close

235 entries « ‹ 5 of 5 › »

Selected Publications

High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels

Presenting measurements of neuronal preparations with a novel CMOS-based microelectrode array at high-spatiotemporal-resolution on subcellular, cellular, and network level.

J. Müller, M. Ballini, P. Livi, Y. Chen, M. Radivojevic, A. Shadmani, V. Viswam, I. L. Jones, M. Fiscella, R. Diggelmann, A. Stettler, U. Frey, D. J. Bakkum, and A. Hierlemann, “High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels,” Lab Chip, vol. 15, no. 13, pp. 2767–2780, May 2015.

Revealing Neuronal Function through Microelectrode Array Recordings

Reviewing the current understanding of microelectrode signals and the techniques for analyzing them, with focus on the ongoing advancements in microelectrode technology (in vivo and in vitro) and recent advanced microelectrode array measurement methods that facilitate the understanding of single neurons and network function.

M. E. J. Obien, K. Deligkaris, T. Bullmann, D. J. Bakkum, and U. Frey, “Revealing Neuronal Function through Microelectrode Array Recordings,” Front. Neurosci., 8:423, Jan 2015.

A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro

A high-resolution CMOS-based microelectrode array featuring 1,024 low-noise readout channels, 26,400 electrodes at a density of 3,265 electrodes per mm², including on-chip 10bit ADCs and consuming only 75 mW.

M. Ballini, J. Muller, P. Livi, Y. Chen, U. Frey, A. Stettler, A. Shadmani, V. Viswam, I. L. Jones, D. Jackel, M. Radivojevic, M. K. Lewandowska, W. Gong, M. Fiscella, D. J. Bakkum, F. Heer, and A. Hierlemann, “A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro,” IEEE Journal of Solid-State Circuits, vol. 49, no. 11, pp. 2705-2719, 2014.

Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites

Demonstrating a method to electrically visualize action potential propagation on axons and revealing
large variations in velocity.

D. J. Bakkum, U. Frey, M. Radivojevic, T. L. Russell, J. Muller, M. Fiscella, H. Takahashi, and A. Hierlemann, “Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites,” Nature Communications, 4:2181, Jul 2013.

Microelectronic System for High-Resolution Mapping of Extracellular Electric Fields Applied to Brain Slices

Recording and modeling extracellular action potentials of Purkinje cells at subcellular resolution.

U. Frey, U. Egert, F. Heer, S. Hafizovic, and A. Hierlemann, “Microelectronic System for High-Resolution Mapping of Extracellular Electric Fields Applied to Brain Slices,” Biosensors and Bioelectronics, vol. 24, no. 7, pp. 2191-2198, 2009.

Modulation of Cardiomyocyte Electrical Properties Using Regulated Bone Morphogenetic Protein-2 Expression

Controlling BMP-2 expression to modulate the electrophysiological properties of cardiomyocytes using an HD-MEA for detailed monitoring.

C. D. Sanchez-Bustamante, U. Frey, J. M. Kelm, A. Hierlemann, and M. Fussenegger,
“Modulation of Cardiomyocyte Electrical Properties Using Regulated Bone Morphogenetic Protein-2 Expression,” Tissue Engineering Part A, vol. 14, no. 12, pp. 1969-1988, 2008.

2015
	Fiscella, Michele; Franke, Felix; Farrow, Karl; Müller, Jan; Roska, Botond; Azeredo da Silveira, Rava ; Hierlemann, Andreas Visual coding with a population of direction-selective neurons Journal Article Journal of Neurophysiology, 114 (4), pp. 2485-2499, 2015, ISSN: 0022-3077. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA, Retina @article{Fiscella2015, title = {Visual coding with a population of direction-selective neurons}, author = {Michele Fiscella and Felix Franke and Karl Farrow and Jan Müller and Botond Roska and Rava {Azeredo da Silveira} and Andreas Hierlemann}, url = {http://jn.physiology.org/lookup/doi/10.1152/jn.00919.2014}, doi = {10.1152/jn.00919.2014}, issn = {0022-3077}, year = {2015}, date = {2015-08-19}, journal = {Journal of Neurophysiology}, volume = {114}, number = {4}, pages = {2485-2499}, abstract = {The brain decodes the visual scene from the action potentials of ∼20 retinal ganglion cell types. Among the retinal ganglion cells, direction-selective ganglion cells (DSGCs) encode motion direction. Several studies have focused on the encoding or decoding of motion direction by recording multiunit activity, mainly in the visual cortex. In this study, we simultaneously recorded from all four types of ON-OFF DSGCs of the rabbit retina using a microelectronics-based high-density microelectrode array (HDMEA) and decoded their concerted activity using probabilistic and linear decoders. Furthermore, we investigated how the modification of stimulus parameters (velocity, size, angle of moving object) and the use of different tuning curve fits influenced decoding precision. Finally, we simulated ON-OFF DSGC activity, based on real data, in order to understand how tuning curve widths and the angular distribution of the cells' preferred directions influence decoding performance. We found that probabilistic decoding strategies outperformed, on average, linear methods and that decoding precision was robust to changes in stimulus parameters such as velocity. The removal of noise correlations among cells, by random shuffling trials, caused a drop in decoding precision. Moreover, we found that tuning curves are broad in order to minimize large errors at the expense of a higher average error, and that the retinal direction-selective system would not substantially benefit, on average, from having more than four types of ON-OFF DSGCs or from a perfect alignment of the cells' preferred directions.}, keywords = {Data Analysis, ETH-CMOS-MEA, Retina}, pubstate = {published}, tppubtype = {article} } Close The brain decodes the visual scene from the action potentials of ∼20 retinal ganglion cell types. Among the retinal ganglion cells, direction-selective ganglion cells (DSGCs) encode motion direction. Several studies have focused on the encoding or decoding of motion direction by recording multiunit activity, mainly in the visual cortex. In this study, we simultaneously recorded from all four types of ON-OFF DSGCs of the rabbit retina using a microelectronics-based high-density microelectrode array (HDMEA) and decoded their concerted activity using probabilistic and linear decoders. Furthermore, we investigated how the modification of stimulus parameters (velocity, size, angle of moving object) and the use of different tuning curve fits influenced decoding precision. Finally, we simulated ON-OFF DSGC activity, based on real data, in order to understand how tuning curve widths and the angular distribution of the cells' preferred directions influence decoding performance. We found that probabilistic decoding strategies outperformed, on average, linear methods and that decoding precision was robust to changes in stimulus parameters such as velocity. The removal of noise correlations among cells, by random shuffling trials, caused a drop in decoding precision. Moreover, we found that tuning curves are broad in order to minimize large errors at the expense of a higher average error, and that the retinal direction-selective system would not substantially benefit, on average, from having more than four types of ON-OFF DSGCs or from a perfect alignment of the cells' preferred directions. Close http://jn.physiology.org/lookup/doi/10.1152/jn.00919.2014 doi:10.1152/jn.00919.2014 Close
	Müller, Jan; Ballini, Marco; Livi, Paolo; Chen, Yihui; Radivojevic, Milos; Shadmani, Amir; Viswam, Vijay; Jones, Ian L; Fiscella, Michele; Diggelmann, Roland; Stettler, Alexander; Frey, Urs; Bakkum, Douglas J; Hierlemann, Andreas High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels Journal Article Lab Chip, 15 (13), pp. 2767-2780, 2015, ISSN: 1473-0197. Abstract \| Links \| BibTeX \| Tags: MaxOne, Neuronal Networks @article{Muller2015, title = {High-resolution CMOS MEA platform to study neurons at subcellular, cellular, and network levels}, author = {Jan Müller and Marco Ballini and Paolo Livi and Yihui Chen and Milos Radivojevic and Amir Shadmani and Vijay Viswam and Ian L Jones and Michele Fiscella and Roland Diggelmann and Alexander Stettler and Urs Frey and Douglas J Bakkum and Andreas Hierlemann}, url = {http://pubs.rsc.org/en/Content/ArticleLanding/2015/LC/C5LC00133A#!divAbstract}, doi = {10.1039/C5LC00133A}, issn = {1473-0197}, year = {2015}, date = {2015-07-07}, journal = {Lab Chip}, volume = {15}, number = {13}, pages = {2767-2780}, publisher = {Royal Society of Chemistry}, abstract = {Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 um) within a large overall sensing area (3.85 × 2.10 mm2). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons.}, keywords = {MaxOne, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Studies on information processing and learning properties of neuronal networks would benefit from simultaneous and parallel access to the activity of a large fraction of all neurons in such networks. Here, we present a CMOS-based device, capable of simultaneously recording the electrical activity of over a thousand cells in in vitro neuronal networks. The device provides sufficiently high spatiotemporal resolution to enable, at the same time, access to neuronal preparations on subcellular, cellular, and network level. The key feature is a rapidly reconfigurable array of 26 400 microelectrodes arranged at low pitch (17.5 um) within a large overall sensing area (3.85 × 2.10 mm2). An arbitrary subset of the electrodes can be simultaneously connected to 1024 low-noise readout channels as well as 32 stimulation units. Each electrode or electrode subset can be used to electrically stimulate or record the signals of virtually any neuron on the array. We demonstrate the applicability and potential of this device for various different experimental paradigms: large-scale recordings from whole networks of neurons as well as investigations of axonal properties of individual neurons. Close http://pubs.rsc.org/en/Content/ArticleLanding/2015/LC/C5LC00133A#!divAbstract doi:10.1039/C5LC00133A Close
	Krol, Jacek; Krol, Ilona; Alvarez, Claudia Patricia Patino; Fiscella, Michele; Hierlemann, Andreas; Roska, Botond; Filipowicz, Witold A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture. Journal Article Nature Communications, 6 , pp. 7305, 2015, ISSN: 2041-1723. Abstract \| Links \| BibTeX \| Tags: MaxOne, Retina @article{Krol2015, title = {A network comprising short and long noncoding RNAs and RNA helicase controls mouse retina architecture.}, author = {Jacek Krol and Ilona Krol and Claudia Patricia Patino Alvarez and Michele Fiscella and Andreas Hierlemann and Botond Roska and Witold Filipowicz}, url = {https://www.nature.com/articles/ncomms8305}, doi = {10.1038/ncomms8305}, issn = {2041-1723}, year = {2015}, date = {2015-06-04}, journal = {Nature Communications}, volume = {6}, pages = {7305}, publisher = {Nature Publishing Group}, abstract = {Brain regions, such as the cortex and retina, are composed of layers of uniform thickness. The molecular mechanism that controls this uniformity is not well understood. Here we show that during mouse postnatal development the timed expression of Rncr4, a retina-specific long noncoding RNA, regulates the similarly timed processing of pri-miR-183/96/182, which is repressed at an earlier developmental stage by RNA helicase Ddx3x. Shifting the timing of mature miR-183/96/182 accumulation or interfering with Ddx3x expression leads to the disorganization of retinal architecture, with the photoreceptor layer being most affected. We identify Crb1, a component of the adhesion belt between glial and photoreceptor cells, as a link between Rncr4-regulated miRNA metabolism and uniform retina layering. Our results suggest that the precise timing of glia-neuron interaction controlled by noncoding RNAs and Ddx3x is important for the even distribution of cells across layers.}, keywords = {MaxOne, Retina}, pubstate = {published}, tppubtype = {article} } Close Brain regions, such as the cortex and retina, are composed of layers of uniform thickness. The molecular mechanism that controls this uniformity is not well understood. Here we show that during mouse postnatal development the timed expression of Rncr4, a retina-specific long noncoding RNA, regulates the similarly timed processing of pri-miR-183/96/182, which is repressed at an earlier developmental stage by RNA helicase Ddx3x. Shifting the timing of mature miR-183/96/182 accumulation or interfering with Ddx3x expression leads to the disorganization of retinal architecture, with the photoreceptor layer being most affected. We identify Crb1, a component of the adhesion belt between glial and photoreceptor cells, as a link between Rncr4-regulated miRNA metabolism and uniform retina layering. Our results suggest that the precise timing of glia-neuron interaction controlled by noncoding RNAs and Ddx3x is important for the even distribution of cells across layers. Close https://www.nature.com/articles/ncomms8305 doi:10.1038/ncomms8305 Close
	Okawa, Satoru; Mita, Takeshi; Bakkum, Douglas J; Frey, Urs; Hierlemann, Andreas; Kanzaki, Ryohei; Takahashi, Hirokazu Chronic Co-Variation of Neural Network Configuration and Activity in Mature Dissociated Cultures Journal Article Electronics and Communications in Japan, 98 (5), pp. 34-42, 2015, ISSN: 1942-9541. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Takahashi2015, title = {Chronic Co-Variation of Neural Network Configuration and Activity in Mature Dissociated Cultures}, author = {Satoru Okawa and Takeshi Mita and Douglas J Bakkum and Urs Frey and Andreas Hierlemann and Ryohei Kanzaki and Hirokazu Takahashi}, url = {http://onlinelibrary.wiley.com/doi/10.1002/ecj.11736/abstract;jsessionid=791557FA80CF36B1F78DC538C1618924.f03t02}, doi = {10.1002/ecj.11736}, issn = {1942-9541}, year = {2015}, date = {2015-04-08}, journal = {Electronics and Communications in Japan}, volume = {98}, number = {5}, pages = {34-42}, abstract = {Spatiotemporal neural patterns depend on the physical structure of neural circuits. Neural plasticity can thus be associated with changes in the circuit structure. For example, newborn neurons migrate toward existing, already matured, neural networks in order to participate in neural computation. In the present study, we have conducted two experiments to investigate how neural migration is associated with the development of neural activity in primary dissociated cultures of neuronal cells. In Experiment 1, using a mature culture, a high-density CMOS microelectrode array was used to continuously monitor neural migration and activity for more than two weeks. Consequently, we found that even in mature neuronal cultures neurons moved 2.0 ± 1.0 mum a day and that the moving distance was negatively correlated with their firing rate, suggesting that neurons featuring low firing rates tend to migrate actively. In Experiment 2 using a co-culture of mature and immature neurons, we found that immature neurons moved more actively than matured neurons to achieve functional connections to other neurons. These findings suggest that neurons with low firing rates as well as newborn neurons actively migrate in order to establish their connections and function in a neuronal network.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Spatiotemporal neural patterns depend on the physical structure of neural circuits. Neural plasticity can thus be associated with changes in the circuit structure. For example, newborn neurons migrate toward existing, already matured, neural networks in order to participate in neural computation. In the present study, we have conducted two experiments to investigate how neural migration is associated with the development of neural activity in primary dissociated cultures of neuronal cells. In Experiment 1, using a mature culture, a high-density CMOS microelectrode array was used to continuously monitor neural migration and activity for more than two weeks. Consequently, we found that even in mature neuronal cultures neurons moved 2.0 ± 1.0 mum a day and that the moving distance was negatively correlated with their firing rate, suggesting that neurons featuring low firing rates tend to migrate actively. In Experiment 2 using a co-culture of mature and immature neurons, we found that immature neurons moved more actively than matured neurons to achieve functional connections to other neurons. These findings suggest that neurons with low firing rates as well as newborn neurons actively migrate in order to establish their connections and function in a neuronal network. Close http://onlinelibrary.wiley.com/doi/10.1002/ecj.11736/abstract;jsessionid=791557F[...] doi:10.1002/ecj.11736 Close
	Lewandowska, Marta K; Bakkum, Douglas J; Rompani, Santiago B; Hierlemann, Andreas Recording large extracellular spikes in microchannels along many axonal sites from individual neurons Journal Article PLoS ONE, 10 (3), pp. 1-24, 2015, ISSN: 19326203. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Lewandowska2015, title = {Recording large extracellular spikes in microchannels along many axonal sites from individual neurons}, author = {Marta K Lewandowska and Douglas J Bakkum and Santiago B Rompani and Andreas Hierlemann}, url = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118514}, doi = {10.1371/journal.pone.0118514}, issn = {19326203}, year = {2015}, date = {2015-03-03}, journal = {PLoS ONE}, volume = {10}, number = {3}, pages = {1-24}, abstract = {The numerous connections between neuronal cell bodies, made by their dendrites and axons, are vital for information processing in the brain. While dendrites and synapses have been extensively studied, axons have remained elusive to a large extent. We present a novel platform to study axonal physiology and information processing based on combining an 11,011-electrode high-density complementary metal-oxide semiconductor microelectrode array with a poly(dimethylsiloxane) channel device, which isolates axons from somas and, importantly, significantly amplifies recorded axonal signals. The combination of the microelectrode array with recording and stimulation capability with the microfluidic isolation channels permitted us to study axonal signal behavior at great detail. The device, featuring two culture chambers with over 30 channels spanning in between, enabled long-term recording of single spikes from isolated axons with signal amplitudes of 100 uV up to 2 mV. Propagating signals along axons could be recorded with 10 to 50 electrodes per channel. We (i) describe the performance and capabilities of our device for axonal electrophysiology, and (ii) present novel data on axonal signals facilitated by the device. Spontaneous action potentials with characteristic shapes propagated from somas along axons between the two compartments, and these unique shapes could be used to identify individual axons within channels that contained many axonal branches. Stimulation through the electrode array facilitated the identification of somas and their respective axons, enabling interfacing with different compartments of a single cell. Complex spike shapes observed in channels were traced back to single cells, and we show that more complicated spike shapes originate from a linear superposition of multiple axonal signals rather than signal distortion by the channels.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close The numerous connections between neuronal cell bodies, made by their dendrites and axons, are vital for information processing in the brain. While dendrites and synapses have been extensively studied, axons have remained elusive to a large extent. We present a novel platform to study axonal physiology and information processing based on combining an 11,011-electrode high-density complementary metal-oxide semiconductor microelectrode array with a poly(dimethylsiloxane) channel device, which isolates axons from somas and, importantly, significantly amplifies recorded axonal signals. The combination of the microelectrode array with recording and stimulation capability with the microfluidic isolation channels permitted us to study axonal signal behavior at great detail. The device, featuring two culture chambers with over 30 channels spanning in between, enabled long-term recording of single spikes from isolated axons with signal amplitudes of 100 uV up to 2 mV. Propagating signals along axons could be recorded with 10 to 50 electrodes per channel. We (i) describe the performance and capabilities of our device for axonal electrophysiology, and (ii) present novel data on axonal signals facilitated by the device. Spontaneous action potentials with characteristic shapes propagated from somas along axons between the two compartments, and these unique shapes could be used to identify individual axons within channels that contained many axonal branches. Stimulation through the electrode array facilitated the identification of somas and their respective axons, enabling interfacing with different compartments of a single cell. Complex spike shapes observed in channels were traced back to single cells, and we show that more complicated spike shapes originate from a linear superposition of multiple axonal signals rather than signal distortion by the channels. Close http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0118514 doi:10.1371/journal.pone.0118514 Close
	Dragas, Jelena; Jäckel, David; Hierlemann, Andreas; Franke, Felix Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm Journal Article IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23 (2), pp. 149–158, 2015, ISSN: 15344320. Abstract \| Links \| BibTeX \| Tags: Spike Sorting @article{Dragas2015, title = {Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm}, author = {Jelena Dragas and David Jäckel and Andreas Hierlemann and Felix Franke}, url = {http://ieeexplore.ieee.org/document/6955847/}, doi = {10.1109/TNSRE.2014.2370510}, issn = {15344320}, year = {2015}, date = {2015-03-01}, journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering}, volume = {23}, number = {2}, pages = {149--158}, abstract = {Reliable real-time low-latency spike sorting with large data throughput is essential for studies of neural network dynamics and for brain-machine interfaces (BMIs), in which the stimulation of neural networks is based on the networks' most recent activity. However, the majority of existing multi-electrode spike-sorting algorithms are unsuited for processing high quantities of simultaneously recorded data. Recording from large neuronal networks using large high-density electrode sets (thousands of electrodes) imposes high demands on the data-processing hardware regarding computational complexity and data transmission bandwidth; this, in turn, entails demanding requirements in terms of chip area, memory resources and processing latency. This paper presents computational complexity optimisation techniques, which facilitate the use of spike-sorting algorithms in large multi-electrode-based recording systems. The techniques are then applied to a previously published algorithm, on its own, unsuited for large electrode set recordings. Further, a real-time low-latency high-performance VLSI hardware architecture of the modified algorithm is presented, featuring a folded structure capable of processing the activity of hundreds of neurons simultaneously. The hardware is reconfigurable “on-the-fly” and adaptable to the non-stationarities of neuronal recordings. By transmitting exclusively spike time stamps and/or spike waveforms, its real-time processing offers the possibility of data bandwidth and data storage reduction.}, keywords = {Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Reliable real-time low-latency spike sorting with large data throughput is essential for studies of neural network dynamics and for brain-machine interfaces (BMIs), in which the stimulation of neural networks is based on the networks' most recent activity. However, the majority of existing multi-electrode spike-sorting algorithms are unsuited for processing high quantities of simultaneously recorded data. Recording from large neuronal networks using large high-density electrode sets (thousands of electrodes) imposes high demands on the data-processing hardware regarding computational complexity and data transmission bandwidth; this, in turn, entails demanding requirements in terms of chip area, memory resources and processing latency. This paper presents computational complexity optimisation techniques, which facilitate the use of spike-sorting algorithms in large multi-electrode-based recording systems. The techniques are then applied to a previously published algorithm, on its own, unsuited for large electrode set recordings. Further, a real-time low-latency high-performance VLSI hardware architecture of the modified algorithm is presented, featuring a folded structure capable of processing the activity of hundreds of neurons simultaneously. The hardware is reconfigurable “on-the-fly” and adaptable to the non-stationarities of neuronal recordings. By transmitting exclusively spike time stamps and/or spike waveforms, its real-time processing offers the possibility of data bandwidth and data storage reduction. Close http://ieeexplore.ieee.org/document/6955847/ doi:10.1109/TNSRE.2014.2370510 Close
	Obien, Marie Engelene J; Deligkaris, Kosmas; Bullmann, Torsten; Bakkum, Douglas J; Frey, Urs Revealing neuronal function through microelectrode array recordings Journal Article Frontiers in Neuroscience, 9 , pp. 423, 2015, ISSN: 1662453X. Abstract \| Links \| BibTeX \| Tags: MEA Technology, Review @article{Obien2015, title = {Revealing neuronal function through microelectrode array recordings}, author = {Marie Engelene J Obien and Kosmas Deligkaris and Torsten Bullmann and Douglas J Bakkum and Urs Frey}, url = {https://www.frontiersin.org/articles/10.3389/fnins.2014.00423/full}, doi = {10.3389/fnins.2014.00423}, issn = {1662453X}, year = {2015}, date = {2015-01-06}, journal = {Frontiers in Neuroscience}, volume = {9}, pages = {423}, abstract = {Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function.}, keywords = {MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close Microelectrode arrays and microprobes have been widely utilized to measure neuronal activity, both in vitro and in vivo. The key advantage is the capability to record and stimulate neurons at multiple sites simultaneously. However, unlike the single-cell or single-channel resolution of intracellular recording, microelectrodes detect signals from all possible sources around every sensor. Here, we review the current understanding of microelectrode signals and the techniques for analyzing them. We introduce the ongoing advancements in microelectrode technology, with focus on achieving higher resolution and quality of recordings by means of monolithic integration with on-chip circuitry. We show how recent advanced microelectrode array measurement methods facilitate the understanding of single neurons as well as network function. Close https://www.frontiersin.org/articles/10.3389/fnins.2014.00423/full doi:10.3389/fnins.2014.00423 Close
2014
	Ballini, Marco; Müller, Jan; Livi, Paolo; Chen, Yihui; Frey, Urs; Stettler, Alexander; Shadmani, Amir; Viswam, Vijay; Jones, Ian L; Jäckel, David; Radivojevic, Milos; Lewandowska, Marta K; Gong, Wei; Fiscella, Michele; Bakkum, Douglas J; Heer, Flavio; Hierlemann, Andreas A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro Journal Article IEEE Journal of Solid-State Circuits, 49 (11), pp. 2705-2719, 2014, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: MaxOne, MEA Technology @article{Ballini2014, title = {A 1024-channel CMOS microelectrode array with 26,400 electrodes for recording and stimulation of electrogenic cells in vitro}, author = {Marco Ballini and Jan Müller and Paolo Livi and Yihui Chen and Urs Frey and Alexander Stettler and Amir Shadmani and Vijay Viswam and Ian L Jones and David Jäckel and Milos Radivojevic and Marta K Lewandowska and Wei Gong and Michele Fiscella and Douglas J Bakkum and Flavio Heer and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/6923484/}, doi = {10.1109/JSSC.2014.2359219}, issn = {00189200}, year = {2014}, date = {2014-10-14}, journal = {IEEE Journal of Solid-State Circuits}, volume = {49}, number = {11}, pages = {2705-2719}, abstract = {To advance our understanding of the functioning of neuronal ensembles, systems are needed to enable simultaneous recording from a large number of individual neurons at high spa-tiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, for example, plasticity and learning processes. Here, we present a microelectrode array (MEA) system on a single CMOS die for in vitro recording and stimulation. The system incorporates 26,400 platinum electrodes, fabricated by in-house post-processing, over a large sensing area (3.85 2.10 mm) with sub-cellular spatial resolution (pitch of 17.5 µm). Owing to an area and power efficient implementation, we were able to integrate 1024 readout channels on chip to record extracellular signals from a user-specified selection of electrodes. These channels feature noise values of 2.4 µV in the action-potential band (300 Hz–10 kHz) and 5.4 µV in the local-field-potential band (1 Hz–300 Hz), and provide programmable gain (up to 78 dB) to accommodate various biological preparations. Amplified and filtered signals are digitized by 10 bit parallel single-slope ADCs at 20 kSamples/s. The system also includes 32 stimulation units, which can elicit neural spikes through either current or voltage pulses. The chip consumes only 75 mW in total, which obviates the need of active cooling even for sensitive cell cultures.}, keywords = {MaxOne, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close To advance our understanding of the functioning of neuronal ensembles, systems are needed to enable simultaneous recording from a large number of individual neurons at high spa-tiotemporal resolution and good signal-to-noise ratio. Moreover, stimulation capability is highly desirable for investigating, for example, plasticity and learning processes. Here, we present a microelectrode array (MEA) system on a single CMOS die for in vitro recording and stimulation. The system incorporates 26,400 platinum electrodes, fabricated by in-house post-processing, over a large sensing area (3.85 2.10 mm) with sub-cellular spatial resolution (pitch of 17.5 µm). Owing to an area and power efficient implementation, we were able to integrate 1024 readout channels on chip to record extracellular signals from a user-specified selection of electrodes. These channels feature noise values of 2.4 µV in the action-potential band (300 Hz–10 kHz) and 5.4 µV in the local-field-potential band (1 Hz–300 Hz), and provide programmable gain (up to 78 dB) to accommodate various biological preparations. Amplified and filtered signals are digitized by 10 bit parallel single-slope ADCs at 20 kSamples/s. The system also includes 32 stimulation units, which can elicit neural spikes through either current or voltage pulses. The chip consumes only 75 mW in total, which obviates the need of active cooling even for sensitive cell cultures. Close http://ieeexplore.ieee.org/document/6923484/ doi:10.1109/JSSC.2014.2359219 Close
	Bakkum, Douglas J; Radivojevic, Milos; Frey, Urs; Franke, Felix; Hierlemann, Andreas; Takahashi, Hirokazu Parameters for burst detection Journal Article Frontiers in Computational Neuroscience, 7 , pp. 1-12, 2014, ISSN: 1662-5188. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA @article{Bakkum2014, title = {Parameters for burst detection}, author = {Douglas J Bakkum and Milos Radivojevic and Urs Frey and Felix Franke and Andreas Hierlemann and Hirokazu Takahashi}, url = {http://journal.frontiersin.org/article/10.3389/fncom.2013.00193/abstract}, doi = {10.3389/fncom.2013.00193}, issn = {1662-5188}, year = {2014}, date = {2014-01-13}, journal = {Frontiers in Computational Neuroscience}, volume = {7}, pages = {1-12}, abstract = {Bursts of action potentials within neurons and throughout networks are believed to serve roles in how neurons handle and store information, both in vivo and in vitro. Accurate detection of burst occurrences and durations are therefore crucial for many studies. A number of algorithms have been proposed to do so, but a standard method has not been adopted. This is due, in part, to many algorithms requiring the adjustment of multiple ad-hoc parameters and further post-hoc criteria in order to produce satisfactory results. Here, we broadly catalog existing approaches and present a new approach requiring the selection of only a single parameter: the number of spikes N comprising the smallest burst to consider. A burst was identified if N spikes occurred in less than T ms, where the threshold T was automatically determined from observing a probability distribution of inter-spike-intervals. Performance was compared vs. different classes of detectors on data gathered from in vitro neuronal networks grown over microelectrode arrays. Our approach offered a number of useful features including: a simple implementation, no need for ad-hoc or post-hoc criteria, and precise assignment of burst boundary time points. Unlike existing approaches, detection was not biased toward larger bursts, allowing identification and analysis of a greater range of neuronal and network dynamics.}, keywords = {Data Analysis, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Bursts of action potentials within neurons and throughout networks are believed to serve roles in how neurons handle and store information, both in vivo and in vitro. Accurate detection of burst occurrences and durations are therefore crucial for many studies. A number of algorithms have been proposed to do so, but a standard method has not been adopted. This is due, in part, to many algorithms requiring the adjustment of multiple ad-hoc parameters and further post-hoc criteria in order to produce satisfactory results. Here, we broadly catalog existing approaches and present a new approach requiring the selection of only a single parameter: the number of spikes N comprising the smallest burst to consider. A burst was identified if N spikes occurred in less than T ms, where the threshold T was automatically determined from observing a probability distribution of inter-spike-intervals. Performance was compared vs. different classes of detectors on data gathered from in vitro neuronal networks grown over microelectrode arrays. Our approach offered a number of useful features including: a simple implementation, no need for ad-hoc or post-hoc criteria, and precise assignment of burst boundary time points. Unlike existing approaches, detection was not biased toward larger bursts, allowing identification and analysis of a greater range of neuronal and network dynamics. Close http://journal.frontiersin.org/article/10.3389/fncom.2013.00193/abstract doi:10.3389/fncom.2013.00193 Close
2013
	Bakkum, Douglas J; Frey, Urs; Radivojevic, Milos; Russell, Thomas L; Müller, Jan; Fiscella, Michele; Takahashi, Hirokazu; Hierlemann, Andreas Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites Journal Article Nature Communications, 4 , pp. 1-12, 2013, ISSN: 2041-1723. Abstract \| Links \| BibTeX \| Tags: Data Analysis, ETH-CMOS-MEA, Neuronal Networks @article{Bakkum2013, title = {Tracking axonal action potential propagation on a high-density microelectrode array across hundreds of sites}, author = {Douglas J Bakkum and Urs Frey and Milos Radivojevic and Thomas L Russell and Jan Müller and Michele Fiscella and Hirokazu Takahashi and Andreas Hierlemann}, url = {http://www.nature.com/doifinder/10.1038/ncomms3181}, doi = {10.1038/ncomms3181}, issn = {2041-1723}, year = {2013}, date = {2013-07-19}, journal = {Nature Communications}, volume = {4}, pages = {1-12}, abstract = {Axons are traditionally considered stable transmission cables, but evidence of the regulation of action potential propagation demonstrates that axons may have more important roles. However, their small diameters render intracellular recordings challenging, and low-magnitude extracellular signals are difficult to detect and assign. Better experimental access to axonal function would help to advance this field. Here we report methods to electrically visualize action potential propagation and network topology in cortical neurons grown over custom arrays, which contain 11,011 microelectrodes and are fabricated using complementary metal oxide semiconductor technology. Any neuron lying on the array can be recorded at high spatio-temporal resolution, and simultaneously precisely stimulated with little artifact. We find substantial velocity differences occurring locally within single axons, suggesting that the temporal control of a neuron's output may contribute to neuronal information processing.}, keywords = {Data Analysis, ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close Axons are traditionally considered stable transmission cables, but evidence of the regulation of action potential propagation demonstrates that axons may have more important roles. However, their small diameters render intracellular recordings challenging, and low-magnitude extracellular signals are difficult to detect and assign. Better experimental access to axonal function would help to advance this field. Here we report methods to electrically visualize action potential propagation and network topology in cortical neurons grown over custom arrays, which contain 11,011 microelectrodes and are fabricated using complementary metal oxide semiconductor technology. Any neuron lying on the array can be recorded at high spatio-temporal resolution, and simultaneously precisely stimulated with little artifact. We find substantial velocity differences occurring locally within single axons, suggesting that the temporal control of a neuron's output may contribute to neuronal information processing. Close http://www.nature.com/doifinder/10.1038/ncomms3181 doi:10.1038/ncomms3181 Close
	Müller, Jan; Bakkum, Douglas J; Hierlemann, Andreas Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons. Journal Article Frontiers in Neural Circuits, 6 , pp. 121, 2013, ISSN: 1662-5110. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation @article{Muller2012, title = {Sub-millisecond closed-loop feedback stimulation between arbitrary sets of individual neurons.}, author = {Jan Müller and Douglas J Bakkum and Andreas Hierlemann}, url = {https://www.frontiersin.org/articles/10.3389/fncir.2012.00121/full}, doi = {10.3389/fncir.2012.00121}, issn = {1662-5110}, year = {2013}, date = {2013-01-10}, journal = {Frontiers in Neural Circuits}, volume = {6}, pages = {121}, abstract = {We present a system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatio-temporal patterns of recorded action potentials and is capable of delivering sub-millisecond closed-loop feedback of electrical stimulation upon trigger events in real-time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a "knob" to tune information processing in the network.}, keywords = {ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation}, pubstate = {published}, tppubtype = {article} } Close We present a system to artificially correlate the spike timing between sets of arbitrary neurons that were interfaced to a complementary metal-oxide-semiconductor (CMOS) high-density microelectrode array (MEA). The system features a novel reprogrammable and flexible event engine unit to detect arbitrary spatio-temporal patterns of recorded action potentials and is capable of delivering sub-millisecond closed-loop feedback of electrical stimulation upon trigger events in real-time. The relative timing between action potentials of individual neurons as well as the temporal pattern among multiple neurons, or neuronal assemblies, is considered an important factor governing memory and learning in the brain. Artificially changing timings between arbitrary sets of spiking neurons with our system could provide a "knob" to tune information processing in the network. Close https://www.frontiersin.org/articles/10.3389/fncir.2012.00121/full doi:10.3389/fncir.2012.00121 Close
2012
	Franke, Felix; Jackel, David; Dragas, Jelena; Muller, Jan; Radivojevic, Milos; Bakkum, Douglas J; Hierlemann, Andreas High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity Journal Article Frontiers in Neural Circuits, 6 , pp. 105, 2012, ISSN: 1662-5110. Abstract \| Links \| BibTeX \| Tags: Neuronal Networks, Review, Spike Sorting @article{Hierlemann2012, title = {High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity}, author = {Felix Franke and David Jackel and Jelena Dragas and Jan Muller and Milos Radivojevic and Douglas J Bakkum and Andreas Hierlemann}, url = {https://www.frontiersin.org/article/10.3389/fncir.2012.00105}, doi = {10.3389/fncir.2012.00105}, issn = {1662-5110}, year = {2012}, date = {2012-12-20}, journal = {Frontiers in Neural Circuits}, volume = {6}, pages = {105}, abstract = {Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity includes recording and control of pre- and postsynaptic neural activity, e.g., by using simultaneous intracellular recording and stimulation of several neurons. Intracellular recording is, however, a demanding technique and has its limitations in that only a small number of neurons can be stimulated and recorded from at the same time. Extracellular techniques offer the possibility to simultaneously record from larger numbers of neurons with relative ease, at the expenses of increased efforts to sort out single neuronal activities from the recorded mixture, which is a time consuming and error prone step, referred to as spike sorting. In this mini-review, we describe recent technological developments in two separate fields, namely CMOS-based high-density microelectrode arrays, which also allow for extracellular stimulation of neurons, and real-time spike sorting. We argue that these techniques, when combined, will provide a powerful tool to study plasticity in neural networks consisting of several thousand neurons in vitro.}, keywords = {Neuronal Networks, Review, Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Understanding plasticity of neural networks is a key to comprehending their development and function. A powerful technique to study neural plasticity includes recording and control of pre- and postsynaptic neural activity, e.g., by using simultaneous intracellular recording and stimulation of several neurons. Intracellular recording is, however, a demanding technique and has its limitations in that only a small number of neurons can be stimulated and recorded from at the same time. Extracellular techniques offer the possibility to simultaneously record from larger numbers of neurons with relative ease, at the expenses of increased efforts to sort out single neuronal activities from the recorded mixture, which is a time consuming and error prone step, referred to as spike sorting. In this mini-review, we describe recent technological developments in two separate fields, namely CMOS-based high-density microelectrode arrays, which also allow for extracellular stimulation of neurons, and real-time spike sorting. We argue that these techniques, when combined, will provide a powerful tool to study plasticity in neural networks consisting of several thousand neurons in vitro. Close https://www.frontiersin.org/article/10.3389/fncir.2012.00105 doi:10.3389/fncir.2012.00105 Close
	Fiscella, Michele; Farrow, Karl; Jones, Ian L; Jäckel, David; Müller, Jan; Frey, Urs; Bakkum, Douglas J; Hantz, Péter; Roska, Botond; Hierlemann, Andreas Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection Journal Article Journal of Neuroscience Methods, 211 (1), pp. 103-113, 2012, ISSN: 01650270. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Retina @article{Fiscella2012, title = {Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection}, author = {Michele Fiscella and Karl Farrow and Ian L Jones and David Jäckel and Jan Müller and Urs Frey and Douglas J Bakkum and Péter Hantz and Botond Roska and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S0165027012003287?via%3Dihub}, doi = {10.1016/j.jneumeth.2012.08.017}, issn = {01650270}, year = {2012}, date = {2012-08-16}, journal = {Journal of Neuroscience Methods}, volume = {211}, number = {1}, pages = {103-113}, publisher = {Elsevier B.V.}, abstract = {In order to understand how retinal circuits encode visual scenes, the neural activity of defined populations of retinal ganglion cells (RGCs) has to be investigated. Here we report on a method for stimulating, detecting, and subsequently targeting defined populations of RGCs. The possibility to select a distinct population of RGCs for extracellular recording enables the design of experiments that can increase our understanding of how these neurons extract precise spatio-temporal features from the visual scene, and how the brain interprets retinal signals. We used light stimulation to elicit a response from physiologically distinct types of RGCs and then utilized the dynamic-configurability capabilities of a microelectronics-based high-density microelectrode array (MEA) to record their synchronous action potentials. The layout characteristics of the MEA made it possible to stimulate and record from multiple, highly overlapping RGCs simultaneously without light-induced artifacts. The high-density of electrodes and the high signal-to-noise ratio of the MEA circuitry allowed for recording of the activity of each RGC on 14 ± 7 electrodes. The spatial features of the electrical activity of each RGC greatly facilitated spike sorting. We were thus able to localize, identify and record from defined RGCs within a region of mouse retina. In addition, we stimulated and recorded from genetically modified RGCs to demonstrate the applicability of optogenetic methods, which introduces an additional feature to target a defined cell type. The developed methodologies can likewise be applied to other neuronal preparations including brain slices or cultured neurons.}, keywords = {ETH-CMOS-MEA, Retina}, pubstate = {published}, tppubtype = {article} } Close In order to understand how retinal circuits encode visual scenes, the neural activity of defined populations of retinal ganglion cells (RGCs) has to be investigated. Here we report on a method for stimulating, detecting, and subsequently targeting defined populations of RGCs. The possibility to select a distinct population of RGCs for extracellular recording enables the design of experiments that can increase our understanding of how these neurons extract precise spatio-temporal features from the visual scene, and how the brain interprets retinal signals. We used light stimulation to elicit a response from physiologically distinct types of RGCs and then utilized the dynamic-configurability capabilities of a microelectronics-based high-density microelectrode array (MEA) to record their synchronous action potentials. The layout characteristics of the MEA made it possible to stimulate and record from multiple, highly overlapping RGCs simultaneously without light-induced artifacts. The high-density of electrodes and the high signal-to-noise ratio of the MEA circuitry allowed for recording of the activity of each RGC on 14 ± 7 electrodes. The spatial features of the electrical activity of each RGC greatly facilitated spike sorting. We were thus able to localize, identify and record from defined RGCs within a region of mouse retina. In addition, we stimulated and recorded from genetically modified RGCs to demonstrate the applicability of optogenetic methods, which introduces an additional feature to target a defined cell type. The developed methodologies can likewise be applied to other neuronal preparations including brain slices or cultured neurons. Close http://www.sciencedirect.com/science/article/pii/S0165027012003287?via%3Dihub doi:10.1016/j.jneumeth.2012.08.017 Close
	Jäckel, David; Frey, Urs; Fiscella, Michele; Franke, Felix; Hierlemann, Andreas Applicability of independent component analysis on high-density microelectrode array recordings Journal Article Journal of Neurophysiology, 108 (1), pp. 334-348, 2012, ISSN: 0022-3077. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Spike Sorting @article{Jackel2012, title = {Applicability of independent component analysis on high-density microelectrode array recordings}, author = {David Jäckel and Urs Frey and Michele Fiscella and Felix Franke and Andreas Hierlemann}, url = {http://jn.physiology.org/cgi/doi/10.1152/jn.01106.2011}, doi = {10.1152/jn.01106.2011}, issn = {0022-3077}, year = {2012}, date = {2012-04-04}, journal = {Journal of Neurophysiology}, volume = {108}, number = {1}, pages = {334-348}, abstract = {Emerging complementary metal oxide semiconductor (CMOS)-based, high-density microelectrode array (HD-MEA) devices provide high spatial resolution at subcellular level and a large number of readout channels. These devices allow for simultaneous recording of extracellular activity of a large number of neurons with every neuron being detected by multiple electrodes. To analyze the recorded signals, spiking events have to be assigned to individual neurons, a process referred to as "spike sorting." For a set of observed signals, which constitute a linear mixture of a set of source signals, independent component (IC) analysis (ICA) can be used to demix blindly the data and extract the individual source signals. This technique offers great potential to alleviate the problem of spike sorting in HD-MEA recordings, as it represents an unsupervised method to separate the neuronal sources. The separated sources or ICs then constitute estimates of single-neuron signals, and threshold detection on the ICs yields the sorted spike times. However, it is unknown to what extent extracellular neuronal recordings meet the requirements of ICA. In this paper, we evaluate the applicability of ICA to spike sorting of HD-MEA recordings. The analysis of extracellular neuronal signals, recorded at high spatiotemporal resolution, reveals that the recorded data cannot be modeled as a purely linear mixture. As a consequence, ICA fails to separate completely the neuronal signals and cannot be used as a stand-alone method for spike sorting in HD-MEA recordings. We assessed the demixing performance of ICA using simulated data sets and found that the performance strongly depends on neuronal density and spike amplitude. Furthermore, we show how postprocessing techniques can be used to overcome the most severe limitations of ICA. In combination with these postprocessing techniques, ICA represents a viable method to facilitate rapid spike sorting of multidimensional neuronal recordings.}, keywords = {ETH-CMOS-MEA, Spike Sorting}, pubstate = {published}, tppubtype = {article} } Close Emerging complementary metal oxide semiconductor (CMOS)-based, high-density microelectrode array (HD-MEA) devices provide high spatial resolution at subcellular level and a large number of readout channels. These devices allow for simultaneous recording of extracellular activity of a large number of neurons with every neuron being detected by multiple electrodes. To analyze the recorded signals, spiking events have to be assigned to individual neurons, a process referred to as "spike sorting." For a set of observed signals, which constitute a linear mixture of a set of source signals, independent component (IC) analysis (ICA) can be used to demix blindly the data and extract the individual source signals. This technique offers great potential to alleviate the problem of spike sorting in HD-MEA recordings, as it represents an unsupervised method to separate the neuronal sources. The separated sources or ICs then constitute estimates of single-neuron signals, and threshold detection on the ICs yields the sorted spike times. However, it is unknown to what extent extracellular neuronal recordings meet the requirements of ICA. In this paper, we evaluate the applicability of ICA to spike sorting of HD-MEA recordings. The analysis of extracellular neuronal signals, recorded at high spatiotemporal resolution, reveals that the recorded data cannot be modeled as a purely linear mixture. As a consequence, ICA fails to separate completely the neuronal signals and cannot be used as a stand-alone method for spike sorting in HD-MEA recordings. We assessed the demixing performance of ICA using simulated data sets and found that the performance strongly depends on neuronal density and spike amplitude. Furthermore, we show how postprocessing techniques can be used to overcome the most severe limitations of ICA. In combination with these postprocessing techniques, ICA represents a viable method to facilitate rapid spike sorting of multidimensional neuronal recordings. Close http://jn.physiology.org/cgi/doi/10.1152/jn.01106.2011 doi:10.1152/jn.01106.2011 Close
2011
	Jones, Ian L; Livi, Paolo; Lewandowska, Marta K; Fiscella, Michele; Roscic, Branka; Hierlemann, Andreas The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics Journal Article Analytical and Bioanalytical Chemistry, 399 (7), pp. 2313-2329, 2011, ISSN: 1618-2650. Abstract \| Links \| BibTeX \| Tags: Review @article{Jones2011, title = {The potential of microelectrode arrays and microelectronics for biomedical research and diagnostics}, author = {Ian L Jones and Paolo Livi and Marta K Lewandowska and Michele Fiscella and Branka Roscic and Andreas Hierlemann}, url = {https://link.springer.com/article/10.1007%2Fs00216-010-3968-1}, doi = {10.1007/s00216-010-3968-1}, issn = {1618-2650}, year = {2011}, date = {2011-07-31}, journal = {Analytical and Bioanalytical Chemistry}, volume = {399}, number = {7}, pages = {2313-2329}, abstract = {Planar microelectrode arrays (MEAs) are devices that can be used in biomedical and basic in vitro research to provide extracellular electrophysiological information about biological systems at high spatial and temporal resolution. Complementary metal oxide semiconductor (CMOS) is a technology with which MEAs can be produced on a microscale featuring high spatial resolution and excellent signal-to-noise characteristics. CMOS MEAs are specialized for the analysis of complete electrogenic cellular networks at the cellular or subcellular level in dissociated cultures, organotypic cultures, and acute tissue slices; they can also function as biosensors to detect biochemical events. Models of disease or the response of cellular networks to pharmacological compounds can be studied in vitro, allowing one to investigate pathologies, such as cardiac arrhythmias, memory impairment due to Alzheimer's disease, or vision impairment caused by ganglion cell degeneration in the retina.}, keywords = {Review}, pubstate = {published}, tppubtype = {article} } Close Planar microelectrode arrays (MEAs) are devices that can be used in biomedical and basic in vitro research to provide extracellular electrophysiological information about biological systems at high spatial and temporal resolution. Complementary metal oxide semiconductor (CMOS) is a technology with which MEAs can be produced on a microscale featuring high spatial resolution and excellent signal-to-noise characteristics. CMOS MEAs are specialized for the analysis of complete electrogenic cellular networks at the cellular or subcellular level in dissociated cultures, organotypic cultures, and acute tissue slices; they can also function as biosensors to detect biochemical events. Models of disease or the response of cellular networks to pharmacological compounds can be studied in vitro, allowing one to investigate pathologies, such as cardiac arrhythmias, memory impairment due to Alzheimer's disease, or vision impairment caused by ganglion cell degeneration in the retina. Close https://link.springer.com/article/10.1007%2Fs00216-010-3968-1 doi:10.1007/s00216-010-3968-1 Close
	Hierlemann, Andreas; Frey, Urs; Hafizovic, Sadik; Heer, Flavio Growing cells atop microelectronic chips: Interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays Journal Article Proceedings of the IEEE, 99 (2), pp. 252-284, 2011, ISSN: 00189219. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Review @article{Hierlemann2011, title = {Growing cells atop microelectronic chips: Interfacing electrogenic cells in vitro with CMOS-based microelectrode arrays}, author = {Andreas Hierlemann and Urs Frey and Sadik Hafizovic and Flavio Heer}, url = {http://ieeexplore.ieee.org/document/5594982/}, doi = {10.1109/JPROC.2010.2066532}, issn = {00189219}, year = {2011}, date = {2011-02-01}, journal = {Proceedings of the IEEE}, volume = {99}, number = {2}, pages = {252-284}, abstract = {Complementary semiconductor-metal-oxide (CMOS) technology is a very powerful technology that can be more or less directly interfaced to electrogenic cells, like heart or brain cells in vitro. To this end, the cells are cultured directly atop the CMOS chips, which usually undergo dedicated postprocessing to obtain a reliable bidirectional interface via noble-metal microelectrodes or high-k dielectrics. The big advantages of using CMOS integrated circuits (ICs) include connectivity, the possibility to address a large number of microelectrodes on a tiny chip, and signal quality, the possibility to condition small signals right at the spot of their generation. CMOS will be demonstrated to constitute an enabling technology that opens a route to high-spatio-temporal-resolution and low-noise electrophysiological recordings from a variety of biological preparations, such as brain slices, or cultured cardiac and brain cells. The recording technique is extracellular and noninvasive, and the CMOS chips do not leak out any toxic compounds, so that the cells remain viable for extended times. In turn, the CMOS chips have been demonstrated to survive several months of culturing while being fully immersed in saline solution and being exposed to cellular metabolic products. The latter requires dedicated passivation and packaging techniques as will be shown. Fully integrated, monolithic microelectrode systems, which feature large numbers of tightly spaced microelectrodes and the associated circuitry units for bidirectional interaction (stimulation and recording), will be in the focus of this review. The respective dense microelectrode arrays (MEAs) with small pixels enable subcellular-resolution investigation of regions of interest in, e.g., neurobiological preparations, and, at the same time, the large number of electrodes allows for studying the activity of entire neuronal networks . Application areas include neuroscience, as the devices enable fundamental neurophysiological insights at the cellular and circuit level, as well as medical diagnostics and pharmacology.}, keywords = {ETH-CMOS-MEA, MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close Complementary semiconductor-metal-oxide (CMOS) technology is a very powerful technology that can be more or less directly interfaced to electrogenic cells, like heart or brain cells in vitro. To this end, the cells are cultured directly atop the CMOS chips, which usually undergo dedicated postprocessing to obtain a reliable bidirectional interface via noble-metal microelectrodes or high-k dielectrics. The big advantages of using CMOS integrated circuits (ICs) include connectivity, the possibility to address a large number of microelectrodes on a tiny chip, and signal quality, the possibility to condition small signals right at the spot of their generation. CMOS will be demonstrated to constitute an enabling technology that opens a route to high-spatio-temporal-resolution and low-noise electrophysiological recordings from a variety of biological preparations, such as brain slices, or cultured cardiac and brain cells. The recording technique is extracellular and noninvasive, and the CMOS chips do not leak out any toxic compounds, so that the cells remain viable for extended times. In turn, the CMOS chips have been demonstrated to survive several months of culturing while being fully immersed in saline solution and being exposed to cellular metabolic products. The latter requires dedicated passivation and packaging techniques as will be shown. Fully integrated, monolithic microelectrode systems, which feature large numbers of tightly spaced microelectrodes and the associated circuitry units for bidirectional interaction (stimulation and recording), will be in the focus of this review. The respective dense microelectrode arrays (MEAs) with small pixels enable subcellular-resolution investigation of regions of interest in, e.g., neurobiological preparations, and, at the same time, the large number of electrodes allows for studying the activity of entire neuronal networks . Application areas include neuroscience, as the devices enable fundamental neurophysiological insights at the cellular and circuit level, as well as medical diagnostics and pharmacology. Close http://ieeexplore.ieee.org/document/5594982/ doi:10.1109/JPROC.2010.2066532 Close
2010
	Livi, Paolo; Heer, Flavio; Frey, Urs; Bakkum, Douglas J; Hierlemann, Andreas Compact voltage and current stimulation buffer for high-density microelectrode arrays Journal Article IEEE Transactions on Biomedical Circuits and Systems, 4 (6), pp. 372-378, 2010, ISSN: 19324545. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology, Stimulation @article{Livi2010, title = {Compact voltage and current stimulation buffer for high-density microelectrode arrays}, author = {Paolo Livi and Flavio Heer and Urs Frey and Douglas J Bakkum and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/5617318/}, doi = {10.1109/TBCAS.2010.2080676}, issn = {19324545}, year = {2010}, date = {2010-11-01}, journal = {IEEE Transactions on Biomedical Circuits and Systems}, volume = {4}, number = {6}, pages = {372-378}, abstract = {We report on a compact (0.02 mm2 ) buffer for both voltage and current stimulation of electrogenic cells on a complementary metal-oxide semiconductor microelectrode array. In voltage mode, the circuit is a high-current class-AB voltage follower, based on a local common-mode feedback (LCMFB) amplifier. In current mode, the circuit is a current conveyor of type II, using the same LCMFB amplifier with cascode stages to increase the gain. The circuit shows good linearity in the 0.5-3.5 V input range and has extensively been used for stimulation of neuronal cultures.}, keywords = {ETH-CMOS-MEA, MEA Technology, Stimulation}, pubstate = {published}, tppubtype = {article} } Close We report on a compact (0.02 mm2 ) buffer for both voltage and current stimulation of electrogenic cells on a complementary metal-oxide semiconductor microelectrode array. In voltage mode, the circuit is a high-current class-AB voltage follower, based on a local common-mode feedback (LCMFB) amplifier. In current mode, the circuit is a current conveyor of type II, using the same LCMFB amplifier with cascode stages to increase the gain. The circuit shows good linearity in the 0.5-3.5 V input range and has extensively been used for stimulation of neuronal cultures. Close http://ieeexplore.ieee.org/document/5617318/ doi:10.1109/TBCAS.2010.2080676 Close
	Frey, Urs; Sedivy, Jan; Heer, Flavio; Pedron, Rene; Ballini, Marco; Müller, Jan; Bakkum, Douglas J; Hafizovic, Sadik; Faraci, Francesca D; Greve, Frauke; Kirstein, Kay Uwe; Hierlemann, Andreas Switch-matrix-based high-density microelectrode array in CMOS technology Journal Article IEEE Journal of Solid-State Circuits, 45 (2), pp. 467-482, 2010, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology @article{Frey2010, title = {Switch-matrix-based high-density microelectrode array in CMOS technology}, author = {Urs Frey and Jan Sedivy and Flavio Heer and Rene Pedron and Marco Ballini and Jan Müller and Douglas J Bakkum and Sadik Hafizovic and Francesca D Faraci and Frauke Greve and Kay Uwe Kirstein and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/5405139/}, doi = {10.1109/JSSC.2009.2035196}, issn = {00189200}, year = {2010}, date = {2010-02-02}, journal = {IEEE Journal of Solid-State Circuits}, volume = {45}, number = {2}, pages = {467-482}, abstract = {We report on a CMOS-based microelectrode array (MEA) featuring 11, 011 metal electrodes and 126 channels, each of which comprises recording and stimulation electronics, for extracellular bidirectional communication with electrogenic cells, such as neurons or cardiomyocytes. The important features include: (i) high spatial resolution at (sub)cellular level with 3150 electrodes per mm2 (electrode diameter 7 um, electrode pitch 18 um); (ii) a reconflgurable routing of the recording sites to the 126 channels; and (iii) low noise levels.}, keywords = {ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close We report on a CMOS-based microelectrode array (MEA) featuring 11, 011 metal electrodes and 126 channels, each of which comprises recording and stimulation electronics, for extracellular bidirectional communication with electrogenic cells, such as neurons or cardiomyocytes. The important features include: (i) high spatial resolution at (sub)cellular level with 3150 electrodes per mm2 (electrode diameter 7 um, electrode pitch 18 um); (ii) a reconflgurable routing of the recording sites to the 126 channels; and (iii) low noise levels. Close http://ieeexplore.ieee.org/document/5405139/ doi:10.1109/JSSC.2009.2035196 Close
2009
	Frey, U; Egert, U; Jäckel, D; Sedivy, J; Ballini, M; Livi, P; Faraci, F; F. Heer, Hafizovic S; Roscic, B; Hierlemann, A Depth Recording Capabilities of Planar High-Density Microelectrode Arrays Conference 2009 4th International IEEE/EMBS Conference on Neural Engineering 2009. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, Brain Slice, ETH-CMOS-MEA @conference{Frey2009b, title = {Depth Recording Capabilities of Planar High-Density Microelectrode Arrays}, author = {U. Frey and U. Egert and D. Jäckel and J. Sedivy and M. Ballini and P. Livi and F. Faraci and F. Heer, S. Hafizovic and B. Roscic and A. Hierlemann}, url = {https://ieeexplore.ieee.org/document/5109270}, doi = {10.1109/NER.2009.5109270}, year = {2009}, date = {2009-04-01}, organization = {2009 4th International IEEE/EMBS Conference on Neural Engineering}, abstract = {We use a planar, CMOS-based microelectrode array (MEA) featuring 3,150 metal electrodes per mm2 and 126 recording channels to record spatially highly resolved extracellular action potentials (EAPs) from Purkinje cells (PCs) in acute cerebellar slices. An IndependentComponent-Analysis-based (ICA) spike sorter is used to reveal EAPs of single cells at subcellular resolution. Those EAPs are then used to set up a compartment model of a PC. The model is used to make and finetune estimations of the distance between MEA surface and PC soma. This distance is estimated using the amplitude-independent part of the shape of the EAPs obtained from recordings. The estimation shows that, in our preparations, we can record from PCs with the center of their soma at approximately 35 μm and 90 μm vertical distance to the chip surface.}, keywords = {2D Neuronal Culture, Brain Slice, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {conference} } Close We use a planar, CMOS-based microelectrode array (MEA) featuring 3,150 metal electrodes per mm2 and 126 recording channels to record spatially highly resolved extracellular action potentials (EAPs) from Purkinje cells (PCs) in acute cerebellar slices. An IndependentComponent-Analysis-based (ICA) spike sorter is used to reveal EAPs of single cells at subcellular resolution. Those EAPs are then used to set up a compartment model of a PC. The model is used to make and finetune estimations of the distance between MEA surface and PC soma. This distance is estimated using the amplitude-independent part of the shape of the EAPs obtained from recordings. The estimation shows that, in our preparations, we can record from PCs with the center of their soma at approximately 35 μm and 90 μm vertical distance to the chip surface. Close https://ieeexplore.ieee.org/document/5109270 doi:10.1109/NER.2009.5109270 Close
	Frey, Urs; Egert, Ulrich; Heer, Flavio; Hafizovic, Sadik; Hierlemann, Andreas Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices Journal Article Biosensors and Bioelectronics, 24 (7), pp. 2191-2198, 2009, ISSN: 09565663. Abstract \| Links \| BibTeX \| Tags: Brain Slice, ETH-CMOS-MEA @article{Frey2009, title = {Microelectronic system for high-resolution mapping of extracellular electric fields applied to brain slices}, author = {Urs Frey and Ulrich Egert and Flavio Heer and Sadik Hafizovic and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S095656630800643X?via%3Dihub}, doi = {10.1016/j.bios.2008.11.028}, issn = {09565663}, year = {2009}, date = {2009-03-15}, journal = {Biosensors and Bioelectronics}, volume = {24}, number = {7}, pages = {2191-2198}, abstract = {There is an enduring quest for technologies that provide - temporally and spatially - highly resolved information on electric neuronal or cardiac activity in functional tissues or cell cultures. Here, we present a planar high-density, low-noise microelectrode system realized in microelectronics technology that features 11,011 microelectrodes (3,150 electrodes per mm2), 126 of which can be arbitrarily selected and can, via a reconfigurable routing scheme, be connected to on-chip recording and stimulation circuits. This device enables long-term extracellular electrical-activity recordings at subcellular spatial resolution and microsecond temporal resolution to capture the entire dynamics of the cellular electrical signals. To illustrate the device performance, extracellular potentials of Purkinje cells (PCs) in acute slices of the cerebellum have been analyzed. A detailed and comprehensive picture of the distribution and dynamics of action potentials (APs) in the somatic and dendritic regions of a single cell was obtained from the recordings by applying spike sorting and spike-triggered averaging methods to the collected data. An analysis of the measured local current densities revealed a reproducible sink/source pattern within a single cell during an AP. The experimental data substantiated compartmental models and can be used to extend those models to better understand extracellular single-cell potential patterns and their contributions to the population activity. The presented devices can be conveniently applied to a broad variety of biological preparations, i.e., neural or cardiac tissues, slices, or cell cultures can be grown or placed directly atop of the chips for fundamental mechanistic or pharmacological studies.}, keywords = {Brain Slice, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close There is an enduring quest for technologies that provide - temporally and spatially - highly resolved information on electric neuronal or cardiac activity in functional tissues or cell cultures. Here, we present a planar high-density, low-noise microelectrode system realized in microelectronics technology that features 11,011 microelectrodes (3,150 electrodes per mm2), 126 of which can be arbitrarily selected and can, via a reconfigurable routing scheme, be connected to on-chip recording and stimulation circuits. This device enables long-term extracellular electrical-activity recordings at subcellular spatial resolution and microsecond temporal resolution to capture the entire dynamics of the cellular electrical signals. To illustrate the device performance, extracellular potentials of Purkinje cells (PCs) in acute slices of the cerebellum have been analyzed. A detailed and comprehensive picture of the distribution and dynamics of action potentials (APs) in the somatic and dendritic regions of a single cell was obtained from the recordings by applying spike sorting and spike-triggered averaging methods to the collected data. An analysis of the measured local current densities revealed a reproducible sink/source pattern within a single cell during an AP. The experimental data substantiated compartmental models and can be used to extend those models to better understand extracellular single-cell potential patterns and their contributions to the population activity. The presented devices can be conveniently applied to a broad variety of biological preparations, i.e., neural or cardiac tissues, slices, or cell cultures can be grown or placed directly atop of the chips for fundamental mechanistic or pharmacological studies. Close http://www.sciencedirect.com/science/article/pii/S095656630800643X?via%3Dihub doi:10.1016/j.bios.2008.11.028 Close
	Weber, Wilfried; Luzi, Stefan; Karlsson, Maria; Sanchez-Bustamante, Carlota Diaz; Frey, Urs; Hierlemann, Andreas; Fussenegger, Martin A synthetic mammalian electro-genetic transcription circuit Journal Article Nucleic Acids Research, 37 (4), pp. 1-8, 2009, ISSN: 03051048. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Weber2009, title = {A synthetic mammalian electro-genetic transcription circuit}, author = {Wilfried Weber and Stefan Luzi and Maria Karlsson and Carlota Diaz Sanchez-Bustamante and Urs Frey and Andreas Hierlemann and Martin Fussenegger}, url = {https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkp014}, doi = {10.1093/nar/gkp014}, issn = {03051048}, year = {2009}, date = {2009-02-03}, journal = {Nucleic Acids Research}, volume = {37}, number = {4}, pages = {1-8}, abstract = {Electric signal processing has evolved to manage rapid information transfer in neuronal networks and muscular contraction in multicellular organisms and controls the most sophisticated man-built devices. Using a synthetic biology approach to assemble electronic parts with genetic control units engineered into mammalian cells, we designed an electric power-adjustable transcription control circuit able to integrate the intensity of a direct current over time, to translate the amplitude or frequency of an alternating current into an adjustable genetic readout or to modulate the beating frequency of primary heart cells. Successful miniaturization of the electro-genetic devices may pave the way for the design of novel hybrid electrogenetic implants assembled from electronic and genetic parts.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Electric signal processing has evolved to manage rapid information transfer in neuronal networks and muscular contraction in multicellular organisms and controls the most sophisticated man-built devices. Using a synthetic biology approach to assemble electronic parts with genetic control units engineered into mammalian cells, we designed an electric power-adjustable transcription control circuit able to integrate the intensity of a direct current over time, to translate the amplitude or frequency of an alternating current into an adjustable genetic readout or to modulate the beating frequency of primary heart cells. Successful miniaturization of the electro-genetic devices may pave the way for the design of novel hybrid electrogenetic implants assembled from electronic and genetic parts. Close https://academic.oup.com/nar/article-lookup/doi/10.1093/nar/gkp014 doi:10.1093/nar/gkp014 Close
2008
	Sanchez-Bustamante, Carlota Diaz; Frey, Urs; Kelm, Jens M; Hierlemann, Andreas; Fussenegger, Martin Modulation of cardiomyocyte electrical properties using regulated bone morphogenetic protein-2 expression. Journal Article Tissue Engineering. Part A, 14 (12), pp. 1969-1988, 2008, ISSN: 1937-3341. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Sanchez-Bustamante2008, title = {Modulation of cardiomyocyte electrical properties using regulated bone morphogenetic protein-2 expression.}, author = {Carlota Diaz Sanchez-Bustamante and Urs Frey and Jens M Kelm and Andreas Hierlemann and Martin Fussenegger}, url = {http://online.liebertpub.com/doi/abs/10.1089/ten.tea.2007.0302?url_ver=Z39.88-2003&rfr_id=ori%3Arid%3Acrossref.org&rfr_dat=cr_pub%3Dpubmed}, doi = {10.1089/ten.tea.2007.0302}, issn = {1937-3341}, year = {2008}, date = {2008-11-19}, journal = {Tissue Engineering. Part A}, volume = {14}, number = {12}, pages = {1969-1988}, abstract = {Because cardiomyocytes lose their ability to divide after birth, any subsequent cell loss or dysfunction results in pathologic cardiac rhythm initiation or impulse conduction. Strategies to restore and control the electrophysiological activity of the heart may, therefore, greatly affect the regeneration of cardiac tissue functionality. Using lentivirus-derived particles to regulate the bone morphogenetic protein-2 (BMP-2) gene expression in a pristinamycin- or gaseous acetaldehyde-inducible manner, we demonstrated the adjustment of cardiomyocyte electrophysiological characteristics. Complementary metal oxide semiconductor-based high-density microelectrode arrays (HD-MEAs) were used to monitor the electrophysiological activity of neonatal rat cardiomyocytes (NRCs) cultured as monolayers (NRCml) or as microtissues (NRCmt). NRCmt more closely resembled heart tissue physiology than did NRCml and could be conveniently monitored using HD-MEAs because of their ability to detect low-signal events and to sub-select the region of interest, namely, areas where the microtissues were placed. Cardiomyocyte-forming microtissues, transduced using lentiviral vectors encoding BMP-2, were capable of restoring myocardial microtissue electrical activity. We also engineered NRCmt to functionally couple within a cardiomyocyte monolayer, thus showing pacemaker-like activity upon local regulation of transgenic BMP-2 expression. The controlled expression of therapeutic transgenes represents a crucial advance for clinical interventions and gene-function analysis.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close Because cardiomyocytes lose their ability to divide after birth, any subsequent cell loss or dysfunction results in pathologic cardiac rhythm initiation or impulse conduction. Strategies to restore and control the electrophysiological activity of the heart may, therefore, greatly affect the regeneration of cardiac tissue functionality. Using lentivirus-derived particles to regulate the bone morphogenetic protein-2 (BMP-2) gene expression in a pristinamycin- or gaseous acetaldehyde-inducible manner, we demonstrated the adjustment of cardiomyocyte electrophysiological characteristics. Complementary metal oxide semiconductor-based high-density microelectrode arrays (HD-MEAs) were used to monitor the electrophysiological activity of neonatal rat cardiomyocytes (NRCs) cultured as monolayers (NRCml) or as microtissues (NRCmt). NRCmt more closely resembled heart tissue physiology than did NRCml and could be conveniently monitored using HD-MEAs because of their ability to detect low-signal events and to sub-select the region of interest, namely, areas where the microtissues were placed. Cardiomyocyte-forming microtissues, transduced using lentiviral vectors encoding BMP-2, were capable of restoring myocardial microtissue electrical activity. We also engineered NRCmt to functionally couple within a cardiomyocyte monolayer, thus showing pacemaker-like activity upon local regulation of transgenic BMP-2 expression. The controlled expression of therapeutic transgenes represents a crucial advance for clinical interventions and gene-function analysis. Close http://online.liebertpub.com/doi/abs/10.1089/ten.tea.2007.0302?url_ver=Z39.88-20[...] doi:10.1089/ten.tea.2007.0302 Close
2007
	Heer, Flavio; Hafizovic, Sadik; Ugniwenko, T; Frey, Urs; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas A CMOS-based microelectrode array for interaction with neuronal cultures Journal Article Journal of Neuroscience Methods, 164 (1), pp. 93-106, 2007, ISSN: 0165-0270. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, Neuronal Networks @article{Hierlemann2007, title = {A CMOS-based microelectrode array for interaction with neuronal cultures}, author = {Flavio Heer and Sadik Hafizovic and T Ugniwenko and Urs Frey and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://linkinghub.elsevier.com/retrieve/pii/S0165027007001781}, doi = {10.1016/j.jneumeth.2007.04.006}, issn = {0165-0270}, year = {2007}, date = {2007-04-19}, journal = {Journal of Neuroscience Methods}, volume = {164}, number = {1}, pages = {93-106}, abstract = {We report on the system integration of a CMOS chip that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes and that is targeted at investigating electrical signal propagation within cellular networks in vitro. The overall system consists of three major subunits: first, the core component is a 6.5 mm × 6.5 mm CMOS chip, on top of which the cells are cultured. It features 128 bidirectional electrodes, each equipped with dedicated analog filters and amplification stages and a stimulation buffer. The electrodes are sampled at 20 kHz with 8-bit resolution. The measured input-referred circuitry noise is 5.9 muV root mean square (10 Hz to 100 kHz), which allows to reliably detect the cell signals ranging from 1 mVpp down to 40 muVpp. Additionally, temperature sensors, a digital-to-analog converter for stimulation, and a digital interface for data transmission are integrated. Second, there is a reconfigurable logic device, which provides chip control, event detection, data buffering and an USB interface, capable of processing the 2.56 million samples per second. The third element includes software that is running on a standard PC performing data capturing, processing, and visualization. Experiments involving the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The response patterns have been successfully classified (83% correct) with respect to the different stimulation patterns. The advantages over current microelectrode arrays, as has been demonstrated in the experiments, include the capability to stimulate (voltage stimulation, 8 bit, 60 kHz) spatio-temporal patterns on arbitrary sets of electrodes and the fast stimulation reset mechanism that allows to record neuronal signals on a stimulating electrode 5 ms after stimulation (instantaneously on all other electrodes). Other advantages of the overall system include the small number of needed electrical connections due to the digital interface and the short latency time that allows to initiate a stimulation less than 2 ms after the detection of an action potential in closed-loop configurations.}, keywords = {ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close We report on the system integration of a CMOS chip that is capable of bidirectionally communicating (stimulation and recording) with electrogenic cells such as neurons or cardiomyocytes and that is targeted at investigating electrical signal propagation within cellular networks in vitro. The overall system consists of three major subunits: first, the core component is a 6.5 mm × 6.5 mm CMOS chip, on top of which the cells are cultured. It features 128 bidirectional electrodes, each equipped with dedicated analog filters and amplification stages and a stimulation buffer. The electrodes are sampled at 20 kHz with 8-bit resolution. The measured input-referred circuitry noise is 5.9 muV root mean square (10 Hz to 100 kHz), which allows to reliably detect the cell signals ranging from 1 mVpp down to 40 muVpp. Additionally, temperature sensors, a digital-to-analog converter for stimulation, and a digital interface for data transmission are integrated. Second, there is a reconfigurable logic device, which provides chip control, event detection, data buffering and an USB interface, capable of processing the 2.56 million samples per second. The third element includes software that is running on a standard PC performing data capturing, processing, and visualization. Experiments involving the stimulation of neurons with two different spatio-temporal patterns and the recording of the triggered spiking activity have been carried out. The response patterns have been successfully classified (83% correct) with respect to the different stimulation patterns. The advantages over current microelectrode arrays, as has been demonstrated in the experiments, include the capability to stimulate (voltage stimulation, 8 bit, 60 kHz) spatio-temporal patterns on arbitrary sets of electrodes and the fast stimulation reset mechanism that allows to record neuronal signals on a stimulating electrode 5 ms after stimulation (instantaneously on all other electrodes). Other advantages of the overall system include the small number of needed electrical connections due to the digital interface and the short latency time that allows to initiate a stimulation less than 2 ms after the detection of an action potential in closed-loop configurations. Close http://linkinghub.elsevier.com/retrieve/pii/S0165027007001781 doi:10.1016/j.jneumeth.2007.04.006 Close
	Greve, Frauke; Lichtenberg, Jan; Kirstein, Kay Uwe; Frey, Urs; Perriard, Jean Claude; Hierlemann, Andreas A perforated CMOS microchip platform for immobilization and activity monitoring of electrogenic cells Journal Article Journal of Micromechanics and Microengineering, 17 (3), pp. 462-471, 2007, ISSN: 0960-1317. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, Cardiomyocytes, ETH-CMOS-MEA, MEA Technology @article{Greve2007, title = {A perforated CMOS microchip platform for immobilization and activity monitoring of electrogenic cells}, author = {Frauke Greve and Jan Lichtenberg and Kay Uwe Kirstein and Urs Frey and Jean Claude Perriard and Andreas Hierlemann}, url = {http://iopscience.iop.org/article/10.1088/0960-1317/17/3/007/}, doi = {10.1088/0960-1317/17/3/007}, issn = {0960-1317}, year = {2007}, date = {2007-01-30}, journal = {Journal of Micromechanics and Microengineering}, volume = {17}, number = {3}, pages = {462-471}, abstract = {CMOS-based microelectrode systems offer decisive advantages over conventional micro-electrode arrays, which include the possibility to perform on-chip signal conditioning or to efficiently use larger numbers of electrodes to obtain statistically relevant data, e.g., in pharmacological drug screening. A larger number of electrodes can only be realized with the help of on-chip multiplexing and readout schemes, which require integrated electronics. Another fundamental issue in performing high-fidelity recordings from electrogenic cells is a good electrical coupling between the cells and the microelectrodes, in particular, since the recorded extracellular signals are in the range of only 10–1000 µV. In this paper we present the first CMOS microelectrode system with integrated micromechanical cell-placement features fabricated in a commercial CMOS process with subsequent post-CMOS bulk micromachining. This new microdevice aims at enabling the precise placement of single cells in the center of the electrodes to ensure an efficient use of the available electrodes, even for low-density cell cultures. Small through-chip holes have been generated at the metal-electrode sites by using a combination of bulk micromachining and reactive-ion etching. These holes act as orifices so that cell immobilization can be achieved by means of pneumatic anchoring. The chip additionally hosts integrated circuitry, i.e., multiplexers to select the respective readout electrodes, an amplifier with selectable gain (2×, 10×, 100×), and a high-pass filter (100 Hz cut-off). In this paper we show that electrical signals from most of the electrodes can be recorded, even in low-density cultures of neonatal rat cardiomyocytes, by using perforated metal electrodes and by applying a small underpressure from the backside of the chip. The measurements evidenced that, in most cases, about 90% of the electrodes were covered with single cells, approximately 4% were covered with more than one cell due to clustering and approximately 6% were not covered with any cell, mostly as a consequence of orifice clogging. After 4 days of culturing, the cells were still in place on the electrodes so that the cell electrical activity could be measured using the on-chip circuitry. Measured signal amplitudes were in the range of 500–700 µV, while the input-referred noise of the readout was below 15 µVrms (100 Hz–4 kHz bandwidth). We report on the development and fabrication of this new cell-biological tool and present first results collected during the characterization and evaluation of the chip. The recordings of electrical potentials of neonatal rat cardiomyocytes after several days in vitro, which, on the one hand, were conventionally cultured (no pneumatic anchoring) and, on the other hand, were anchored and immobilized, will be detailed.}, keywords = {2D Neuronal Culture, Cardiomyocytes, ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close CMOS-based microelectrode systems offer decisive advantages over conventional micro-electrode arrays, which include the possibility to perform on-chip signal conditioning or to efficiently use larger numbers of electrodes to obtain statistically relevant data, e.g., in pharmacological drug screening. A larger number of electrodes can only be realized with the help of on-chip multiplexing and readout schemes, which require integrated electronics. Another fundamental issue in performing high-fidelity recordings from electrogenic cells is a good electrical coupling between the cells and the microelectrodes, in particular, since the recorded extracellular signals are in the range of only 10–1000 µV. In this paper we present the first CMOS microelectrode system with integrated micromechanical cell-placement features fabricated in a commercial CMOS process with subsequent post-CMOS bulk micromachining. This new microdevice aims at enabling the precise placement of single cells in the center of the electrodes to ensure an efficient use of the available electrodes, even for low-density cell cultures. Small through-chip holes have been generated at the metal-electrode sites by using a combination of bulk micromachining and reactive-ion etching. These holes act as orifices so that cell immobilization can be achieved by means of pneumatic anchoring. The chip additionally hosts integrated circuitry, i.e., multiplexers to select the respective readout electrodes, an amplifier with selectable gain (2×, 10×, 100×), and a high-pass filter (100 Hz cut-off). In this paper we show that electrical signals from most of the electrodes can be recorded, even in low-density cultures of neonatal rat cardiomyocytes, by using perforated metal electrodes and by applying a small underpressure from the backside of the chip. The measurements evidenced that, in most cases, about 90% of the electrodes were covered with single cells, approximately 4% were covered with more than one cell due to clustering and approximately 6% were not covered with any cell, mostly as a consequence of orifice clogging. After 4 days of culturing, the cells were still in place on the electrodes so that the cell electrical activity could be measured using the on-chip circuitry. Measured signal amplitudes were in the range of 500–700 µV, while the input-referred noise of the readout was below 15 µVrms (100 Hz–4 kHz bandwidth). We report on the development and fabrication of this new cell-biological tool and present first results collected during the characterization and evaluation of the chip. The recordings of electrical potentials of neonatal rat cardiomyocytes after several days in vitro, which, on the one hand, were conventionally cultured (no pneumatic anchoring) and, on the other hand, were anchored and immobilized, will be detailed. Close http://iopscience.iop.org/article/10.1088/0960-1317/17/3/007/ doi:10.1088/0960-1317/17/3/007 Close
	Frey, U; Heer, F; Pedro, R; Greve, F; Hafizovic, S; Kirstein, K -U; Hierlemann, A 11'000 Electrode-, 126 channel-CMOS microelectrode array for electrogenic cells Conference 2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS), 2007. Abstract \| Links \| BibTeX \| Tags: Action Potential, Brain Slice, Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Spike Sorting @conference{Frey2007, title = {11'000 Electrode-, 126 channel-CMOS microelectrode array for electrogenic cells}, author = {U. Frey and F. Heer and R. Pedro and F. Greve and S. Hafizovic and K.-U. Kirstein and A. Hierlemann}, url = {http://ieeexplore.ieee.org/document/4433154/}, doi = {10.1109/MEMSYS.2007.4433154}, year = {2007}, date = {2007-01-01}, booktitle = {2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS)}, journal = {2007 IEEE 20th International Conference on Micro Electro Mechanical Systems (MEMS)}, abstract = {We present a CMOS-based microelectrode array with 11'016 metal electrodes and 126 on-chip channels, each of which includes recording and stimulation electronics for bidirectional communication with electrogenic cells (neurons or cardiomyocytes). The features of this chip include high spatial resolution with 3200 electrodes per mm2 to attain cellular or subcellular resolution (electrode diameter 7 μm, pitch 18 μm, honeycomb pattern), great flexibility in routing the 126 channels to the 11’016 recording sites, and low noise levels in the recordings (2.4 μVrms) so that single action potentials from mammalian cells can be monitored. The low noise levels also enable the recording of single-unit spike activity in acute slice preparations.}, keywords = {Action Potential, Brain Slice, Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Spike Sorting}, pubstate = {published}, tppubtype = {conference} } Close We present a CMOS-based microelectrode array with 11'016 metal electrodes and 126 on-chip channels, each of which includes recording and stimulation electronics for bidirectional communication with electrogenic cells (neurons or cardiomyocytes). The features of this chip include high spatial resolution with 3200 electrodes per mm2 to attain cellular or subcellular resolution (electrode diameter 7 μm, pitch 18 μm, honeycomb pattern), great flexibility in routing the 126 channels to the 11’016 recording sites, and low noise levels in the recordings (2.4 μVrms) so that single action potentials from mammalian cells can be monitored. The low noise levels also enable the recording of single-unit spike activity in acute slice preparations. Close http://ieeexplore.ieee.org/document/4433154/ doi:10.1109/MEMSYS.2007.4433154 Close
2006
	Heer, Flavio; Hafizovic, Sadik; Ugniwenko, T; Frey, Urs; Franks, Wendy; Perriard, Evelyne; Perriard, Jean Claude; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas Single-chip microelectronic system to interface with living cells Journal Article Biosensors & Bioelectronics, 22 (11), pp. 2546-2553, 2006, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA, Neuronal Networks @article{Hierlemann2006, title = {Single-chip microelectronic system to interface with living cells}, author = {Flavio Heer and Sadik Hafizovic and T Ugniwenko and Urs Frey and Wendy Franks and Evelyne Perriard and Jean Claude Perriard and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S0956566306004891?via%3Dihub}, doi = {10.1016/j.bios.2006.10.003}, issn = {0956-5663}, year = {2006}, date = {2006-11-13}, journal = {Biosensors & Bioelectronics}, volume = {22}, number = {11}, pages = {2546-2553}, abstract = {A high degree of connectivity and the coordinated electrical activity of neural cells or networks are believed to be the reason that the brain is capable of highly sophisticated information processing. Likewise, the effectiveness of an animal heart largely depends on such coordinated cell activity. To advance our understanding of these complex biological systems, high spatiotemporal-resolution techniques to monitor the cell electrical activity and an ideally seamless interaction between cells and recording devices are desired. Here we present a monolithic microsystem in complementary metal oxide semiconductor (CMOS) technology that provides bidirectional communication (stimulation and recording) between standard electronics technology and cultured electrogenic cells. The microchip can be directly used as a substrate for cell culturing, it features circuitry units per electrode for stimulation and immediate cell signal treatment, and it provides on-chip signal transformation as well as a digital interface so that a very fast, almost real-time interaction (2ms loop time from event recognition to, e.g., a defined stimulation) is possible at remarkable signal quality. The corresponding spontaneous and stimulated electrical activity recordings with neuronal and cardiac cell cultures will be presented. The system can be used to, e.g., study the development of neural networks, reveal the effects of neuronal plasticity and study cellular or network activity in response to pharmacological treatments.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA, Neuronal Networks}, pubstate = {published}, tppubtype = {article} } Close A high degree of connectivity and the coordinated electrical activity of neural cells or networks are believed to be the reason that the brain is capable of highly sophisticated information processing. Likewise, the effectiveness of an animal heart largely depends on such coordinated cell activity. To advance our understanding of these complex biological systems, high spatiotemporal-resolution techniques to monitor the cell electrical activity and an ideally seamless interaction between cells and recording devices are desired. Here we present a monolithic microsystem in complementary metal oxide semiconductor (CMOS) technology that provides bidirectional communication (stimulation and recording) between standard electronics technology and cultured electrogenic cells. The microchip can be directly used as a substrate for cell culturing, it features circuitry units per electrode for stimulation and immediate cell signal treatment, and it provides on-chip signal transformation as well as a digital interface so that a very fast, almost real-time interaction (2ms loop time from event recognition to, e.g., a defined stimulation) is possible at remarkable signal quality. The corresponding spontaneous and stimulated electrical activity recordings with neuronal and cardiac cell cultures will be presented. The system can be used to, e.g., study the development of neural networks, reveal the effects of neuronal plasticity and study cellular or network activity in response to pharmacological treatments. Close http://www.sciencedirect.com/science/article/pii/S0956566306004891?via%3Dihub doi:10.1016/j.bios.2006.10.003 Close
	Franks, Wendy; Tosatti, Samuele; Heer, Flavio; Seif, Philipp; Textor, Marcus; Hierlemann, Andreas Patterned cell adhesion by self-assembled structures for use with a CMOS cell-based biosensor Journal Article Biosensors & Bioelectronics, 22 (7), pp. 1426-1433, 2006, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Hierlemann2006b, title = {Patterned cell adhesion by self-assembled structures for use with a CMOS cell-based biosensor}, author = {Wendy Franks and Samuele Tosatti and Flavio Heer and Philipp Seif and Marcus Textor and Andreas Hierlemann}, url = {http://www.sciencedirect.com/science/article/pii/S095656630600282X?via%3Dihub}, doi = {10.1016/j.bios.2006.06.031}, issn = {0956-5663}, year = {2006}, date = {2006-10-19}, journal = {Biosensors & Bioelectronics}, volume = {22}, number = {7}, pages = {1426-1433}, abstract = {A strategy for patterned cell adhesion based on chemical surface modification is presented. To confine cell adhesion to specific locations, an engineered surface for high-contrast protein adsorption and, hence, cell attachment has been developed. Surface functionalization is based on selective molecular-assembly patterning (SMAP). An amine-terminated self-assembled monolayer is used to define areas of cell adhesion. A protein-repellent grafted copolymer, poly(l-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG), is used to render the surrounding silicon dioxide resistant to protein adsorption. X-ray photoelectron spectroscopy, scanning ellipsometry and fluorescence microscopy techniques were used to monitor the individual steps of the patterning process. Successful guided growth using these layers is demonstrated with primary neonatal rat cardiomyocytes, up to 4 days in vitro, and with the HL-1 cardiomyocyte cell line, up to 7 days in vitro. The advantage of the presented method is that high-resolution engineered surfaces can be realized using a simple, cost-effective, dip-and-rinse process. The technique has been developed for application on a CMOS cell-based biosensor, which comprises an array of microelectrodes to extracellularly record electrical activity from cardiomyocytes.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close A strategy for patterned cell adhesion based on chemical surface modification is presented. To confine cell adhesion to specific locations, an engineered surface for high-contrast protein adsorption and, hence, cell attachment has been developed. Surface functionalization is based on selective molecular-assembly patterning (SMAP). An amine-terminated self-assembled monolayer is used to define areas of cell adhesion. A protein-repellent grafted copolymer, poly(l-lysine)-graft-poly(ethylene glycol) (PLL-g-PEG), is used to render the surrounding silicon dioxide resistant to protein adsorption. X-ray photoelectron spectroscopy, scanning ellipsometry and fluorescence microscopy techniques were used to monitor the individual steps of the patterning process. Successful guided growth using these layers is demonstrated with primary neonatal rat cardiomyocytes, up to 4 days in vitro, and with the HL-1 cardiomyocyte cell line, up to 7 days in vitro. The advantage of the presented method is that high-resolution engineered surfaces can be realized using a simple, cost-effective, dip-and-rinse process. The technique has been developed for application on a CMOS cell-based biosensor, which comprises an array of microelectrodes to extracellularly record electrical activity from cardiomyocytes. Close http://www.sciencedirect.com/science/article/pii/S095656630600282X?via%3Dihub doi:10.1016/j.bios.2006.06.031 Close
	Heer, Flavio; Hafizovic, Sadik; Franks, Wendy; Blau, Axel; Ziegler, Christiane; Hierlemann, Andreas CMOS microelectrode array for bidirectional interaction with neuronal networks Journal Article IEEE Journal of Solid-State Circuits, 41 (7), pp. 1620-1629, 2006, ISSN: 0018-9200. Abstract \| Links \| BibTeX \| Tags: 2D Neuronal Culture, ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation @article{Heer2006, title = {CMOS microelectrode array for bidirectional interaction with neuronal networks}, author = {Flavio Heer and Sadik Hafizovic and Wendy Franks and Axel Blau and Christiane Ziegler and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/1644873/}, doi = {10.1109/JSSC.2006.873677}, issn = {0018-9200}, year = {2006}, date = {2006-07-07}, journal = {IEEE Journal of Solid-State Circuits}, volume = {41}, number = {7}, pages = {1620-1629}, abstract = {A CMOS metal-electrode-based micro system for bidirectional communication (stimulation and recording) with neuronal cells in vitro is presented. The chip overcomes the interconnect challenge that limits today's bidirectional microelectrode arrays. The microsystem has been fabricated in an industrial CMOS technology with several post-CMOS processing steps to realize 128 biocompatible electrodes and to ensure chip stability in physiological saline. The system comprises all necessary control circuitry and on-chip A/D and D/A conversion. A modular design has been implemented, where individual stimulation- and signal-conditioning circuitry units are associated with each electrode. Stimulation signals with a resolution of 8 bits can be sent to any subset of electrodes at a rate of 60 kHz, while all electrodes of the chip are continuously sampled at a rate of 20 kHz. The circuitry at each electrode can be individually reset to its operating point in order to suppress artifacts evoked by the stimulation pulses. Biological measurements from cultured neuronal networks originating from dissociated cortical tissue of fertilized chicken eggs with amplitudes of up to 500 muVpp are presented.}, keywords = {2D Neuronal Culture, ETH-CMOS-MEA, MEA Technology, Neuronal Networks, Stimulation}, pubstate = {published}, tppubtype = {article} } Close A CMOS metal-electrode-based micro system for bidirectional communication (stimulation and recording) with neuronal cells in vitro is presented. The chip overcomes the interconnect challenge that limits today's bidirectional microelectrode arrays. The microsystem has been fabricated in an industrial CMOS technology with several post-CMOS processing steps to realize 128 biocompatible electrodes and to ensure chip stability in physiological saline. The system comprises all necessary control circuitry and on-chip A/D and D/A conversion. A modular design has been implemented, where individual stimulation- and signal-conditioning circuitry units are associated with each electrode. Stimulation signals with a resolution of 8 bits can be sent to any subset of electrodes at a rate of 60 kHz, while all electrodes of the chip are continuously sampled at a rate of 20 kHz. The circuitry at each electrode can be individually reset to its operating point in order to suppress artifacts evoked by the stimulation pulses. Biological measurements from cultured neuronal networks originating from dissociated cortical tissue of fertilized chicken eggs with amplitudes of up to 500 muVpp are presented. Close http://ieeexplore.ieee.org/document/1644873/ doi:10.1109/JSSC.2006.873677 Close
	Linder, Vincent; Koster, Sander; Franks, Wendy; Kraus, Tobias; Verpoorte, Elisabeth; Heer, Flavio; Hierlemann, Andreas; de Rooij, Nico F Microfluidics/CMOS orthogonal capabilities for cell biology Journal Article Biomedical Microdevices, 8 (2), pp. 159-166, 2006, ISSN: 1572-8781. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Linder2006, title = {Microfluidics/CMOS orthogonal capabilities for cell biology}, author = {Vincent Linder and Sander Koster and Wendy Franks and Tobias Kraus and Elisabeth Verpoorte and Flavio Heer and Andreas Hierlemann and Nico F de Rooij}, url = {https://link.springer.com/article/10.1007%2Fs10544-006-7711-9}, doi = {10.1007/s10544-006-7711-9}, issn = {1572-8781}, year = {2006}, date = {2006-06-01}, journal = {Biomedical Microdevices}, volume = {8}, number = {2}, pages = {159-166}, abstract = {The study of individual cells and cellular networks can greatly benefit from the capabilities of microfabricated devices for the stimulation and the recording of electrical cellular events. In this contribution, we describe the development of a device, which combines capabilities for both electrical and pharmacological cell stimulation, and the subsequent recording of electrical cellular activity. The device combines the unique advantages of integrated circuitry (CMOS technology) for signal processing and microfluidics for drug delivery. Both techniques are ideally suited to study electrogenic mammalian cells, because feature sizes are of the same order as the cell diameter, ∼50 mum. Despite these attractive features, we observe a size mismatch between microfluidic devices, with bulky fluidic connections to the outside world, and highly miniaturized CMOS chips. To overcome this problem, we developed a microfluidic flow cell that accommodates a small CMOS chip. We simulated the performances of a flow cell based on a 3-D microfluidic system, and then fabricated the device to experimentally verify the nutrient delivery and localized drug delivery performance. The flow-cell has a constant nutrient flow, and six drug inlets that can individually deliver a drug to the cells. The experimental analysis of the nutrient and drug flow mass transfer properties in the flowcell are in good agreement with our simulations. For an experimental proof-of-principle, we successfully delivered, in a spatially resolved manner, a `drug' to a culture of HL-1 cardiac myocytes.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close The study of individual cells and cellular networks can greatly benefit from the capabilities of microfabricated devices for the stimulation and the recording of electrical cellular events. In this contribution, we describe the development of a device, which combines capabilities for both electrical and pharmacological cell stimulation, and the subsequent recording of electrical cellular activity. The device combines the unique advantages of integrated circuitry (CMOS technology) for signal processing and microfluidics for drug delivery. Both techniques are ideally suited to study electrogenic mammalian cells, because feature sizes are of the same order as the cell diameter, ∼50 mum. Despite these attractive features, we observe a size mismatch between microfluidic devices, with bulky fluidic connections to the outside world, and highly miniaturized CMOS chips. To overcome this problem, we developed a microfluidic flow cell that accommodates a small CMOS chip. We simulated the performances of a flow cell based on a 3-D microfluidic system, and then fabricated the device to experimentally verify the nutrient delivery and localized drug delivery performance. The flow-cell has a constant nutrient flow, and six drug inlets that can individually deliver a drug to the cells. The experimental analysis of the nutrient and drug flow mass transfer properties in the flowcell are in good agreement with our simulations. For an experimental proof-of-principle, we successfully delivered, in a spatially resolved manner, a `drug' to a culture of HL-1 cardiac myocytes. Close https://link.springer.com/article/10.1007%2Fs10544-006-7711-9 doi:10.1007/s10544-006-7711-9 Close
	Kraus, Tobias; Verpoorte, Elisabeth; Linder, Vincent; Franks, Wendy; Hierlemann, Andreas; Heer, Flavio; Hafizovic, Sadik; Fujii, Teruo; de Rooij, Nico F; Koster, Sander Characterization of a microfluidic dispensing system for localised stimulation of cellular networks Journal Article Lab Chip, 6 (2), pp. 218-229, 2006. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA @article{Koster2006, title = {Characterization of a microfluidic dispensing system for localised stimulation of cellular networks}, author = {Tobias Kraus and Elisabeth Verpoorte and Vincent Linder and Wendy Franks and Andreas Hierlemann and Flavio Heer and Sadik Hafizovic and Teruo Fujii and Nico F de Rooij and Sander Koster}, url = {http://pubs.rsc.org/en/Content/ArticleLanding/2006/LC/b511768b#!divAbstract}, doi = {10.1039/B511768B}, year = {2006}, date = {2006-01-04}, journal = {Lab Chip}, volume = {6}, number = {2}, pages = {218-229}, publisher = {The Royal Society of Chemistry}, abstract = {We present a 3-D microfluidic device designed for localized drug delivery to cellular networks. The device features a flow cell comprising a main channel for nutrient delivery as well as multiple channels for drug delivery. This device is one key component of a larger, fully integrated system now under development, based upon a microelectrode array (MEA) with on-chip CMOS circuitry for recording and stimulation of electrogenic cells (e.g. neurons, cardiomyocytes). As a critical system unit, the microfluidics must be carefully designed and characterized to ensure that candidate drugs are delivered to specific regions of the culture at known concentrations. Furthermore, microfluidic design and functionality is dictated by the size, geometry, and material/electrical characteristics of the CMOS MEA. Therefore, this paper reports on the design considerations and fabrication of the flow cell, including theoretical and experimental analysis of the mass transfer properties of the nutrient and drug flows, which are in good agreement with one another. To demonstrate proof of concept, the flow cell was mounted on a dummy CMOS chip, which had been plated with HL-1 cardiomyocytes. A test chemical compound was delivered to the cell culture in a spatially resolved manner. Envisioned applications of this stand-alone system include simultaneous toxicological testing of multiple compounds and chemical stimulation of natural neural networks for neuroscience investigations}, keywords = {Cardiomyocytes, ETH-CMOS-MEA}, pubstate = {published}, tppubtype = {article} } Close We present a 3-D microfluidic device designed for localized drug delivery to cellular networks. The device features a flow cell comprising a main channel for nutrient delivery as well as multiple channels for drug delivery. This device is one key component of a larger, fully integrated system now under development, based upon a microelectrode array (MEA) with on-chip CMOS circuitry for recording and stimulation of electrogenic cells (e.g. neurons, cardiomyocytes). As a critical system unit, the microfluidics must be carefully designed and characterized to ensure that candidate drugs are delivered to specific regions of the culture at known concentrations. Furthermore, microfluidic design and functionality is dictated by the size, geometry, and material/electrical characteristics of the CMOS MEA. Therefore, this paper reports on the design considerations and fabrication of the flow cell, including theoretical and experimental analysis of the mass transfer properties of the nutrient and drug flows, which are in good agreement with one another. To demonstrate proof of concept, the flow cell was mounted on a dummy CMOS chip, which had been plated with HL-1 cardiomyocytes. A test chemical compound was delivered to the cell culture in a spatially resolved manner. Envisioned applications of this stand-alone system include simultaneous toxicological testing of multiple compounds and chemical stimulation of natural neural networks for neuroscience investigations Close http://pubs.rsc.org/en/Content/ArticleLanding/2006/LC/b511768b#!divAbstract doi:10.1039/B511768B Close
2005
	Heer, F; Hafizovic, S; Franks, W; Ugniwenko, T; Blau, A; Ziegler, C; Hierlemann, A Fully integrated 128-electrode CMOS chip for bidirectional interaction with electrogenic cells Conference The 19th European Conference on Solid-State Transducers (Eurosensors XIX) 2005. Abstract \| Links \| BibTeX \| Tags: Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Primary Neuronal Cell Culture, Spike Sorting, Stimulation @conference{Heer2005, title = {Fully integrated 128-electrode CMOS chip for bidirectional interaction with electrogenic cells}, author = {F. Heer and S. Hafizovic and W. Franks and T. Ugniwenko and A. Blau and C. Ziegler and A. Hierlemann}, url = {https://www.semanticscholar.org/paper/Fully-integrated-128-electrode-CMOS-chip-for-with-Heer-Hafizovic/44dfb518f4cf9ab24a860aa5f8e05c72f67e0e80#extracted}, year = {2005}, date = {2005-09-11}, organization = {The 19th European Conference on Solid-State Transducers (Eurosensors XIX)}, abstract = {A monolithic CMOS microelectrode array (MEA) for stimulation and recording of electrogenic cells is presented. The chip features addressability of an arbitrary electrode subset for stimulation, complete on-chip signal conditioning and A/D conversion. The array has been fabricated using an industrial 0.6 -μm, 5-V CMOS technology with a 2-mask post-CMOS processing. Measurements from neuronal and cardiac cells are presented.}, keywords = {Cardiomyocytes, ETH-CMOS-MEA, HD-MEA, MEA Technology, Primary Neuronal Cell Culture, Spike Sorting, Stimulation}, pubstate = {published}, tppubtype = {conference} } Close A monolithic CMOS microelectrode array (MEA) for stimulation and recording of electrogenic cells is presented. The chip features addressability of an arbitrary electrode subset for stimulation, complete on-chip signal conditioning and A/D conversion. The array has been fabricated using an industrial 0.6 -μm, 5-V CMOS technology with a 2-mask post-CMOS processing. Measurements from neuronal and cardiac cells are presented. Close https://www.semanticscholar.org/paper/Fully-integrated-128-electrode-CMOS-chip-f[...] Close
	Franks, Wendy; Schenker, Iwan; Schmutz, Patrik; Hierlemann, Andreas Impedance characterization and modeling of electrodes for biomedical applications Journal Article IEEE Transactions on Biomedical Engineering, 52 (7), pp. 1295-1302, 2005, ISSN: 00189294. Abstract \| Links \| BibTeX \| Tags: MEA Technology @article{Franks2005, title = {Impedance characterization and modeling of electrodes for biomedical applications}, author = {Wendy Franks and Iwan Schenker and Patrik Schmutz and Andreas Hierlemann}, url = {http://ieeexplore.ieee.org/document/1440608/}, doi = {10.1109/TBME.2005.847523}, issn = {00189294}, year = {2005}, date = {2005-06-13}, journal = {IEEE Transactions on Biomedical Engineering}, volume = {52}, number = {7}, pages = {1295-1302}, abstract = {A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 mu m2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations.}, keywords = {MEA Technology}, pubstate = {published}, tppubtype = {article} } Close A low electrode-electrolyte impedance interface is critical in the design of electrodes for biomedical applications. To design low-impedance interfaces a complete understanding of the physical processes contributing to the impedance is required. In this work a model describing these physical processes is validated and extended to quantify the effect of organic coatings and incubation time. Electrochemical impedance spectroscopy has been used to electrically characterize the interface for various electrode materials: platinum, platinum black, and titanium nitride; and varying electrode sizes: 1 cm2, and 900 mu m2. An equivalent circuit model comprising an interface capacitance, shunted by a charge transfer resistance, in series with the solution resistance has been fitted to the experimental results. Theoretical equations have been used to calculate the interface capacitance impedance and the solution resistance, yielding results that correspond well with the fitted parameter values, thereby confirming the validity of the equations. The effect of incubation time, and two organic cell-adhesion promoting coatings, poly-L-lysine and laminin, on the interface impedance has been quantified using the model. This demonstrates the benefits of using this model in developing better understanding of the physical processes occurring at the interface in more complex, biomedically relevant situations. Close http://ieeexplore.ieee.org/document/1440608/ doi:10.1109/TBME.2005.847523 Close
2004
	Jenkner, Martin; Tartagni, Marco; Hierlemann, Andreas; Thewes, Roland Cell-based CMOS sensor and actuator arrays Journal Article IEEE Journal of Solid-State Circuits, 39 (12), pp. 2431-2437, 2004, ISSN: 00189200. Abstract \| Links \| BibTeX \| Tags: MEA Technology, Review @article{Jenkner2004, title = {Cell-based CMOS sensor and actuator arrays}, author = {Martin Jenkner and Marco Tartagni and Andreas Hierlemann and Roland Thewes}, url = {http://ieeexplore.ieee.org/document/1362853/}, doi = {10.1109/JSSC.2004.837082}, issn = {00189200}, year = {2004}, date = {2004-11-30}, journal = {IEEE Journal of Solid-State Circuits}, volume = {39}, number = {12}, pages = {2431-2437}, abstract = {In recent years, increasing knowledge about in vitro cell handling and culturing has encouraged a variety of CMOS-based approaches to stimulate and detect electrical activity of biological cells. This paper outlines in a topical review the scope of cell-based biosensors and actuators for in vitro applications ranging from single-cell detection to multisite probing of complex neural tissue. Recent examples are selected to demonstrate how standard CMOS processes have been used to engineer arrays with different functionality.}, keywords = {MEA Technology, Review}, pubstate = {published}, tppubtype = {article} } Close In recent years, increasing knowledge about in vitro cell handling and culturing has encouraged a variety of CMOS-based approaches to stimulate and detect electrical activity of biological cells. This paper outlines in a topical review the scope of cell-based biosensors and actuators for in vitro applications ranging from single-cell detection to multisite probing of complex neural tissue. Recent examples are selected to demonstrate how standard CMOS processes have been used to engineer arrays with different functionality. Close http://ieeexplore.ieee.org/document/1362853/ doi:10.1109/JSSC.2004.837082 Close
	Heer, Flavio; Franks, Wendy; Blau, Axel; Taschini, S; Ziegler, Christiane; Hierlemann, Andreas; Baltes, Henry CMOS microelectrode array for the monitoring of electrogenic cells Journal Article Biosensors & Bioelectronics, 20 (2), pp. 358-366, 2004, ISSN: 0956-5663. Abstract \| Links \| BibTeX \| Tags: ETH-CMOS-MEA, MEA Technology @article{Baltes2004, title = {CMOS microelectrode array for the monitoring of electrogenic cells}, author = {Flavio Heer and Wendy Franks and Axel Blau and S Taschini and Christiane Ziegler and Andreas Hierlemann and Henry Baltes}, url = {http://www.sciencedirect.com/science/article/pii/S0956566304000806?via%3Dihub}, doi = {10.1016/j.bios.2004.02.006}, issn = {0956-5663}, year = {2004}, date = {2004-03-19}, journal = {Biosensors & Bioelectronics}, volume = {20}, number = {2}, pages = {358-366}, abstract = {Signal degradation and an array size dictated by the number of available interconnects are the two main limitations inherent to standalone microelectrode arrays (MEAs). A new biochip consisting of an array of microelectrodes with fully-integrated analog and digital circuitry realized in an industrial CMOS process addresses these issues. The device is capable of on-chip signal filtering for improved signal-to-noise ratio (SNR), on-chip analog and digital conversion, and multiplexing, thereby facilitating simultaneous stimulation and recording of electrogenic cell activity. The designed electrode pitch of 250 mu m significantly limits the space available for circuitry: a repeated unit of circuitry associated with each electrode comprises a stimulation buffer and a bandpass filter for readout. The bandpass filter has corner frequencies of 100 Hz and 50 kHz, and a gain of 1000. Stimulation voltages are generated from an 8-bit digital signal and converted to an analog signal at a frequency of 120 kHz. Functionality of the read-out circuitry is demonstrated by the measurement of cardiomyocyte activity. The microelectrode is realized in a shifted design for flexibility and biocompatibility. Several microelectrode materials (platinum, platinum black and titanium nitride) have been electrically characterized. An equivalent circuit model, where each parameter represents a macroscopic physical quantity contributing to the interface impedance, has been successfully fitted to experimental results.}, keywords = {ETH-CMOS-MEA, MEA Technology}, pubstate = {published}, tppubtype = {article} } Close Signal degradation and an array size dictated by the number of available interconnects are the two main limitations inherent to standalone microelectrode arrays (MEAs). A new biochip consisting of an array of microelectrodes with fully-integrated analog and digital circuitry realized in an industrial CMOS process addresses these issues. The device is capable of on-chip signal filtering for improved signal-to-noise ratio (SNR), on-chip analog and digital conversion, and multiplexing, thereby facilitating simultaneous stimulation and recording of electrogenic cell activity. The designed electrode pitch of 250 mu m significantly limits the space available for circuitry: a repeated unit of circuitry associated with each electrode comprises a stimulation buffer and a bandpass filter for readout. The bandpass filter has corner frequencies of 100 Hz and 50 kHz, and a gain of 1000. Stimulation voltages are generated from an 8-bit digital signal and converted to an analog signal at a frequency of 120 kHz. Functionality of the read-out circuitry is demonstrated by the measurement of cardiomyocyte activity. The microelectrode is realized in a shifted design for flexibility and biocompatibility. Several microelectrode materials (platinum, platinum black and titanium nitride) have been electrically characterized. An equivalent circuit model, where each parameter represents a macroscopic physical quantity contributing to the interface impedance, has been successfully fitted to experimental results. Close http://www.sciencedirect.com/science/article/pii/S0956566304000806?via%3Dihub doi:10.1016/j.bios.2004.02.006 Close
2003
	Franks, W; Heer, F; I., McKay; Taschini, S; Sunier, R; Hagleitner, C; Hierlemann, A; Baltes, H CMOS monolithic microelectrode array for stimulation and recording of natural neural networks Conference IEEE International Solid-State Sensors and Actuators Conference 2003. Abstract \| Links \| BibTeX \| Tags: Action Potential, ETH-CMOS-MEA, MEA Technology, Stimulation @conference{Franks2003, title = {CMOS monolithic microelectrode array for stimulation and recording of natural neural networks}, author = {W. Franks and F. Heer and McKay I. and S. Taschini and R. Sunier and C. Hagleitner and A. Hierlemann and H. Baltes}, url = {http://ieeexplore.ieee.org/document/1216927/}, doi = {10.1109/SENSOR.2003.1216927}, year = {2003}, date = {2003-06-08}, organization = {IEEE International Solid-State Sensors and Actuators Conference}, abstract = {An array of platinum electrodes has been integrated with analog and digital circuitry in standard CMOS technology for stimulation and recording of natural neural networks. The array utilizes a shifted electrode design that has been electrically characterized and modeled. The electrode and its circuitry form a repeatable unit, which can be multiplied to achieve a larger array. Each circuitry unit contains a buffer for stimulation and a bandpass filter for readout. In contrast tn traditional electrode arrays used for measuring action potentials [I-61, this device is capable of on-chip signal filtering, improving the signal to noise ratio (SNR), on-chip analog to digital conversion (preventing further signal degradation), and simultaneous recording and stimulation.}, keywords = {Action Potential, ETH-CMOS-MEA, MEA Technology, Stimulation}, pubstate = {published}, tppubtype = {conference} } Close An array of platinum electrodes has been integrated with analog and digital circuitry in standard CMOS technology for stimulation and recording of natural neural networks. The array utilizes a shifted electrode design that has been electrically characterized and modeled. The electrode and its circuitry form a repeatable unit, which can be multiplied to achieve a larger array. Each circuitry unit contains a buffer for stimulation and a bandpass filter for readout. In contrast tn traditional electrode arrays used for measuring action potentials [I-61, this device is capable of on-chip signal filtering, improving the signal to noise ratio (SNR), on-chip analog to digital conversion (preventing further signal degradation), and simultaneous recording and stimulation. Close http://ieeexplore.ieee.org/document/1216927/ doi:10.1109/SENSOR.2003.1216927 Close

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