Our team will be at FENS and would be happy to meet you!
Booth:
Visit us at booth #703A to learn more about how our HD-MEA systems MaxOne and MaxTwo can further your research.
Poster Presentations:
Friday, June 28th | 14:00 – 17:30 CEST
Dr. Laura D’Ignazio
Senior Key Account Manager Poster Number: PS06-28PM-435
Title | Next-generation Electrophysiology for Functional Characterization of Human Neural Organoids
Abstract | Human induced pluripotent stem cell (hiPSC)-derived neural models have emerged as invaluable tools for studying neurological disorders, such as epilepsy, Alzheimer’s, and Parkinson’s disease.
Real-time, label-free measurement of electrical activity in self-organizing in vitro cellular models provides critical insight into the complexity of their neuronal networks. High-density microelectrode arrays (HD-MEAs) enable non-invasive electrophysiological recordings from various electrogenic samples, including iPSC-derived neurons, retinal explants, brain slices, and neural organoids.
In this study, we used MaxOne and MaxTwo high-density MEA platforms (MaxWell Biosystems AG, Switzerland), with 26,400 electrodes per well, to record extracellular action potentials in neural organoids at different scales, ranging from cell population networks to single-cell resolution and subcellular levels. We showcased the flexible selection of electrodes for recording neural activity, increasing the reproducibility and statistical power of the data collected. Key metrics such as firing rate, spike amplitude, and network burst profile were extrapolated in a parallelized manner to capture even the smallest neuronal signals.
Furthermore, we characterized axonal function and structure using the AxonTracking Assay, which allows measurement of action potential conduction velocity, latency, axonal length, and branching. This automated assay facilitates high-throughput characterization of disease models targeting axon initial segments, axonal branching, development, and conduction.
MaxWell Biosystems’ HD-MEA platforms, along with automatically generated plots and extracted metrics, provide a unique, user-friendly approach to identifying and isolating functionally active regions in 3D cultures. These powerful platforms enable long-term in vitro disease modeling and compound testing in acute recordings and/or longitudinal studies.
Dr. Zhuoliang (Ed) Li
Field Application Scientist Poster Number: PS06-28PM-424
Title | The Importance of High-Density Microelectrode Arrays for Recording Multi-Scale Extracellular Potential and Label-Free Characterization of Network Dynamics in iPSC-Derived Neurons
Abstract | Advances in the development of microelectrode arrays (MEAs) for in-vitro electrophysiological recordings have enabled the characterization of multi-scale behavior in neuronal networks, ranging from subcellular level to network dynamics. Such devices are fundamental for studying the phenotype of neurological disorders and for drug discovery, providing unique insights into the complexity of neuronal networks. Electrode density, spacing, and size influence the signal quality, noise level, and sensitivity. To properly characterize the full behavior of neuronal networks, MEAs must combine single-cell and subcellular resolution with high-throughput assays, while maintaining sensitivity to small extracellular action potentials to describe the full range of network dynamics.
In this study, the MaxOne and MaxTwo high-density (HD) MEA systems (MaxWell Biosystems, Switzerland) were used to record activity from induced pluripotent stem cell derived neurons, demonstrating the advantages of having 26,400 electrodes per well, which is key to increasing the statistical power of data collected longitudinally. HD-MEA recordings were compared with simulated low-density recordings, in which larger, low-density electrodes were mimicked by clustering adjacent electrodes on HD-MEAs. Additionally, the AxonTracking Assay, an automated tool for recording and analyzing individual axonal arbors from many neurons in parallel, was used to characterize the function and axonal structure of recorded cultures.
Results indicated that higher density and smaller electrodes provided greater sensitivity, enabling the detection of smaller spikes, and covering the full spectrum of network behavior. The high-resolution analysis of network dynamics, coupled with the AxonTracking Assay’s subcellular insights, provide powerful insights into drug screening and disease modelling.
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