Author Showcase
David Jäckel
An Electrical Engineer by training, David became fascinated by the meeting point of neuroscience and technology early in his studies. That led him to pursue a PhD at the Bio Engineering Laboratory of ETH Zurich, where he worked on data analysis and techniques for combining HD-MEAs with patch clamp and microscopy. After graduating and a few years as a consultant, the pull of HD-MEA proved too strong, and David joined the MaxWell team in 2018. As Product Manager for MaxLab Live, he works alongside MaxWell Biosystems software and commercial teams to keep improving our products.
In this work, David is driven by building software users love and exploring how AI is reshaping the way we work. But what he enjoys most are the conversations and interactions with MaxWell users.
When he steps away from the screen, David enjoys playing chess, ice-bathing in Lake Zürich, and spending time with his family.
MaxLab Live 26.1: Advanced Analysis for High-Content Electrophysiology
MaxLab Live 26.1 introduces novel neuronal and cardiac analysis capabilities to help researchers extract deeper insights from HD-MEA recordings. New readouts, parameter-free workflows, and tailored exports simplify analysis from acquisition to downstream comparison.
Application of a high-density microelectrode array assay using a 3D human iPSC-derived brain microphysiological system model for in vitro neurotoxicity screening of environmental compounds
The Axon Initial Segment is the Dominant Contributor to the Neuron's Extracellular Electrical Potential Landscape
Combination of High-density Microelectrode Array and Patch Clamp Recordings to Enable Studies of Multisynaptic Integration
Multiple Single-Unit Long-Term Tracking on Organotypic Hippocampal Slices Using High-Density Microelectrode Arrays
Electrical Identification and Selective Microstimulation of Neuronal Compartments Based on Features of Extracellular Action Potentials
Cortical Axons, Isolated in Channels, Display Activity-Dependent Signal Modulation as a Result of Targeted Stimulation
A method for electrophysiological characterization of hamster retinal ganglion cells using a high-density CMOS microelectrode array
Complexity Optimization and High-Throughput Low-Latency Hardware Implementation of a Multi-Electrode Spike-Sorting Algorithm
A 1024-Channel CMOS Microelectrode Array With 26,400 Electrodes for Recording and Stimulation of Electrogenic Cells In Vitro
High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity
Recording from defined populations of retinal ganglion cells using a high-density CMOS-integrated microelectrode array with real-time switchable electrode selection
Applicability of independent component analysis on high-density microelectrode array recordings
