Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level

Xinyue Yuan (), Manuel Schröter, Marie Engelene J. Obien, Michele Fiscella, Wei Gong, Tetsuhiro Kikuchi, Aoi Odawara, Shuhei Noji, Ikuro Suzuki, Jun Takahashi, Andreas Hierlemann and Urs Frey
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Xinyue Yuan: ETH Zurich
Manuel Schröter: ETH Zurich
Marie Engelene J. Obien: ETH Zurich
Michele Fiscella: ETH Zurich
Wei Gong: ETH Zurich
Tetsuhiro Kikuchi: Kyoto University
Aoi Odawara: Tohoku Institute of Technology
Shuhei Noji: Tohoku Institute of Technology
Ikuro Suzuki: Tohoku Institute of Technology
Jun Takahashi: Kyoto University
Andreas Hierlemann: ETH Zurich
Urs Frey: ETH Zurich

Nature Communications, 2020, vol. 11, issue 1, 1-14

Abstract: Abstract Chronic imaging of neuronal networks in vitro has provided fundamental insights into mechanisms underlying neuronal function. Current labeling and optical imaging methods, however, cannot be used for continuous and long-term recordings of the dynamics and evolution of neuronal networks, as fluorescent indicators can cause phototoxicity. Here, we introduce a versatile platform for label-free, comprehensive and detailed electrophysiological live-cell imaging of various neurogenic cells and tissues over extended time scales. We report on a dual-mode high-density microelectrode array, which can simultaneously record in (i) full-frame mode with 19,584 recording sites and (ii) high-signal-to-noise mode with 246 channels. We set out to demonstrate the capabilities of this platform with recordings from primary and iPSC-derived neuronal cultures and tissue preparations over several weeks, providing detailed morpho-electrical phenotypic parameters at subcellular, cellular and network level. Moreover, we develop reliable analysis tools, which drastically increase the throughput to infer axonal morphology and conduction speed.

Date: 2020
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DOI: 10.1038/s41467-020-18620-4

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