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

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作者
Xinyue Yuan
Manuel Schröter
Marie Engelene J. Obien
Michele Fiscella
Wei Gong
Tetsuhiro Kikuchi
Aoi Odawara
Shuhei Noji
Ikuro Suzuki
Jun Takahashi
Andreas Hierlemann
Urs Frey
机构
[1] ETH Zurich,Department of Biosystems Science and Engineering
[2] MaxWell Biosystems AG,Center for iPS Cell Research and Application (CiRA)
[3] Kyoto University,undefined
[4] Tohoku Institute of Technology,undefined
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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.
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