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

Open access
Date
2020-12Type
- Journal Article
Citations
Cited 24 times in
Web of Science
Cited 28 times in
Scopus
ETH Bibliography
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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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000444057Publication status
publishedExternal links
Journal / series
Nature CommunicationsVolume
Pages / Article No.
Publisher
Nature Publishing GroupOrganisational unit
03684 - Hierlemann, Andreas / Hierlemann, Andreas
Funding
875609 - HD-MEA-based Neuronal Assays and Network Analysis for Phenotypic Drug Screenings (EC)
694829 - Microtechnology and integrated microsystems to investigate neuronal networks across scales (EC)
188910 - Deciphering Neuronal Networks: Advancing Technology and Model Systems (SNF)
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Show all metadata
Citations
Cited 24 times in
Web of Science
Cited 28 times in
Scopus
ETH Bibliography
yes
Altmetrics