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

Author

Listed:
  • Xinyue Yuan

    (ETH Zurich)

  • Manuel Schröter

    (ETH Zurich)

  • Marie Engelene J. Obien

    (ETH Zurich
    MaxWell Biosystems AG)

  • Michele Fiscella

    (ETH Zurich
    MaxWell Biosystems AG)

  • Wei Gong

    (ETH Zurich
    MaxWell Biosystems AG)

  • 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
    MaxWell Biosystems AG)

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.

Suggested Citation

  • 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, 2020. "Versatile live-cell activity analysis platform for characterization of neuronal dynamics at single-cell and network level," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-18620-4
    DOI: 10.1038/s41467-020-18620-4
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    Cited by:

    1. Tal Sharf & Tjitse Molen & Stella M. K. Glasauer & Elmer Guzman & Alessio P. Buccino & Gabriel Luna & Zhuowei Cheng & Morgane Audouard & Kamalini G. Ranasinghe & Kiwamu Kudo & Srikantan S. Nagarajan &, 2022. "Functional neuronal circuitry and oscillatory dynamics in human brain organoids," Nature Communications, Nature, vol. 13(1), pages 1-20, December.
    2. Takuya Isomura & Kiyoshi Kotani & Yasuhiko Jimbo & Karl J. Friston, 2023. "Experimental validation of the free-energy principle with in vitro neural networks," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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