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  • 标题:Ultra-parallel label-free optophysiology of neural activity
  • 本地全文:下载
  • 作者:Rishyashring R. Iyer ; Yuan-Zhi Liu ; Carlos A. Renteria
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:5
  • 页码:1-21
  • DOI:10.1016/j.isci.2022.104307
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryThe electrical activity of neurons has a spatiotemporal footprint that spans three orders of magnitude. Traditional electrophysiology lacks the spatial throughput to image the activity of an entire neural network; besides, labeled optical imaging using voltage-sensitive dyes and tracking Ca2+ion dynamics lack the versatility and speed to capture fast-spiking activity, respectively. We present a label-free optical imaging technique to image the changes to the optical path length and the local birefringence caused by neural activity, at 4,000 Hz, across a 200 × 200 μm2region, and with micron-scale spatial resolution and 300-pm displacement sensitivity using Superfast Polarization-sensitive Off-axis Full-field Optical Coherence Microscopy (SPoOF OCM). The undulations in the optical responses from mammalian neuronal activity were matched with field-potential electrophysiology measurements and validated with channel blockers. By directly tracking the widefield neural activity at millisecond timescales and micrometer resolution, SPoOF OCM provides a framework to progress from low-throughput electrophysiology to high-throughput ultra-parallel label-free optophysiology.Graphical abstractDisplay OmittedHighlights•Changes to birefringence and optical path length are markers of neural activity•SPoOF OCM can capture both changes at 4,000 frames per second•Captures both single-cell and network-level neuronal responses at a millisecond scale•Optical measurements were compared against electrical ones and validated with tetrodotoxinCell biology; Neuroscience; Optical imaging
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