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Ultra-parallel label-free optophysiology of neural activity
The 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 Ca(2+) ion...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114528/ https://www.ncbi.nlm.nih.gov/pubmed/35602935 http://dx.doi.org/10.1016/j.isci.2022.104307 |
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author | Iyer, Rishyashring R. Liu, Yuan-Zhi Renteria, Carlos A. Tibble, Brian E. Choi, Honggu Žurauskas, Mantas Boppart, Stephen A. |
author_facet | Iyer, Rishyashring R. Liu, Yuan-Zhi Renteria, Carlos A. Tibble, Brian E. Choi, Honggu Žurauskas, Mantas Boppart, Stephen A. |
author_sort | Iyer, Rishyashring R. |
collection | PubMed |
description | The 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 Ca(2+) 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 μm(2) region, 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. |
format | Online Article Text |
id | pubmed-9114528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91145282022-05-19 Ultra-parallel label-free optophysiology of neural activity Iyer, Rishyashring R. Liu, Yuan-Zhi Renteria, Carlos A. Tibble, Brian E. Choi, Honggu Žurauskas, Mantas Boppart, Stephen A. iScience Article The 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 Ca(2+) 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 μm(2) region, 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. Elsevier 2022-04-27 /pmc/articles/PMC9114528/ /pubmed/35602935 http://dx.doi.org/10.1016/j.isci.2022.104307 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Iyer, Rishyashring R. Liu, Yuan-Zhi Renteria, Carlos A. Tibble, Brian E. Choi, Honggu Žurauskas, Mantas Boppart, Stephen A. Ultra-parallel label-free optophysiology of neural activity |
title | Ultra-parallel label-free optophysiology of neural activity |
title_full | Ultra-parallel label-free optophysiology of neural activity |
title_fullStr | Ultra-parallel label-free optophysiology of neural activity |
title_full_unstemmed | Ultra-parallel label-free optophysiology of neural activity |
title_short | Ultra-parallel label-free optophysiology of neural activity |
title_sort | ultra-parallel label-free optophysiology of neural activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114528/ https://www.ncbi.nlm.nih.gov/pubmed/35602935 http://dx.doi.org/10.1016/j.isci.2022.104307 |
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