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Computational optics for high-throughput imaging of neural activity
Optical microscopy offers a noninvasive way to image neural activity in the mouse brain. To simultaneously record neural activity across a large population of neurons, optical systems that have high spatiotemporal resolution and can access a large volume are necessary. The throughput of a system, th...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Society of Photo-Optical Instrumentation Engineers
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122092/ https://www.ncbi.nlm.nih.gov/pubmed/35607516 http://dx.doi.org/10.1117/1.NPh.9.4.041408 |
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author | Xue, Yi |
author_facet | Xue, Yi |
author_sort | Xue, Yi |
collection | PubMed |
description | Optical microscopy offers a noninvasive way to image neural activity in the mouse brain. To simultaneously record neural activity across a large population of neurons, optical systems that have high spatiotemporal resolution and can access a large volume are necessary. The throughput of a system, that is, the number of resolvable spots acquired by the system at a given time, is usually limited by optical hardware. To overcome this limitation, computation optics that designs optical hardware and computer software jointly becomes a new approach that achieves micronscale resolution, millimeter-scale field-of-view, and hundreds of hertz imaging speed at the same time. This review article summarizes recent advances in computational optics for high-throughput imaging of neural activity, highlighting technologies for three-dimensional parallelized excitation and detection. Computational optics can substantially accelerate the study of neural circuits with previously unattainable precision and speed. |
format | Online Article Text |
id | pubmed-9122092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society of Photo-Optical Instrumentation Engineers |
record_format | MEDLINE/PubMed |
spelling | pubmed-91220922022-05-22 Computational optics for high-throughput imaging of neural activity Xue, Yi Neurophotonics Special Section on Computational Approaches for Neuroimaging Optical microscopy offers a noninvasive way to image neural activity in the mouse brain. To simultaneously record neural activity across a large population of neurons, optical systems that have high spatiotemporal resolution and can access a large volume are necessary. The throughput of a system, that is, the number of resolvable spots acquired by the system at a given time, is usually limited by optical hardware. To overcome this limitation, computation optics that designs optical hardware and computer software jointly becomes a new approach that achieves micronscale resolution, millimeter-scale field-of-view, and hundreds of hertz imaging speed at the same time. This review article summarizes recent advances in computational optics for high-throughput imaging of neural activity, highlighting technologies for three-dimensional parallelized excitation and detection. Computational optics can substantially accelerate the study of neural circuits with previously unattainable precision and speed. Society of Photo-Optical Instrumentation Engineers 2022-05-20 2022-10 /pmc/articles/PMC9122092/ /pubmed/35607516 http://dx.doi.org/10.1117/1.NPh.9.4.041408 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. |
spellingShingle | Special Section on Computational Approaches for Neuroimaging Xue, Yi Computational optics for high-throughput imaging of neural activity |
title | Computational optics for high-throughput imaging of neural activity |
title_full | Computational optics for high-throughput imaging of neural activity |
title_fullStr | Computational optics for high-throughput imaging of neural activity |
title_full_unstemmed | Computational optics for high-throughput imaging of neural activity |
title_short | Computational optics for high-throughput imaging of neural activity |
title_sort | computational optics for high-throughput imaging of neural activity |
topic | Special Section on Computational Approaches for Neuroimaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122092/ https://www.ncbi.nlm.nih.gov/pubmed/35607516 http://dx.doi.org/10.1117/1.NPh.9.4.041408 |
work_keys_str_mv | AT xueyi computationalopticsforhighthroughputimagingofneuralactivity |