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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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Autor principal: Xue, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
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
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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.
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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
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