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Volumetric Imaging of Neural Activity by Light Field Microscopy
Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techni...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723040/ https://www.ncbi.nlm.nih.gov/pubmed/35939199 http://dx.doi.org/10.1007/s12264-022-00923-9 |
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author | Bai, Lu Zhang, Zhenkun Ye, Lichen Cong, Lin Zhao, Yuchen Zhang, Tianlei Shi, Ziqi Wang, Kai |
author_facet | Bai, Lu Zhang, Zhenkun Ye, Lichen Cong, Lin Zhao, Yuchen Zhang, Tianlei Shi, Ziqi Wang, Kai |
author_sort | Bai, Lu |
collection | PubMed |
description | Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in two-photon scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains. |
format | Online Article Text |
id | pubmed-9723040 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Nature Singapore |
record_format | MEDLINE/PubMed |
spelling | pubmed-97230402022-12-07 Volumetric Imaging of Neural Activity by Light Field Microscopy Bai, Lu Zhang, Zhenkun Ye, Lichen Cong, Lin Zhao, Yuchen Zhang, Tianlei Shi, Ziqi Wang, Kai Neurosci Bull Review Recording the highly diverse and dynamic activities in large populations of neurons in behaving animals is crucial for a better understanding of how the brain works. To meet this challenge, extensive efforts have been devoted to developing functional fluorescent indicators and optical imaging techniques to optically monitor neural activity. Indeed, optical imaging potentially has extremely high throughput due to its non-invasive access to large brain regions and capability to sample neurons at high density, but the readout speed, such as the scanning speed in two-photon scanning microscopy, is often limited by various practical considerations. Among different imaging methods, light field microscopy features a highly parallelized 3D fluorescence imaging scheme and therefore promises a novel and faster strategy for functional imaging of neural activity. Here, we briefly review the working principles of various types of light field microscopes and their recent developments and applications in neuroscience studies. We also discuss strategies and considerations of optimizing light field microscopy for different experimental purposes, with illustrative examples in imaging zebrafish and mouse brains. Springer Nature Singapore 2022-08-08 /pmc/articles/PMC9723040/ /pubmed/35939199 http://dx.doi.org/10.1007/s12264-022-00923-9 Text en © Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Bai, Lu Zhang, Zhenkun Ye, Lichen Cong, Lin Zhao, Yuchen Zhang, Tianlei Shi, Ziqi Wang, Kai Volumetric Imaging of Neural Activity by Light Field Microscopy |
title | Volumetric Imaging of Neural Activity by Light Field Microscopy |
title_full | Volumetric Imaging of Neural Activity by Light Field Microscopy |
title_fullStr | Volumetric Imaging of Neural Activity by Light Field Microscopy |
title_full_unstemmed | Volumetric Imaging of Neural Activity by Light Field Microscopy |
title_short | Volumetric Imaging of Neural Activity by Light Field Microscopy |
title_sort | volumetric imaging of neural activity by light field microscopy |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723040/ https://www.ncbi.nlm.nih.gov/pubmed/35939199 http://dx.doi.org/10.1007/s12264-022-00923-9 |
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