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Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy
Quantitative volumetric fluorescence imaging at high speed across a long term is vital to understand various cellular and subcellular behaviors in living organisms. Light-field microscopy provides a compact computational solution by imaging the entire volume in a tomographic way, while facing severe...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568979/ https://www.ncbi.nlm.nih.gov/pubmed/34737278 http://dx.doi.org/10.1038/s41467-021-26730-w |
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author | Zhang, Yi Lu, Zhi Wu, Jiamin Lin, Xing Jiang, Dong Cai, Yeyi Xie, Jiachen Wang, Yuling Zhu, Tianyi Ji, Xiangyang Dai, Qionghai |
author_facet | Zhang, Yi Lu, Zhi Wu, Jiamin Lin, Xing Jiang, Dong Cai, Yeyi Xie, Jiachen Wang, Yuling Zhu, Tianyi Ji, Xiangyang Dai, Qionghai |
author_sort | Zhang, Yi |
collection | PubMed |
description | Quantitative volumetric fluorescence imaging at high speed across a long term is vital to understand various cellular and subcellular behaviors in living organisms. Light-field microscopy provides a compact computational solution by imaging the entire volume in a tomographic way, while facing severe degradation in scattering tissue or densely-labelled samples. To address this problem, we propose an incoherent multiscale scattering model in a complete space for quantitative 3D reconstruction in complicated environments, which is called computational optical sectioning. Without the requirement of any hardware modifications, our method can be generally applied to different light-field schemes with reduction in background fluorescence, reconstruction artifacts, and computational costs, facilitating more practical applications of LFM in a broad community. We validate the superior performance by imaging various biological dynamics in Drosophila embryos, zebrafish larvae, and mice. |
format | Online Article Text |
id | pubmed-8568979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85689792021-11-15 Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy Zhang, Yi Lu, Zhi Wu, Jiamin Lin, Xing Jiang, Dong Cai, Yeyi Xie, Jiachen Wang, Yuling Zhu, Tianyi Ji, Xiangyang Dai, Qionghai Nat Commun Article Quantitative volumetric fluorescence imaging at high speed across a long term is vital to understand various cellular and subcellular behaviors in living organisms. Light-field microscopy provides a compact computational solution by imaging the entire volume in a tomographic way, while facing severe degradation in scattering tissue or densely-labelled samples. To address this problem, we propose an incoherent multiscale scattering model in a complete space for quantitative 3D reconstruction in complicated environments, which is called computational optical sectioning. Without the requirement of any hardware modifications, our method can be generally applied to different light-field schemes with reduction in background fluorescence, reconstruction artifacts, and computational costs, facilitating more practical applications of LFM in a broad community. We validate the superior performance by imaging various biological dynamics in Drosophila embryos, zebrafish larvae, and mice. Nature Publishing Group UK 2021-11-04 /pmc/articles/PMC8568979/ /pubmed/34737278 http://dx.doi.org/10.1038/s41467-021-26730-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhang, Yi Lu, Zhi Wu, Jiamin Lin, Xing Jiang, Dong Cai, Yeyi Xie, Jiachen Wang, Yuling Zhu, Tianyi Ji, Xiangyang Dai, Qionghai Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title | Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title_full | Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title_fullStr | Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title_full_unstemmed | Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title_short | Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
title_sort | computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568979/ https://www.ncbi.nlm.nih.gov/pubmed/34737278 http://dx.doi.org/10.1038/s41467-021-26730-w |
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