Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy

Yi Zhang, Zhi Lu, Jiamin Wu (), Xing Lin, Dong Jiang, Yeyi Cai, Jiachen Xie, Yuling Wang, Tianyi Zhu, Xiangyang Ji () and Qionghai Dai ()
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Yi Zhang: Tsinghua University
Zhi Lu: Tsinghua University
Jiamin Wu: Tsinghua University
Xing Lin: Tsinghua University
Dong Jiang: Tsinghua University–Peking University Joint Centre for Life Sciences, Beijing Frontier Research Centre for Biological Structure, School of Life Sciences, Tsinghua University
Yeyi Cai: Tsinghua University
Jiachen Xie: Tsinghua University
Yuling Wang: Tsinghua University
Tianyi Zhu: Tsinghua University
Xiangyang Ji: Tsinghua University
Qionghai Dai: Tsinghua University

Nature Communications, 2021, vol. 12, issue 1, 1-11

Abstract: Abstract 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.

Date: 2021
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DOI: 10.1038/s41467-021-26730-w

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