Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy

A main determinant of the spatial resolution of live-cell super-resolution (SR) microscopes is the maximum photon flux that can be collected. To further increase the effective resolution for a given photon flux, we take advantage of a priori knowledge about the sparsity and continuity of biological...

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Published in:Nature biotechnology Vol. 40; no. 4; pp. 606 - 617
Main Authors: Zhao, Weisong, Zhao, Shiqun, Li, Liuju, Huang, Xiaoshuai, Xing, Shijia, Zhang, Yulin, Qiu, Guohua, Han, Zhenqian, Shang, Yingxu, Sun, De-en, Shan, Chunyan, Wu, Runlong, Gu, Lusheng, Zhang, Shuwen, Chen, Riwang, Xiao, Jian, Mo, Yanquan, Wang, Jianyong, Ji, Wei, Chen, Xing, Ding, Baoquan, Liu, Yanmei, Mao, Heng, Song, Bao-Liang, Tan, Jiubin, Liu, Jian, Li, Haoyu, Chen, Liangyi
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01-04-2022
Nature Publishing Group
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Summary:A main determinant of the spatial resolution of live-cell super-resolution (SR) microscopes is the maximum photon flux that can be collected. To further increase the effective resolution for a given photon flux, we take advantage of a priori knowledge about the sparsity and continuity of biological structures to develop a deconvolution algorithm that increases the resolution of SR microscopes nearly twofold. Our method, sparse structured illumination microscopy (Sparse-SIM), achieves ~60-nm resolution at a frame rate of up to 564 Hz, allowing it to resolve intricate structures, including small vesicular fusion pores, ring-shaped nuclear pores formed by nucleoporins and relative movements of inner and outer mitochondrial membranes in live cells. Sparse deconvolution can also be used to increase the three-dimensional resolution of spinning-disc confocal-based SIM, even at low signal-to-noise ratios, which allows four-color, three-dimensional live-cell SR imaging at ~90-nm resolution. Overall, sparse deconvolution will be useful to increase the spatiotemporal resolution of live-cell fluorescence microscopy. The resolution of fluorescence microscopy is increased by incorporating prior information into deconvolution algorithms.
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ISSN:1087-0156
1546-1696
DOI:10.1038/s41587-021-01092-2