TY - JOUR
T1 - Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy
AU - Zhao, Weisong
AU - Zhao, Shiqun
AU - Li, Liuju
AU - Huang, Xiaoshuai
AU - Xing, Shijia
AU - Zhang, Yulin
AU - Qiu, Guohua
AU - Han, Zhenqian
AU - Shang, Yingxu
AU - Sun, De en
AU - Shan, Chunyan
AU - Wu, Runlong
AU - Gu, Lusheng
AU - Zhang, Shuwen
AU - Chen, Riwang
AU - Xiao, Jian
AU - Mo, Yanquan
AU - Wang, Jianyong
AU - Ji, Wei
AU - Chen, Xing
AU - Ding, Baoquan
AU - Liu, Yanmei
AU - Mao, Heng
AU - Song, Bao Liang
AU - Tan, Jiubin
AU - Liu, Jian
AU - Li, Haoyu
AU - Chen, Liangyi
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Nature America, Inc.
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85119356693
U2 - 10.1038/s41587-021-01092-2
DO - 10.1038/s41587-021-01092-2
M3 - 文章
C2 - 34782739
AN - SCOPUS:85119356693
SN - 1087-0156
VL - 40
SP - 606
EP - 617
JO - Nature Biotechnology
JF - Nature Biotechnology
IS - 4
ER -