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

被引：234

作者：

Zhao, Weisong ^{[1
]}

Zhao, Shiqun ^{[2
]}

Li, Liuju ^{[2
]}

Huang, Xiaoshuai ^{[3
]}

Xing, Shijia ^{[2
]}

Zhang, Yulin ^{[2
]}

Qiu, Guohua ^{[1
]}

Han, Zhenqian ^{[1
]}

Shang, Yingxu ^{[4
]}

Sun, De-En ^{[5
]}

Shan, Chunyan ^{[6
]}

Wu, Runlong ^{[2
]}

Gu, Lusheng ^{[7
]}

Zhang, Shuwen ^{[7
]}

Chen, Riwang ^{[8
]}

Xiao, Jian ^{[9
]}

Mo, Yanquan ^{[2
]}

Wang, Jianyong ^{[8
]}

Ji, Wei ^{[7
]}

Chen, Xing ^{[5
]}

Ding, Baoquan ^{[4
]}

Liu, Yanmei ^{[2
,10
]}

Mao, Heng ^{[11
]}

Song, Bao-Liang ^{[9
]}

Tan, Jiubin ^{[12
,13
]}

Liu, Jian ^{[1
,14
]}

Li, Haoyu ^{[1
,13
,15
]}

Chen, Liangyi ^{[2
,16
,17
]}

机构：

[1] Harbin Inst Technol, Sch Instrumentat Sci & Engn, Adv Microscopy & Instrumentat Res Ctr, Harbin, Peoples R China

[2] Peking Univ, State Key Lab Membrane Biol, Beijing Key Lab Cardiometab Mol Med, Inst Mol Med,Sch Future Technol,Natl Biomed Imagi, Beijing, Peoples R China

[3] Peking Univ, Biomed Engn Dept, Beijing, Peoples R China

[4] Natl Ctr Nanosci & Technol, CAS Ctr Excellence Nanosci, CAS Key Lab Nanosyst & Hierarch Fabricat, Beijing, Peoples R China

[5] Peking Univ, Coll Chem & Mol Engn, Beijing, Peoples R China

[6] Peking Univ, Coll Life Sci, Beijing, Peoples R China

[7] Chinese Acad Sci, CAS Ctr Excellence Biomacromol, Inst Biophys, Natl Lab Biomacromol, Beijing, Peoples R China

[8] Peking Univ, Sch Software & Microelect, Beijing, Peoples R China

[9] Wuhan Univ, Coll Life Sci, Hubei Key Lab Cell Homeostasis, Wuhan, Peoples R China

[10] South China Normal Univ, Inst Brain Res & Rehabil IBRR, Guangdong Key Lab Mental Hlth & Cognit Sci, Guangzhou, Peoples R China

[11] Peking Univ, Sch Math Sci, Beijing, Peoples R China

[12] Harbin Inst Technol, Ctr Ultraprecis Optoelect Instrument Engn, Harbin, Peoples R China

[13] Harbin Inst Technol, Key Lab Ultraprecis Intelligent Instrumentat, Minist Ind & Informat Technol, Harbin, Peoples R China

[14] Harbin Inst Technol, Key Lab Microsyst & Microstruct Mfg, Minist Educ, Harbin, Peoples R China

[15] Harbin Inst Technol, Lab Space Environm & Phys Sci, Harbin, Peoples R China

[16] PKU IDG McGovern Inst Brain Res, Beijing, Peoples R China

[17] Beijing Acad Artificial Intelligence, Beijing, Peoples R China

来源：

NATURE BIOTECHNOLOGY | 2022年 / 40卷 / 04期

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

LOCALIZATION MICROSCOPY; IMAGE; MINIMIZATION; ALGORITHM; ORGANELLE;

D O I：

10.1038/s41587-021-01092-2

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

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 similar to 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 similar to 90-nm resolution. Overall, sparse deconvolution will be useful to increase the spatiotemporal resolution of live-cell fluorescence microscopy.

引用

页码：606 / +

页数：27

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