| Title | Sparse deconvolution improves the resolution of live-cell super-resolution fluorescence microscopy |
| 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 |
| Affiliation | Harbin Inst Technol, Sch Instrumentat Sci & Engn, Adv Microscopy & Instrumentat Res Ctr, Harbin, Peoples R China 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 Peking Univ, Biomed Engn Dept, Beijing, Peoples R China Natl Ctr Nanosci & Technol, CAS Ctr Excellence Nanosci, CAS Key Lab Nanosyst & Hierarch Fabricat, Beijing, Peoples R China Peking Univ, Coll Chem & Mol Engn, Beijing, Peoples R China Peking Univ, Coll Life Sci, Beijing, Peoples R China Chinese Acad Sci, CAS Ctr Excellence Biomacromol, Inst Biophys, Natl Lab Biomacromol, Beijing, Peoples R China Peking Univ, Sch Software & Microelect, Beijing, Peoples R China Wuhan Univ, Coll Life Sci, Hubei Key Lab Cell Homeostasis, Wuhan, Peoples R China South China Normal Univ, Inst Brain Res & Rehabil IBRR, Guangdong Key Lab Mental Hlth & Cognit Sci, Guangzhou, Peoples R China Peking Univ, Sch Math Sci, Beijing, Peoples R China Harbin Inst Technol, Ctr Ultraprecis Optoelect Instrument Engn, Harbin, Peoples R China Harbin Inst Technol, Key Lab Ultraprecis Intelligent Instrumentat, Minist Ind & Informat Technol, Harbin, Peoples R China Harbin Inst Technol, Key Lab Microsyst & Microstruct Mfg, Minist Educ, Harbin, Peoples R China Harbin Inst Technol, Lab Space Environm & Phys Sci, Harbin, Peoples R China PKU IDG McGovern Inst Brain Res, Beijing, Peoples R China Beijing Acad Artificial Intelligence, Beijing, Peoples R China |
| Keywords | LOCALIZATION MICROSCOPY IMAGE MINIMIZATION ALGORITHM ORGANELLE |
| Issue Date | Nov-2021 |
| Publisher | NATURE BIOTECHNOLOGY |
| Abstract | 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. |
| URI | http://hdl.handle.net/20.500.11897/629445 |
| ISSN | 1087-0156 |
| DOI | 10.1038/s41587-021-01092-2 |
| Indexed | SCI(E) |
| Appears in Collections: | 分子医学研究所 膜生物学国家重点实验室 å å¦ä¸ å å å·¥ç¨ å¦é ¢ 生命科学学院 软件与微电子学院 数学科学学院 |
