Evidence map›Paper›PMID 34782739›Full record

ArticleNature biotechnology2022

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

Weisong Zhao, Shiqun Zhao, Liuju Li, Xiaoshuai Huang, Shijia Xing, Yulin Zhang, Guohua Qiu, Zhenqian Han, Yingxu Shang, De-En Sun and 18 more

Abstract read
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In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 160 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
160citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

160 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Targeting Supramolecular Active Complexes of NaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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100 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors.

Weisong Zhao *Advanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.ORCID http://orcid.org/0000-0002-5969-1956
Shiqun Zhao *State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Liuju Li *State Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Xiaoshuai HuangBiomedical Engineering Department, Peking University, Beijing, China.
Shijia XingState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Yulin ZhangState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.ORCID http://orcid.org/0000-0001-9107-0634
Guohua QiuAdvanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Zhenqian HanAdvanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Yingxu ShangCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.
De-En SunCollege of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-3664-2035
Chunyan ShanCollege of Life Sciences, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-5532-2811
Runlong WuState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Lusheng GuNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Shuwen ZhangNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Riwang ChenSchool of Software and Microelectronics, Peking University, Beijing, China.
Jian XiaoHubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China.
Yanquan MoState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Jianyong WangSchool of Software and Microelectronics, Peking University, Beijing, China.
Wei JiNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Xing ChenCollege of Chemistry and Molecular Engineering, Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-3058-7370
Baoquan DingCAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, China.ORCID http://orcid.org/0000-0003-1095-8872
Yanmei LiuState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China.
Heng MaoSchool of Mathematical Sciences, Peking University, Beijing, China.
Bao-Liang SongHubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan, China.ORCID http://orcid.org/0000-0002-6397-5935
Jiubin TanCenter of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, China.
Jian LiuAdvanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China.
Haoyu LiAdvanced Microscopy and Instrumentation Research Center, School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin, China. lihaoyu@hit.edu.cn.ORCID http://orcid.org/0000-0002-0004-9336
Liangyi ChenState Key Laboratory of Membrane Biology, Beijing Key Laboratory of Cardiometabolic Molecular Medicine, Institute of Molecular Medicine, National Biomedical Imaging Center, School of Future Technology, Peking University, Beijing, China. lychen@pku.edu.cn.ORCID http://orcid.org/0000-0003-1270-7321

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 ~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.

Indexed as

AlgorithmsImaging, Three-DimensionalMicroscopy, Fluorescence

Identifiers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.