Evidence map›Paper›PMID 37433801›Full record

ReviewLight, science & applications2023

Superresolution structured illumination microscopy reconstruction algorithms: a review.

Xin Chen, Suyi Zhong, Yiwei Hou, Ruijie Cao, Wenyi Wang, Dong Li, Qionghai Dai, Donghyun Kim, Peng Xi

Abstract readReview
In one paragraph

Review in Light, science & applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
–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

64 citing papers in PubMed.

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4 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

9 authors.

Xin ChenDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0001-8235-095X
Suyi ZhongDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Yiwei HouDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-5764-2384
Ruijie CaoDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Wenyi WangDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-9843-7424
Dong LiNational Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.
Qionghai DaiDepartment of Automation, Tsinghua University, Beijing, China.
Donghyun KimSchool of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul, 03722, Korea.ORCID http://orcid.org/0000-0003-1960-0527
Peng XiDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China. xipeng@pku.edu.cn.ORCID http://orcid.org/0000-0001-6626-4840

Funding

China Postdoctoral Science Foundation 2021M700243Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFC3401100
6 · The paper itself

Abstract

Structured illumination microscopy (SIM) has become the standard for next-generation wide-field microscopy, offering ultrahigh imaging speed, superresolution, a large field-of-view, and long-term imaging. Over the past decade, SIM hardware and software have flourished, leading to successful applications in various biological questions. However, unlocking the full potential of SIM system hardware requires the development of advanced reconstruction algorithms. Here, we introduce the basic theory of two SIM algorithms, namely, optical sectioning SIM (OS-SIM) and superresolution SIM (SR-SIM), and summarize their implementation modalities. We then provide a brief overview of existing OS-SIM processing algorithms and review the development of SR-SIM reconstruction algorithms, focusing primarily on 2D-SIM, 3D-SIM, and blind-SIM. To showcase the state-of-the-art development of SIM systems and assist users in selecting a commercial SIM system for a specific application, we compare the features of representative off-the-shelf SIM systems. Finally, we provide perspectives on the potential future developments of SIM.

Identifiers

PMID37433801
PMCPMC10336069

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Registered trials

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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.