Evidence map›Paper›PMID 38806501›Full record

ArticleLight, science & applications2024

Ultra-high spatio-temporal resolution imaging with parallel acquisition-readout structured illumination microscopy (PAR-SIM).

Xinzhu Xu, Wenyi Wang, Liang Qiao, Yunzhe Fu, Xichuan Ge, Kun Zhao, Karl Zhanghao, Meiling Guan, Xin Chen, Meiqi Li and 2 more

Abstract read
In one paragraph

Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
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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

12 authors.

Xinzhu Xu *Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-2302-2053
Wenyi Wang *Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0002-9843-7424
Liang QiaoDepartment of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
Yunzhe FuDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Xichuan GeAiry Technologies Co., Ltd., Beijing, 100086, China.
Kun ZhaoDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Karl ZhanghaoDepartment of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.ORCID http://orcid.org/0000-0002-8331-6240
Meiling GuanDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Xin ChenDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Meiqi LiNational Biomedical Imaging Center, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-3586-176X
Dayong JinDepartment of Biomedical Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China. Dayong.Jin@uts.edu.au.ORCID http://orcid.org/0000-0003-1046-2666
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

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) National Key R&D Program of China: 2022YFC3401100National Natural Science Foundation of China (National Science Foundation of China) 62025501National Natural Science Foundation of China (National Science Foundation of China) 62335008
6 · The paper itself

Abstract

Structured illumination microscopy (SIM) has emerged as a promising super-resolution fluorescence imaging technique, offering diverse configurations and computational strategies to mitigate phototoxicity during real-time imaging of biological specimens. Traditional efforts to enhance system frame rates have concentrated on processing algorithms, like rolling reconstruction or reduced frame reconstruction, or on investments in costly sCMOS cameras with accelerated row readout rates. In this article, we introduce an approach to elevate SIM frame rates and region of interest (ROI) coverage at the hardware level, without necessitating an upsurge in camera expenses or intricate algorithms. Here, parallel acquisition-readout SIM (PAR-SIM) achieves the highest imaging speed for fluorescence imaging at currently available detector sensitivity. By using the full frame-width of the detector through synchronizing the pattern generation and image exposure-readout process, we have achieved a fundamentally stupendous information spatial-temporal flux of 132.9 MPixels · s

Identifiers

PMID38806501
PMCPMC11133488

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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.