Evidence map›Paper›PMID 36588110›Full record

ArticleLight, science & applications2023

Tetra-color superresolution microscopy based on excitation spectral demixing.

Wanyan Wu, Shihang Luo, Chunyan Fan, Tianjie Yang, Shuwen Zhang, Wenxiang Meng, Tao Xu, Wei Ji, Lusheng Gu

Abstract read
In one paragraph

Article 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. COChemical science · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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.

Wanyan Wu *Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Shihang Luo *Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Chunyan Fan *State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
Tianjie YangInstitute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Shuwen ZhangInstitute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
Wenxiang MengState Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Innovation Academy for Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
Tao XuInstitute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. xutao@ibp.ac.cn.
Wei JiInstitute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. jiwei@ibp.ac.cn.ORCID http://orcid.org/0000-0002-2317-9053
Lusheng GuInstitute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China. gulusheng@ibp.ac.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31900419National Natural Science Foundation of China (National Science Foundation of China) 91954202Youth Innovation Promotion Association of the Chinese Academy of Sciences (Youth Innovation Promotion Association CAS) 2013066
6 · The paper itself

Abstract

Multicolor imaging allows protein colocalizations and organelle interactions to be studied in biological research, which is especially important for single-molecule localization microscopy (SMLM). Here, we propose a multicolor method called excitation-resolved stochastic optical reconstruction microscopy (ExR-STORM). The method, which is based on the excitation spectrum of fluorescent dyes, successfully separated four spectrally very close far-red organic fluorophores utilizing three excitation lasers with cross-talk of less than 3%. Dyes that are only 5 nm apart in the emission spectrum were resolved, resulting in negligible chromatic aberrations. This method was extended to three-dimensional (3D) imaging by combining the astigmatic method, providing a powerful tool for resolving 3D morphologies at the nanoscale.

Identifiers

PMID36588110
PMCPMC9806106

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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.