Evidence map›Paper›PMID 34737278›Full record

ArticleNature communications2021

Computational optical sectioning with an incoherent multiscale scattering model for light-field microscopy.

Yi Zhang, Zhi Lu, Jiamin Wu, Xing Lin, Dong Jiang, Yeyi Cai, Jiachen Xie, Yuling Wang, Tianyi Zhu, Xiangyang Ji and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Foveated Light-Field Compound Imager.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Light-field deep learning enables high-throughput, scattering-mitigated calcium imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Ultra-fast light-field microscopy with event detection.Light, science & applications · 2024
    Article
  19. Article
  20. 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

11 authors.

Yi Zhang *Department of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0003-1970-9397
Zhi Lu *Department of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0003-3739-8756
Jiamin Wu *Department of Automation, Tsinghua University, 100084, Beijing, China. wujiamin@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3479-1026
Xing LinDepartment of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0003-3170-7554
Dong JiangState Key Laboratory of Membrane Biology, Tsinghua University-Peking University Joint Centre for Life Sciences, Beijing Frontier Research Centre for Biological Structure, School of Life Sciences, Tsinghua University, 100084, Beijing, China.
Yeyi CaiDepartment of Automation, Tsinghua University, 100084, Beijing, China.
Jiachen XieDepartment of Automation, Tsinghua University, 100084, Beijing, China.
Yuling WangDepartment of Automation, Tsinghua University, 100084, Beijing, China.
Tianyi ZhuDepartment of Automation, Tsinghua University, 100084, Beijing, China.ORCID http://orcid.org/0000-0001-8192-6304
Xiangyang JiDepartment of Automation, Tsinghua University, 100084, Beijing, China. xyji@tsinghua.edu.cn.ORCID http://orcid.org/0000-0002-7333-9975
Qionghai DaiDepartment of Automation, Tsinghua University, 100084, Beijing, China. qhdai@tsinghua.edu.cn.ORCID http://orcid.org/0000-0001-7043-3061

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative volumetric fluorescence imaging at high speed across a long term is vital to understand various cellular and subcellular behaviors in living organisms. Light-field microscopy provides a compact computational solution by imaging the entire volume in a tomographic way, while facing severe degradation in scattering tissue or densely-labelled samples. To address this problem, we propose an incoherent multiscale scattering model in a complete space for quantitative 3D reconstruction in complicated environments, which is called computational optical sectioning. Without the requirement of any hardware modifications, our method can be generally applied to different light-field schemes with reduction in background fluorescence, reconstruction artifacts, and computational costs, facilitating more practical applications of LFM in a broad community. We validate the superior performance by imaging various biological dynamics in Drosophila embryos, zebrafish larvae, and mice.

Indexed as

AnimalsEmbryo, NonmammalianImaging, Three-DimensionalLarvaMiceMicroscopy, FluorescenceZebrafish

Identifiers

PMID34737278
PMCPMC8568979

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.