Evidence map›Paper›PMID 33014557›Full record

ArticleBiomedical optics express2020

Virtual single-pixel imaging-based deconvolution method for spatial resolution improvement in wide-field fluorescence microscopy.

Wei Zhang, Siwei Li, Zhigang Yang, Bin Yu, Danying Lin, Jia Xiong, Junle Qu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biomedical optics express, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Wei ZhangCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.ORCID https://orcid.org/0000-0001-6473-0254
Siwei LiCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Zhigang YangCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Bin YuCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.ORCID https://orcid.org/0000-0002-8698-0155
Danying LinCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Jia XiongCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.
Junle QuCenter for Biomedical Photonics & College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deconvolution technique has been widely used in fluorescence microscopy to restore fine structures of biological samples. However, conventional deconvolution methods usually achieve little contrast enhancement in dense structures that have the intervals close to the Rayleigh criterion. Herein, we developed a novel deconvolution method, termed virtual single-pixel imaging (

Identifiers

PMID33014557
PMCPMC7510914

What OpenQuestion holds

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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.