Evidence map›Paper›PMID 40271047›Full record

ArticleMethodsX2025

Histogram-based analysis for confocal microscope images with immunofluorescent staining: A graphical-user-interface tool.

Xiuli Yang, Yuguo Li, Zhiliang Wei

Abstract read
In one paragraph

Article in MethodsX, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Longitudinal MRI Characterization of TNMR in biomedicine · 2026
    Article
  3. 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

3 authors.

Xiuli YangDepartment of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, United States.
Yuguo LiDepartment of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, United States.
Zhiliang WeiDepartment of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, United States.

Funding

Pathophysiological mechanisms of hypoperfusion in mouse models of Alzheimer?s disease and small vessel diseaseR01AG081932 · NIA · JOHNS HOPKINS UNIVERSITY · PI Zhiliang Wei · 2023 to 2026
$2.1M
NIA NIH HHS R01 AG081932
6 · The paper itself

Abstract

Immunofluorescent staining is widely utilized in biomedical research. However, reliable and reproducible quantification remains challenging and often depend on the experience of the raters heavily. As a result, variations caused by different raters or the same rater at different times confound quantitative interpretations. In this study, we propose a histogram-based analytical method to explore the sources of signals at various intensities and, subsequently, identify the signals of interest using the histograms as a reference. Our method aims to alleviate inter-rater and intra-rater inconsistencies and improve the quantification of microscope images with immunofluorescent staining.•Identification of signal sources for image pixels at different intensities•Reduction of quantification variations using the proposed histogram-based analysis.

Indexed as

Background signalsGaussian fittingHistogram-fitting-based quantification of immunofluorescent imagesMATLABPixel countThreshold

Identifiers

PMID40271047
PMCPMC12017866

What OpenQuestion holds

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LicenceCC BY-NC
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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.