Evidence map›Paper›PMID 37612778›Full record

ArticleSkeletal muscle2023

MuscleJ2: a rebuilding of MuscleJ with new features for high-content analysis of skeletal muscle immunofluorescence slides.

Anne Danckaert, Aurélie Trignol, Guillaume Le Loher, Sébastien Loubens, Bart Staels, Hélène Duez, Spencer L Shorte, Alicia Mayeuf-Louchart

Open access · goldAbstract read
In one paragraph

Article in Skeletal muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

20 citing papers in PubMed, 24 citations in OpenAlex.

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  20. Skeletal muscle proteome differs between youngFrontiers in aging neuroscience · 2024
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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

8 authors at 6 institutions in 1 country.

Anne DanckaertUTechS Photonic BioImaging/C2RT, Institut Pasteur, Université Paris Cité, 75015, Paris, France. anne.danckaert@pasteur.fr.
Aurélie TrignolFrench Armed Forces Biomedical Research Institute - IRBA, Brétigny-sur-Orge, France.
Guillaume Le LoherUTechS Photonic BioImaging/C2RT, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Sébastien LoubensCHU Lille, INSERM, Institut Pasteur de Lille, Univ. Lille, U1011-EGID, Lille, 59000, France.
Bart StaelsCHU Lille, INSERM, Institut Pasteur de Lille, Univ. Lille, U1011-EGID, Lille, 59000, France.
Hélène DuezCHU Lille, INSERM, Institut Pasteur de Lille, Univ. Lille, U1011-EGID, Lille, 59000, France.
Spencer L ShorteUTechS Photonic BioImaging/C2RT, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Alicia Mayeuf-LouchartCHU Lille, INSERM, Institut Pasteur de Lille, Univ. Lille, U1011-EGID, Lille, 59000, France. alicia.mayeuf-louchart@inserm.fr.
Institut Pasteur de Lille · FRUniversité de Lille · FRÉcole Centrale d'Électronique · FRInstitut Pasteur · FRService de Santé des Armées · FRUniversité Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Histological analysis of skeletal muscle is of major interest for understanding its behavior in different pathophysiological conditions, such as the response to different environments or myopathies. In this context, many software programs have been developed to perform automated high-content analysis. We created MuscleJ, a macro that runs in ImageJ/Fiji on batches of images. MuscleJ is a multianalysis tool that initially allows the analysis of muscle fibers, capillaries, and satellite cells. Since its creation, it has been used in many studies, and we have further developed the software and added new features, which are presented in this article. We converted the macro into a Java-language plugin with an improved user interface. MuscleJ2 provides quantitative analysis of fibrosis, vascularization, and cell phenotype in whole muscle sections. It also performs analysis of the peri-myonuclei, the individual capillaries, and any staining in the muscle fibers, providing accurate quantification within regional sublocalizations of the fiber. A multicartography option allows users to visualize multiple results simultaneously. The plugin is freely available to the muscle science community.

Indexed as

Muscle, SkeletalSatellite Cells, Skeletal MuscleFluorescent Antibody TechniqueMuscle Fibers, SkeletalSoftwareCentro- and perinucleiExtracellular matrixFiber typingHistologyInterstitial cellsMuscle fiber morphologyPhenotype cartographySarcolemmal stainingVascularization

Identifiers

PMID37612778
PMCPMC10463807
OpenAlexW4386097661

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.