MuscleJ2: a rebuilding of MuscleJ with new features for high-content analysis of skeletal muscle immunofluorescence slides.
Centro- and perinuclei
Extracellular matrix
Fiber typing
Histology
Interstitial cells
Muscle fiber morphology
Phenotype cartography
Sarcolemmal staining
Vascularization
Journal
Skeletal muscle
ISSN: 2044-5040
Titre abrégé: Skelet Muscle
Pays: England
ID NLM: 101561193
Informations de publication
Date de publication:
23 08 2023
23 08 2023
Historique:
received:
10
02
2023
accepted:
25
07
2023
medline:
25
8
2023
pubmed:
24
8
2023
entrez:
23
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37612778
doi: 10.1186/s13395-023-00323-1
pii: 10.1186/s13395-023-00323-1
pmc: PMC10463807
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
14Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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