FLASH: innovative integrated enzymatic-fluorescent labeling for automated muscle fiber typing, metabolic and morphometric analysis
FLASH provides an efficient and robust tool for high-throughput skeletal muscle histology. By combining enzymatic and fluorescent co-labeling with machine learning-based image analysis, this method improves reproductibility, reduces experimental complexity, and minimizes user bias. FLASH is particularly well-suited for large-scale or longitudinal studies investigating muscle adaptation in health and disease.
Authors
- Thierry Launay
- Thomas Guilbert (ORCID: https://orcid.org/0000-0001-5069-0730)
- Florian Alexis Britto (ORCID: https://orcid.org/0000-0002-7223-6341)
- Daniel Peixoto Pereira
- Maria Gallo (ORCID: https://orcid.org/0000-0001-9099-7235)
- Zoé Cepella
- Raphaël Braud-Mussi
- Gaspard Macaux
- Edgar Jauliac
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université de Montpellier (FR)
- Université Paris Cité (FR)
- Canon (France) (FR)
- Institut Cochin (FR)
Publication Details
- Journal
- Skeletal Muscle
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1186/s13395-025-00401-6
- Primary Topic
- Muscle Physiology and Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00