Protocol for quantifying muscle fiber size, number, and central nucleation of mouse skeletal muscle cross-sections using Myotally software
Here, we present a protocol for using Myotally, a user-friendly software for fast, automated quantification of muscle fiber size, number, and central nucleation from immunofluorescent stains of mouse skeletal muscle cross-sections. We describe steps for installing the software, preparing compatible images, finding the file path, and selecting key parameters like image quality and size limits. We also detail optional features, such as measuring mean fluorescence. By automating these traditionally labor-intensive processes, Myotally improves research efficiency and data consistency.
Authors
- Thomas A. Rando (ORCID: https://orcid.org/0000-0001-5843-8564)
- Christopher W. Nutter
- Pieter Both
- Soochi Kim (ORCID: https://orcid.org/0000-0003-2054-6097)
- Marina Arjona (ORCID: https://orcid.org/0000-0003-4588-3903)
- Armon Goshayeshi (ORCID: https://orcid.org/0000-0003-4879-1916)
- Jengmin Kang (ORCID: https://orcid.org/0000-0002-5539-3070)
- Daniel I. Benjamin
Institutions
- VA Palo Alto Health Care System (US)
- Stanford Medicine (US)
- Stanford University (US)
Publication Details
- Journal
- STAR Protocols
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1016/j.xpro.2024.103555
- Citations
- 3
- Primary Topic
- Muscle Physiology and Disorders
- Type
- article
- Field-Weighted Citation Impact
- 2.42
Funders
- U.S. Department of Veterans Affairs
- Buck Institute for Research on Aging
- National Research Foundation
- Korea University
- National Research Foundation of Korea
- National Institutes of Health