{"doi":"10.1016/j.xpro.2024.103555","title":"Protocol for quantifying muscle fiber size, number, and central nucleation of mouse skeletal muscle cross-sections using Myotally software","abstract":"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. • Protocol quantifying muscle fiber size, number, and central nucleation • Steps for software installation and image preparation • Instructions for selecting file path and setting key parameters • Guidance on measuring mean fluorescence intensity Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. 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.","journal":"STAR Protocols","year":2025,"id":522544,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9515,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":74028,"name":"Soochi Kim","orcid":"0000-0003-2054-6097","position":1,"is_corresponding":false},{"id":855753,"name":"Jengmin Kang","orcid":"0000-0002-5539-3070","position":2,"is_corresponding":false},{"id":1023964,"name":"Marina Arjona","orcid":"0000-0003-4588-3903","position":3,"is_corresponding":false},{"id":856660,"name":"Daniel I. Benjamin","orcid":null,"position":4,"is_corresponding":false},{"id":856663,"name":"Christopher W. Nutter","orcid":null,"position":5,"is_corresponding":false},{"id":986451,"name":"Armon Goshayeshi","orcid":"0000-0003-4879-1916","position":6,"is_corresponding":false},{"id":74117,"name":"Thomas A. Rando","orcid":"0000-0001-5843-8564","position":7,"is_corresponding":false},{"id":856661,"name":"Pieter Both","orcid":null,"position":0,"is_corresponding":true}],"reference_count":15,"raw_metadata":null,"created_at":"2026-07-19T02:49:54.058858Z","pmid":"39799576","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}