Both Pieter, Kim Soochi, Kang Jengmin, Arjona Marina, Benjamin Daniel I, Nutter Christopher W, Goshayeshi Armon, Rando Thomas A
Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Stem Cell Biology and Regenerative Medicine Graduate Program, Stanford University School of Medicine, Stanford, CA 94305, USA.
Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Biotechnology and Bioinformatics, Korea University, Sejong 30019, Republic of Korea.
STAR Protoc. 2025 Mar 21;6(1):103555. doi: 10.1016/j.xpro.2024.103555. Epub 2025 Jan 11.
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.
在此,我们展示了一种使用Myotally的方案,Myotally是一款用户友好型软件,可对小鼠骨骼肌横切面的免疫荧光染色进行肌肉纤维大小、数量和中央核化的快速自动定量分析。我们描述了软件安装、准备兼容图像、查找文件路径以及选择图像质量和大小限制等关键参数的步骤。我们还详细介绍了可选功能,如测量平均荧光强度。通过自动化这些传统上劳动强度大的流程,Myotally提高了研究效率和数据一致性。