PLoS ONE (Jan 2020)

Myosoft: An automated muscle histology analysis tool using machine learning algorithm utilizing FIJI/ImageJ software.

  • Lucas Encarnacion-Rivera,
  • Steven Foltz,
  • H Criss Hartzell,
  • Hyojung Choo

DOI
https://doi.org/10.1371/journal.pone.0229041
Journal volume & issue
Vol. 15, no. 3
p. e0229041

Abstract

Read online

MethodsMuscle sections were stained for cell boundary (laminin) and myofiber type (myosin heavy chain isoforms). Myosoft, running in the open access software platform FIJI (ImageJ), was used to analyze myofiber size and type in transverse sections of entire gastrocnemius/soleus muscles.ResultsMyosoft provides an accurate analysis of hundreds to thousands of muscle fibers within 25 minutes, which is >10-times faster than manual analysis. We demonstrate that Myosoft is capable of handling high-content images even when image or staining quality is suboptimal, which is a marked improvement over currently available and comparable programs.ConclusionsMyosoft is a reliable, accurate, high-throughput, and convenient tool to analyze high-content muscle histology. Myosoft is freely available to download from Github at https://github.com/Hyojung-Choo/Myosoft/tree/Myosoft-hub.