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

PloS One
Lucas Encarnacion-RiveraHyojung Choo

Abstract

Muscle 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. Myosoft 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. Myosoft 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.

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Citations

Jul 19, 2020·Scientific Reports·Vladimir Nikolaevich NikolenkoMikhail Yegorovich Sinelnikov
Jun 5, 2021·Scientific Reports·Ariel WaismanDaniel Kopinke
Oct 7, 2021·Science Translational Medicine·Bo Ri SeoDavid J Mooney

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Methods Mentioned

BETA
biopsy
feature extraction

Software Mentioned

CSAM
Muscle J
Open
Elements
Myosoft
Biovoxxel Toolbox
IJMacro
MuscleJ
Prism
JAVA

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