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A Rapid Automated Protocol for Muscle Fiber Population Analysis in Rat Muscle Cross Sections Using Myosin Heavy Chain Immunohistochemistry
Published on: March 28, 2017
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SMASH - semi-automatic muscle analysis using segmentation of histology: a MATLAB application
Lucas R Smith1, Elisabeth R Barton1
1Department of Anatomy and Cell Biology, School of Dental Medicine, University of Pennsylvania, Philadelphia, PA USA ; Pennsylvania Muscle Institute, University of Pennsylvania, Philadelphia, PA USA.
Skeletal Muscle
|May 5, 2015
Summary
Researchers developed an open-source MATLAB script for analyzing skeletal muscle histology. This tool automates the quantification of key parameters, aiding in the study of muscle diseases and injuries.
Area of Science:
- Skeletal muscle physiology and histology
- Biomedical image analysis
- Computational biology
Background:
- Histological assessment of skeletal muscle is crucial for physiological research.
- Key parameters include fiber distribution, type, central nucleation, and capillary density.
- Existing software for consistent, efficient analysis is limited.
Purpose of the Study:
- To develop an open-source MATLAB script for automated skeletal muscle histological analysis.
- To provide researchers with a freely available tool for quantifying muscle parameters.
- To incorporate user controls for flexibility in analysis.
Main Methods:
- Developed a MATLAB script with functions for image segmentation and fiber filtering.
- Implemented user-defined parameters for creating a fiber mask.
- Validated the script on soleus muscle sections from wild-type and mdx mice.
Main Results:
- The script quantifies fiber size, type, centrally nucleated fibers, and other structures.
- Mdx mice showed higher fiber size variability and a greater proportion of type I fibers.
- Centrally nucleated fibers were prevalent and larger in mdx muscle.
Conclusions:
- The MATLAB script enables semi-automated analysis of immunofluorescent muscle sections.
- The program provides data consistent with established practices.
- This is the first open-source software for automated skeletal muscle histology analysis.
