Myosoft

Myosoft automates analysis of muscle histology images to quantify myofiber size and classify fiber types based on myosin heavy chain isoforms for studies of muscle physiology, pathology, and genetics.

Key Features:

• Automation and Speed: Analyzes hundreds to thousands of muscle fibers across entire transverse sections in approximately 25 minutes, representing more than a tenfold speed increase versus manual analysis.
• High Throughput Capability: Processes large, high-content imaging datasets with maintained accuracy and reliability, including cases with suboptimal image or staining quality.
• Machine Learning Integration: Implements machine learning algorithms for identification and classification of myofiber types using staining markers such as laminin and myosin heavy chain isoforms.

Scientific Applications:

• Muscle histology research: Provides automated quantification of myofiber size and type for muscle biology studies.
• Whole-muscle transverse section analysis (gastrocnemius, soleus): Enables assessment of myofiber characteristics across entire muscles such as the gastrocnemius and soleus.
• High-throughput fiber characterization: Supports large-scale studies of muscle fiber characteristics from high-content images to facilitate investigations into physiology, pathology, and genetics.

Methodology:

Operates within FIJI (ImageJ) and applies machine learning algorithms trained on laminin staining for cell boundary delineation and myosin heavy chain isoform staining for myofiber-type classification on transverse muscle sections.