Muscle2View

Muscle2View performs automated quantification of muscle cross-sectional immunohistochemistry images to extract fiber morphological variables and capillary-to-fiber metrics for skeletal muscle research.

Key Features:

• Automatic and Unsupervised Analysis: Automatic and unsupervised detection of fiber borders, myonuclei, capillaries, and morphometric parameters from cross-sectional immunohistochemistry images.
• Capillary-to-Fiber Interface Quantification: Calculation of capillary contacts (CC), individual capillary-to-fiber ratio (C/Fi), and capillary-to-fiber perimeter exchange (CFPE) index.
• Fiber Type-Specific Analysis: Differentiation and quantification of morphological features by skeletal muscle fiber type.
• High-Content Batch Processing: Ability to process large batches of images rapidly, with reported per-sample processing times typically under 10 minutes.
• Validation and Performance: Demonstrates strong correlations with manual or semiautomatic methods, with reported differences of approximately 5–15% in computed values.

Scientific Applications:

• Muscle development studies: Quantitative assessment of fiber morphology and vascularization during muscle development.
• Disease progression and pathology: Characterization of fiber morphological changes and capillary networks in muscular disease models.
• Therapeutic response assessment: Measurement of morphological and microvascular responses to interventions in skeletal muscle.
• Basic and translational research: Generation of objective, high-content morphological and vascular metrics for basic biology and clinical studies.

Methodology:

Implemented as a CellProfiler pipeline with image settings configured per study; algorithms identify and quantify fiber borders, myonuclei, capillaries, and morphometric parameters including CC, C/Fi, and CFPE.