A Quantitative Technique to Analyze and Evaluate Microstructures of Skin Hair Follicles Based on Mueller Matrix Polarimetry
September 2022
in “
Frontiers in Physics
”
Mueller Matrix transmission microscopy Mueller matrix polar decomposition MMPD linear birefringence hair follicles image segmentation sliding window algorithm texture analysis follicle size skin structure research clinical dermatology Mueller Matrix birefringence sliding window skin research dermatology
TLDR The technique accurately identifies and evaluates hair follicle structures in skin.
This study introduces a quantitative technique using Mueller matrix polarimetry to analyze and evaluate the microstructures of skin hair follicles in mouse samples. By measuring microscopic Mueller matrices and calculating MMPD parameters δ and θ, the researchers identified hair follicles through characteristic intensity changes. The study employed image segmentation, sliding window algorithm, and texture analysis methods, finding that TIPM Contrast and GLCM 1-IDM parameters provided accurate size estimations with moderate correlation (R² > 0.25, p < 0.01). The results suggest that this technique can effectively automate hair follicle identification and evaluation, showing significant potential for dermatological research and clinical applications.
