Polarized microscopy with picrosirius red: potential for reproducible burn depth grading

This research explores the challenges in accurately classifying burn severity and the limitations associated with traditional histology-based model training. Histology, often considered the gold standard for determining burn wound severity, typically employs stains like Hematoxylin and Eosin (H&E) and Masson's Trichrome. However, these methods can yield inconsistent results due to subjective interpretation and variability among professionals who interpret histology. The study investigates the use of Picrosirius Red (PSR) staining combined with polarized microscopy as a potential tool for producing consistent, reproducible, and computer-aided grading of burn histology severity. By analyzing collagen denaturation in burn tissues, preliminary data demonstrates a proportional correlation between the depth of collagen damage and burn contact time. The findings suggest that PSR staining enhances visibility of collagen alterations, potentially leading to more objective assessments of burn depth. This has the potential to improve the development of machine learning models for burn severity estimation by providing more consistent and quantifiable training data.