ISID0197 - Quantitative Analysis of Hair Loss in Mice Utilizing ImageJ Improves the Efficacy Evaluation of Alopecia Areata Induction in the C3H/HeJ Mouse Model
May 2023
TLDR A new image-based method improves accuracy in measuring hair loss in mice.
The study introduces a quantitative, image-based method using the ImageJ analysis system to objectively evaluate hair loss in a T-cell transfer-induced alopecia areata model in C3H/HeJ mice. This technique involves capturing standardized photos and using semi-automatic threshold color segmentation to quantify hair loss, offering improved accuracy and precision over traditional subjective visual scoring systems. The method's simplicity, use of open-source software, and reproducibility make it a valuable tool for refining alopecia models and enhancing the evaluation of therapeutic strategies in preclinical studies.
