Elyse Hucteau, Thomas J Hureau, Allan F Pagano, Joris Mallard
Analysis of mitochondrial morphology and ultrastructure from transmission electron microscopy (TEM) images is essential for understanding cellular adaptations in both physiological and pathological conditions. However, these investigations remain time-consuming, poorly standardized and therefore highly variable. We developed an open-access, standalone MATLAB-based application (AMITO) that can be run without license and integrates analyses within a single user-friendly interface. AMITO demonstrated excellent agreement with conventional manual image analysis software, high intra- and inter-experimenter reproducibility, and substantial reduction in analysis time. Therefore, AMITO provides a reliable, efficient, and accessible tool to ensure robustness and reproducibility in mitochondrial assessment.