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Date publication

août 2026

Journal

American journal of physiology. Cell physiology

Auteurs

Membres identifiés du Cancéropôle Est :
Dr HUCTEAU Elyse , Dr MALLARD Joris


Tous les auteurs :
Hucteau E, Hureau TJ, Pagano AF, Mallard J

Résumé

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.

Mots clés

Matlab, TEM, image segmentation, mitochondrial morphology, muscle

Référence

Am J Physiol Cell Physiol. 2026 08 18;: