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Updated: Aug 20, 2026

Optimized Automated Analysis of Live Neuronal Mitochondria Homeostasis Modulation by Isoform-Specific Retinoic Acid Receptors
Published on: July 28, 2023
AMITO: an open-access application for assisted analysis of mitochondria in transmission electron microscopy images
Elyse Hucteau1,2,3, Thomas J Hureau1,2,3, Allan F Pagano1,2,3
1Exercise Physiology Laboratory, Institut Strauss, Strasbourg, France.
Abstract:
Analysis of mitochondrial morphology and ultrastructure from transmission electron microscopy 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 [Analysis of MITOchondria (AMITO)] that can be run without a license and integrates analyses within a single user-friendly interface. AMITO demonstrated excellent agreement with conventional manual image analysis software, high intra- and interexperimenter reproducibility, and substantial reduction in analysis time. Therefore, AMITO provides a reliable, efficient, and accessible tool to ensure robustness and reproducibility in mitochondrial assessment.NEW & NOTEWORTHY AMITO is an open-access, standalone application for mitochondrial analysis from TEM images that combines automated and manual workflows within a single user-friendly interface. Validated against conventional FIJI analysis, AMITO demonstrated excellent reproducibility while substantially reducing analysis time and experimenter-dependent variability. By integrating morphology and ultrastructure quantification without requiring programming expertise, AMITO provides a reliable and accessible solution to improve robustness, efficiency, and reproducibility in mitochondrial research.

