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Peer-reviewedCC BY 4.0American Journal of Physiology - Cell Physiology

AMITO: an open-access application for assisted analysis of mitochondria in transmission electron microscopy images

  • Elyse Hucteau
  • Thomas J Hureau
  • Allan F Pagano
  • Joris Mallard
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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. 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.

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Cite

BibTeXRIS
BibTeX
@article{hucteau2026amito,
  title = {{AMITO: an open-access application for assisted analysis of mitochondria in transmission electron microscopy images}},
  author = {Elyse Hucteau and Thomas J Hureau and Allan F Pagano and Joris Mallard},
  journal = {American Journal of Physiology - Cell Physiology},
  year = {2026},
  month = aug,
  doi = {10.1152/ajpcell.00300.2026},
  url = {https://univoak.hal.science/hal-05784199v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - AMITO: an open-access application for assisted analysis of mitochondria in transmission electron microscopy images
AU  - Elyse Hucteau
AU  - Thomas J Hureau
AU  - Allan F Pagano
AU  - Joris Mallard
PY  - 2026
DA  - 2026/08/18
JO  - American Journal of Physiology - Cell Physiology
DO  - 10.1152/ajpcell.00300.2026
UR  - https://univoak.hal.science/hal-05784199v1
AB  - 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. 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.
SN  - 0363-6143
SN  - 1522-1563
ER  -