Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images

Abstract Mitochondria are central to cellular energy production and regulation, with their morphology tightly linked to functional performance. Precise analysis of mitochondrial ultrastructure is crucial for understanding cellular bioenergetics and pathology. While transmission electron microscopy (...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Chan Jang, Hojun Lee, Jaejun Yoo, Haejin Yoon
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-05-01
Subjects:	Mitochondrial morphology Deep learning segmentation Transmission electron microscopy imaging Interactive segmentation Uncertainty analysis Automated quantification
Online Access:	https://doi.org/10.1038/s41598-025-03311-1