ArticleMitochondrion2024
Machine learning-based 3D segmentation of mitochondria in polarized epithelial cells.
Article in Mitochondrion, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- A practical workflow for analyzing organelle spatial proximity with super-resolution microscopy.Biochemistry and biophysics reports · 2026Article
- High-Resolution Imaging and Interpretation of Three-Dimensional RPE Sheet Structure.Biomolecules · 2025Article
- Deep learning-driven automated mitochondrial segmentation for analysis of complex transmission electron microscopy images.Scientific reports · 2025Article
- Mitochondrial Localization and Function of Adenosine Receptors.International journal of biological sciences · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Mitochondria are dynamic organelles that alter their morphological characteristics in response to functional needs. Therefore, mitochondrial morphology is an important indicator of mitochondrial function and cellular health. Reliable segmentation of mitochondrial networks in microscopy images is a crucial initial step for further quantitative evaluation of their morphology. However, 3D mitochondrial segmentation, especially in cells with complex network morphology, such as in highly polarized cells, remains challenging. To improve the quality of 3D segmentation of mitochondria in super-resolution microscopy images, we took a machine learning approach, using 3D Trainable Weka, an ImageJ plugin. We demonstrated that, compared with other commonly used methods, our approach segmented mitochondrial networks effectively, with improved accuracy in different polarized epithelial cell models, including differentiated human retinal pigment epithelial (RPE) cells. Furthermore, using several tools for quantitative analysis following segmentation, we revealed mitochondrial fragmentation in bafilomycin-treated RPE cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.