ArticleCell reports methods2024
Using MitER for 3D analysis of mitochondrial morphology and ER contacts.
Article in Cell reports methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Advanced imaging of membrane contact sites.Nature cell biology · 2026Review
- Diffusive spreading across dynamic mitochondrial network architectures.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dynamic imbalance of mitochondria-associated ER membranes in cardiovascular disease: mechanisms, context dependence and therapeutic potential.Frontiers in cell and developmental biology · 2026Review
- Enhancing cross-organelle coordination to advance plant cytochrome P450 functionality in yeast.Science advances · 2025Article
- Nellie: automated organelle segmentation, tracking and hierarchical feature extraction in 2D/3D live-cell microscopy.Nature methods · 2025Article
- Shape Matters: The Utility and Analysis of Altered Yeast Mitochondrial Morphology in Health, Disease, and Biotechnology.International journal of molecular sciences · 2025Review
- Evaluation of image analysis tools for the measurement of cellular morphology.Frontiers in cell and developmental biology · 2025Review
- Imaging and proteomics toolkits for studying organelle contact sites.Frontiers in cell and developmental biology · 2024Review
- Article
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Authors and funding
7 authors.
Funding
Abstract
We have developed an open-source workflow that allows for quantitative single-cell analysis of organelle morphology, distribution, and inter-organelle contacts with an emphasis on the analysis of mitochondria and mitochondria-endoplasmic reticulum (mito-ER) contact sites. As the importance of inter-organelle contacts becomes more widely recognized, there is a concomitant increase in demand for tools to analyze subcellular architecture. Here, we describe a workflow we call MitER (pronounced "mightier"), which allows for automated calculation of organelle morphology, distribution, and inter-organelle contacts from 3D renderings by employing the animation software Blender. We then use MitER to quantify the variations in the mito-ER networks of Saccharomyces cerevisiae, revealing significantly more mito-ER contacts within respiring cells compared to fermenting cells. We then demonstrate how this workflow can be applied to mammalian systems and used to monitor mitochondrial dynamics and inter-organelle contact in time-lapse studies.
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Registered trials
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