ArticleCell systems2023
Instance segmentation of mitochondria in electron microscopy images with a generalist deep learning model trained on a diverse dataset.
Article in Cell systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 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.
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Who cites it
58 citing papers in PubMed.
- Islet ultrastructure: past achievements and future directions.Diabetologia · 2026Review
- Review of image segmentation techniques for biomedical micro-CT: from laboratory absorption imaging to synchrotron phase-contrast.Npj imaging · 2026Review
- RAEM: random-access electron microscopy for revisitable 3D imaging.bioRxiv : the preprint server for biology · 2026Article
- SAMJ: fast image annotation on ImageJ/Fiji via segment anything model.Nature communications · 2026Article
- A Generalized Deep Learning Pipeline for Stain-Invariant Ultrastructural Segmentation in Peripheral Nerves.Journal of imaging · 2026Article
- SKOOTS: Skeleton-Oriented Object Segmentation for Mitochondria in High-Resolution Cochlear EM Datasets.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Synthetic data enables human-grade microtubule analysis with foundation models for segmentation.PLoS computational biology · 2026Article
- Functional and metabolomic analyses of brown adipose tissue during cold-deacclimation reveal rapid N-acetylated amino acid adaptations.iScience · 2026Article
- Large-scale endoplasmic reticulum membrane solidification spatially organises proteins under thermal or metabolic stress.bioRxiv : the preprint server for biology · 2026Article
- NucleoNet and DropNet: Generalist deep learning models for instance segmentation of nuclei and lipid droplets from electron microscopy images.bioRxiv : the preprint server for biology · 2026Article
- U2AF regulates the translation and localization of nuclear-encoded mitochondrial mRNAs.Molecular cell · 2026Article
- 3D Mitochondria Shape Library for Optical Microscopy (3DMSL): A multimodal dataset for deep learning based mitochondrial analysis.Data in brief · 2026Article
- BRD4-mediated ER membrane contact creates functionally distinct mitochondrial subtypes.Molecular cell · 2026Article
- 3D "Emboli" Culture Models Epithelial Breast Cancer Cell Oxidative Mitochondrial Metabolism with Relevance for Lung Metastasis.Cancer research communications · 2026Article
- Mitochondrial quantity-quality imbalance in cellular senescence: practical readouts and minimal assay bundles.BMB reports · 2026Review
- Artificial intelligence-powered microscopy: Transforming the landscape of parasitology.Journal of microscopy · 2026Review
- Multiscale mitochondrial cristae remodeling links Opa1 downregulation to reduced OXPHOS capacity in aged hearts.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A semantic segmentation model to predict subcellular glycogen localization using transmission electron microscopy images.PloS one · 2026Article
- VASCilia is an open-source, deep learning-based tool for 3D analysis of cochlear hair cell stereocilia bundles.PLoS biology · 2026Article
- Volume electron microscopy in axon regeneration research: insights into mitochondria, endoplasmic reticulum, and membrane contacts.Frontiers in neural circuits · 2026Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Mitochondria are extremely pleomorphic organelles. Automatically annotating each one accurately and precisely in any 2D or volume electron microscopy (EM) image is an unsolved computational challenge. Current deep learning-based approaches train models on images that provide limited cellular contexts, precluding generality. To address this, we amassed a highly heterogeneous ∼1.5 × 10
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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 OpenQuestion graph.