ArticlePLoS computational biology2022
OrganoID: A versatile deep learning platform for tracking and analysis of single-organoid dynamics.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers.
What it found
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Who cites it
104 citing papers in PubMed, 110 citations in OpenAlex.
- Organoid Intelligent Morphomics: Decoding the organoid morphome through artificial intelligence from phenotypic quantification to mechanistic insight.Bioactive materials · 2027Review
- An AI-integrated organoid platform enables high-throughput functional evaluation of bioactive metal ions.Bioactive materials · 2026Article
- Inflammation-Induced Claudin-2 Up-Regulation Limits Pancreatitis Development by Enhancing Pancreatic Ductal Transport.Gastroenterology · 2026Article
- Construction and application of mammary and breast cancer organoids.Cell insight · 2026Review
- Comparison of Prime Editing and CRISPR-Cas Mediated HDR in Correcting CFTR-F508del Mutation in Patient iPSC-Derived Airway Basal Cells.International journal of molecular sciences · 2026Article
- From Primary Cells to Organoids: Expanding the Biological Relevance of In Vitro Cellular Models.Cells · 2026Review
- Interpretable Multi-Feature Optical Analysis for Stage- and Batch-Aware Quality Assessment of Brain-Organoid Cultures.Sensors (Basel, Switzerland) · 2026Article
- Real-time monitoring of CAR T cell dynamics in tumor patient-derived organoids using the OrganoIDNet algorithm.Journal of translational medicine · 2026Article
- A Single-organoid Workflow for quantitative Imaging classiFication and Tracking (SWIFT).Communications biology · 2026Article
- Organoids in Precision Radiotherapy: Methodological Foundations, Tumor-Specific Evidence, and Translational Roadmaps.Cancer medicine · 2026Review
- Review
- OrgLine: A versatile pipeline for organoid morphometry using detector-guided prompts.Cell reports methods · 2026Article
- Review
- Deep Learning-Based Prediction of Epithelial Cytokine Responses for the Selection of Functionally Consistent Airway Organoids.Biomimetics (Basel, Switzerland) · 2026Article
- Harnessing human tumor organoids for cancer modeling and precision therapy.Protein & cell · 2026Review
- Bridging In Vitro and Murine Breast Cancer Models: Advanced Imaging Across Multiscale Experimental Platforms.Cancers · 2026Review
- Bioengineering advances in pancreatic cancer organoids for reproducible tumor microenvironment modeling.iScience · 2026Review
- Patient therapy outcome modeling in cancer organoids is improved by cancer-associated fibroblasts and organoid assembly convolution.Molecular oncology · 2026Article
- Organoid technology in cancer research.Molecular biomedicine · 2026Review
- Pancreatic organoids and organoid-on-a-chip platforms: from disease modeling to precision therapy.Journal of translational medicine · 2026Review
44 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 3 institutions in 2 countries.
Funding
Abstract
Organoids have immense potential as ex vivo disease models for drug discovery and personalized drug screening. Dynamic changes in individual organoid morphology, number, and size can indicate important drug responses. However, these metrics are difficult and labor-intensive to obtain for high-throughput image datasets. Here, we present OrganoID, a robust image analysis platform that automatically recognizes, labels, and tracks single organoids, pixel-by-pixel, in brightfield and phase-contrast microscopy experiments. The platform was trained on images of pancreatic cancer organoids and validated on separate images of pancreatic, lung, colon, and adenoid cystic carcinoma organoids, which showed excellent agreement with manual measurements of organoid count (95%) and size (97%) without any parameter adjustments. Single-organoid tracking accuracy remained above 89% over a four-day time-lapse microscopy study. Automated single-organoid morphology analysis of a chemotherapy dose-response experiment identified strong dose effect sizes on organoid circularity, solidity, and eccentricity. OrganoID enables straightforward, detailed, and accurate image analysis to accelerate the use of organoids in high-throughput, data-intensive biomedical applications.
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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.