ArticleCommunications biology2026
A Single-organoid Workflow for quantitative Imaging classiFication and Tracking (SWIFT).
Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
6 authors.
Funding
Abstract
SWIFT (Single-organoid Workflow for quantitative Imaging classiFication and Tracking) is a fast and modular pipeline for quantitative, time-resolved organoid analysis from brightfield images. Requiring only minimal training annotations, SWIFT combines YOLOv8, SAM, and application-specific object classification to deliver accurate single-organoid segmentation, phenotyping, and tracking. The workflow is robust across organoid types and microscope systems. Applied to intestinal organoids, SWIFT uncovers dynamic Wnt-dependent morphological transitions, enabling scalable, high-throughput studies of epithelial plasticity.
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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.