ArticleCell reports methods2026
OrgLine: A versatile pipeline for organoid morphometry using detector-guided prompts.
Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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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1 citing paper in PubMed.
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8 authors.
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Abstract
Patient-derived organoids are increasingly being used in disease modeling, clinical research, drug development, and precision medicine. However, capturing complex organoid behaviors in dense three-dimensional culture environments remains challenging for manual workflows, and bright-field images often contain background artifacts that complicate quantitative analysis. To address this gap, we developed OrgLine, a quantitative analysis pipeline for organoids. Built on a large, curated bright-field image dataset, it couples a detector with a prompt-guided segmentation module. OrgLine recognizes organoids in bright-field images, supports quantitative characterization of morphological phenotypes across developmental stages, and enables accurate instance segmentation for downstream morphometric assessment. Together, these capabilities support more automated and quantitative organoid cultivation workflows.
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