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Related Experiment Video

Updated: Jun 10, 2026

Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis
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Multiparametric Tumor Organoid Drug Screening Using Widefield Live-Cell Imaging for Bulk and Single-Organoid Analysis

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OrgLine: A versatile pipeline for organoid morphometry using detector-guided prompts.

Xun Deng1, Xinyu Hao2, Thomas Herget3

  • 1The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, China; University of Chinese Academy of Sciences, Beijing, China.

Cell Reports Methods
|June 8, 2026
PubMed
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OrgLine is a new quantitative analysis pipeline for patient-derived organoids. This tool automates the analysis of organoid morphology from bright-field images, improving disease modeling and drug development.

Area of Science:

  • Biotechnology
  • Bioinformatics
  • Cell Biology

Background:

  • Patient-derived organoids are vital tools in disease modeling, drug development, and precision medicine.
  • Manual analysis of organoids in 3D culture is challenging and prone to artifacts in bright-field images.
  • Quantitative assessment of organoid morphology is crucial but complicated by imaging limitations.

Purpose of the Study:

  • To develop an automated quantitative analysis pipeline for patient-derived organoids.
  • To address the limitations of manual workflows and image artifacts in organoid analysis.
  • To enable accurate morphological characterization and segmentation of organoids.

Main Methods:

  • Development of OrgLine, a quantitative analysis pipeline for organoids.
Keywords:
CP: imagingCP: stem cellautomationbright-field imagescultivationorganoidspipelinepre-trainedquantitativesegmentationstem cell

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Last Updated: Jun 10, 2026

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Published on: October 14, 2022

  • Utilizing a large, curated dataset of bright-field organoid images.
  • Implementation of a detector coupled with a prompt-guided segmentation module.
  • Main Results:

    • OrgLine accurately recognizes organoids in bright-field images.
    • The pipeline enables quantitative characterization of morphological phenotypes across developmental stages.
    • Accurate instance segmentation for downstream morphometric assessment is achieved.

    Conclusions:

    • OrgLine facilitates more automated and quantitative organoid cultivation workflows.
    • The pipeline enhances the utility of patient-derived organoids in research and clinical applications.
    • OrgLine improves the reliability and efficiency of organoid analysis.