Digitalized organoids: integrated pipeline for high-speed 3D analysis of organoid structures using multilevel segmentation and cellular topology

Organoids replicate tissue architecture and function and offer a unique opportunity to explore the impact of external perturbations in vitro. However, conducting large-scale screening procedures to investigate the effects of various stresses on cellular morphology and topology in these systems poses important challenges, including limitations in high-resolution three-dimensional (3D) imaging and accessible 3D analysis platforms. In this study, we introduce an AI-based multilevel segmentation and cellular topology pipeline for screening morphology and topology modifications in 3D cell culture at both the nuclear and cytoplasmic levels, as well as at the whole-organoid scale. We demonstrate the versatility of our approach through proof-of-concept experiments, encompassing well-characterized conditions and poorly explored mechanical stressors such as microgravity. By offering a user-friendly interface named 3DCellScope and a comprehensive set of tools for discovery-like assays in screening 3D organoid models, our pipeline demonstrates wide-ranging potential for applications in biomedical research.

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Publication Details

Journal
Nature Methods
Published
2025-05-14
DOI
https://doi.org/10.1038/s41592-025-02685-4
Citations
34
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
55.56

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article

Digitalized organoids: integrated pipeline for high-speed 3D analysis of organoid structures using multilevel segmentation and cellular topology

Titouan Poquillon, Florian Dilasser, Hui Ting Ong, Victor Racine et al.
34 citations
Nature Methods
Cell Image Analysis Techniques
55.56
article

Digitalized organoids: integrated pipeline for high-speed 3D analysis of organoid structures using multilevel segmentation and cellular topology

Titouan Poquillon, Florian Dilasser, Hui Ting Ong, Victor Racine, Gaëtan Galisot, Saburnisha Binte Mohamad Raffi, Anne Béghin, Albert Z. Liu, Blake A. Johnson, Dimitri Mikec, Alessandro Furlan, D Blanc, Gianluca Grenci, Cora S. Thiel, Elise Drimaracci, Oliver Ullrich, Esra Karatas
article en
34 citations

Abstract

Organoids replicate tissue architecture and function and offer a unique opportunity to explore the impact of external perturbations in vitro. However, conducting large-scale screening procedures to investigate the effects of various stresses on cellular morphology and topology in these systems poses important challenges, including limitations in high-resolution three-dimensional (3D) imaging and accessible 3D analysis platforms. In this study, we introduce an AI-based multilevel segmentation and cellular topology pipeline for screening morphology and topology modifications in 3D cell culture at both the nuclear and cytoplasmic levels, as well as at the whole-organoid scale. We demonstrate the versatility of our approach through proof-of-concept experiments, encompassing well-characterized conditions and poorly explored mechanical stressors such as microgravity. By offering a user-friendly interface named 3DCellScope and a comprehensive set of tools for discovery-like assays in screening 3D organoid models, our pipeline demonstrates wide-ranging potential for applications in biomedical research.

Nature MethodsVol. 22(6)
Centre National de la Recherche Scientifique (FR), Johns Hopkins University (US), Inserm (FR), National University of Singapore (SG), Université de Lille (FR), Johns Hopkins Medicine (US), Centre Hospitalier Universitaire de Lille (FR), Micos Engineering (Switzerland) (CH), Centre Oscar Lambret (FR), Hôpital Saint Eloi (FR), Swiss Federal Institute of Aquatic Science and Technology (CH)
Economic Development Board - Singapore, Technische Universiteit Delft, Universität Zürich
Openalex Percentile: Top 0%
Cell Image Analysis Techniques
55.56
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