What question did this study set out to answer?

The aim is to develop a method for live, label-free 3D imaging of intestinal organoids to monitor their biological processes.

April 5, 2026

Abstract 3422: Live, label free 3D virtual HE imaging of small intestinal organoids using holotomography and generative cross-modality artificial intelligence

Key Points

The aim is to develop a method for live, label-free 3D imaging of intestinal organoids to monitor their biological processes.
Used holotomography for 120 hours of continuous imaging.
Integrated generative models for predicting 3D virtual H&E images from RI data.
Evaluated epithelial architecture and drug responses in organoids.
Achieved artifact-free, label-free 3D virtual H&E images with detailed cellular features.
Identified morphogenetic changes and drug-induced alterations effectively.
Quantified pharmacodynamic responses, showing nuclear condensation and cellular fragmentation.

Abstract

Abstract Organoids provide physiologically relevant 3D models of tumor biology, but current imaging depends on fluorescence labeling, clearing, or destructive sectioning, limiting longitudinal analysis and perturbing native states. Holotomography (HT) enables long-term, high-resolution, label-free 3D imaging of live intestinal organoids, capturing crypt budding, mitosis, apoptosis, and drug-induced cytotoxicity. Generative frameworks that translate refractive index (RI) tomography into multiplexed fluorescence or H virtual H Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3422.

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Cite This Study

Cho et al. (Fri,) studied this question.

synapsesocial.com/papers/69d1fd62a79560c99a0a36d4 https://doi.org/https://doi.org/10.1158/1538-7445.am2026-3422

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