Automated high-speed 3D imaging of organoid cultures with multi-scale phenotypic quantification

Current imaging approaches limit the ability to perform multi-scale characterization of three-dimensional (3D) organotypic cultures (organoids) in large numbers. Here, we present an automated multi-scale 3D imaging platform synergizing high-density organoid cultures with rapid and live 3D single-obj...

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Veröffentlicht in:Nature methods 2022-07, Vol.19 (7), p.881-892
Hauptverfasser: Beghin, Anne, Grenci, Gianluca, Sahni, Geetika, Guo, Su, Rajendiran, Harini, Delaire, Tom, Mohamad Raffi, Saburnisha Binte, Blanc, Damien, de Mets, Richard, Ong, Hui Ting, Galindo, Xareni, Monet, Anais, Acharya, Vidhyalakshmi, Racine, Victor, Levet, Florian, Galland, Remi, Sibarita, Jean-Baptiste, Viasnoff, Virgile
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Sprache:eng
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Zusammenfassung:Current imaging approaches limit the ability to perform multi-scale characterization of three-dimensional (3D) organotypic cultures (organoids) in large numbers. Here, we present an automated multi-scale 3D imaging platform synergizing high-density organoid cultures with rapid and live 3D single-objective light-sheet imaging. It is composed of disposable microfabricated organoid culture chips, termed JeWells, with embedded optical components and a laser beam-steering unit coupled to a commercial inverted microscope. It permits streamlining organoid culture and high-content 3D imaging on a single user-friendly instrument with minimal manipulations and a throughput of 300 organoids per hour. We demonstrate that the large number of 3D stacks that can be collected via our platform allows training deep learning-based algorithms to quantify morphogenetic organizations of organoids at multi-scales, ranging from the subcellular scale to the whole organoid level. We validated the versatility and robustness of our approach on intestine, hepatic, neuroectoderm organoids and oncospheres. A method for high-content 3D imaging of organoids.
ISSN:1548-7091
1548-7105
DOI:10.1038/s41592-022-01508-0