| Literature DB >> 35697835 |
Anne Beghin1,2,3, Gianluca Grenci4,5, Geetika Sahni4, Su Guo4, Harini Rajendiran4, Tom Delaire6, Saburnisha Binte Mohamad Raffi4, Damien Blanc7, Richard de Mets4, Hui Ting Ong4, Xareni Galindo6, Anais Monet4, Vidhyalakshmi Acharya4, Victor Racine7, Florian Levet6,8, Remi Galland6, Jean-Baptiste Sibarita9, Virgile Viasnoff10,11,12.
Abstract
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.Entities:
Mesh:
Year: 2022 PMID: 35697835 DOI: 10.1038/s41592-022-01508-0
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 47.990