Literature DB >> 35697835

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

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.
© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.

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


  29 in total

1.  Light-Sheet Microscopy and Its Potential for Understanding Developmental Processes.

Authors:  Yinan Wan; Katie McDole; Philipp J Keller
Journal:  Annu Rev Cell Dev Biol       Date:  2019-07-12       Impact factor: 13.827

2.  A fully automated high-throughput workflow for 3D-based chemical screening in human midbrain organoids.

Authors:  Henrik Renner; Martha Grabos; Katharina J Becker; Theresa E Kagermeier; Jie Wu; Mandy Otto; Stefan Peischard; Dagmar Zeuschner; Yaroslav TsyTsyura; Paul Disse; Jürgen Klingauf; Sebastian A Leidel; Guiscard Seebohm; Hans R Schöler; Jan M Bruder
Journal:  Elife       Date:  2020-11-03       Impact factor: 8.140

3.  Imaging organoids: a bright future ahead.

Authors:  Anne C Rios; Hans Clevers
Journal:  Nat Methods       Date:  2018-01-03       Impact factor: 28.547

Review 4.  Human organoids: model systems for human biology and medicine.

Authors:  Jihoon Kim; Bon-Kyoung Koo; Juergen A Knoblich
Journal:  Nat Rev Mol Cell Biol       Date:  2020-07-07       Impact factor: 94.444

Review 5.  The potential and challenges of patient-derived organoids in guiding the multimodality treatment of upper gastrointestinal malignancies.

Authors:  Georg A Busslinger; Fianne Lissendorp; Ingrid A Franken; Richard van Hillegersberg; Jelle P Ruurda; Hans Clevers; Michiel F G de Maat
Journal:  Open Biol       Date:  2020-04-08       Impact factor: 6.411

6.  The challenge of developing human 3D organoids into medicines.

Authors:  Joaquim Vives; Laura Batlle-Morera
Journal:  Stem Cell Res Ther       Date:  2020-03-04       Impact factor: 6.832

7.  The Organoid Cell Atlas.

Authors:  Christoph Bock; Michael Boutros; J Gray Camp; Laura Clarke; Hans Clevers; Juergen A Knoblich; Prisca Liberali; Aviv Regev; Anne C Rios; Oliver Stegle; Hendrik G Stunnenberg; Sarah A Teichmann; Barbara Treutlein; Robert G J Vries
Journal:  Nat Biotechnol       Date:  2021-01       Impact factor: 54.908

Review 8.  Organoids in image-based phenotypic chemical screens.

Authors:  Ilya Lukonin; Marietta Zinner; Prisca Liberali
Journal:  Exp Mol Med       Date:  2021-10-18       Impact factor: 8.718

9.  Phenotypic landscape of intestinal organoid regeneration.

Authors:  Ilya Lukonin; Denise Serra; Ludivine Challet Meylan; Katrin Volkmann; Janine Baaten; Rui Zhao; Shelly Meeusen; Karyn Colman; Francisca Maurer; Michael B Stadler; Jeremy Jenkins; Prisca Liberali
Journal:  Nature       Date:  2020-10-07       Impact factor: 49.962

10.  A single-cell transcriptomic landscape of the lungs of patients with COVID-19.

Authors:  Si Wang; Xiaohong Yao; Shuai Ma; Yifang Ping; Yanling Fan; Shuhui Sun; Zhicheng He; Yu Shi; Liang Sun; Shiqi Xiao; Moshi Song; Jun Cai; Jiaming Li; Rui Tang; Liyun Zhao; Chaofu Wang; Qiaoran Wang; Lei Zhao; Huifang Hu; Xindong Liu; Guoqiang Sun; Lu Chen; Guoqing Pan; Huaiyong Chen; Qingrui Li; Peipei Zhang; Yuanyuan Xu; Huyi Feng; Guo-Guang Zhao; Tianzi Wen; Yungui Yang; Xuequan Huang; Wei Li; Zhenhua Liu; Hongmei Wang; Haibo Wu; Baoyang Hu; Yong Ren; Qi Zhou; Jing Qu; Weiqi Zhang; Guang-Hui Liu; Xiu-Wu Bian
Journal:  Nat Cell Biol       Date:  2021-12-07       Impact factor: 28.824

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