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Automation of Organoid Cultures: Current Protocols and Applications

Louey, A, Hernández, D, Pébay, A and Daniszewski, M 2021, Automation of Organoid Cultures: Current Protocols and Applications, SLAS Discovery, vol. 26, no. 9, pp. 1138-1147, doi: 10.1177/24725552211024547.

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Title Automation of Organoid Cultures: Current Protocols and Applications
Author(s) Louey, A
Hernández, D
Pébay, A
Daniszewski, M
Journal name SLAS Discovery
Volume number 26
Issue number 9
Start page 1138
End page 1147
Total pages 10
Publisher Sage
Place of publication London, Eng.
Publication date 2021
ISSN 2472-5552
2472-5560
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Biochemical Research Methods
Biotechnology & Applied Microbiology
Chemistry, Analytical
Biochemistry & Molecular Biology
Chemistry
automation
organoid
stem cell
retina
nervous system
INTESTINAL STEM-CELL
RETINAL ORGANOIDS
SOFTWARE TOOLS
TRACKING
QUANTIFICATION
SEGMENTATION
PLATFORM
SYSTEMS
MODELS
FUTURE
Summary Organoids are three-dimensional, functional structures that mimic in vivo organs. They offer new opportunities for the modeling of cancer and infectious and rare hereditary diseases. Furthermore, the advent of organoid biobanks opens new avenues for drug screening in a personalized fashion and holds much promise for personalized regenerative medicine. Thus, there is a need for reproducible, large-scale organoid generation with minimal variability, making manual approaches impracticable. Here, we review the current use of automation in organoid culture and analysis, using cerebral and retinal organoids as illustrations of current applications. An increased demand for automated organoid platforms is anticipated. Graphical Abstract: (Figure presented.)
Language eng
DOI 10.1177/24725552211024547
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30164036

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus Google Scholar Search Google Scholar
Access Statistics: 10 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Thu, 10 Mar 2022, 07:05:32 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.