3D-printed microplate inserts for long term high-resolution imaging of live brain organoids

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2021

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Oksdath Mansilla, M.
Salazar-Hernandez, C.
Perrin, S.L.
Scheer, K.G.
Cildir, G.
Toubia, J.
Sedivakova, K.
Tea, M.N.
Lenin, S.
Ponthier, E.

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BMC Biomedical Engineering, 2021; 3(6):1-14

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Mariana Oksdath Mansilla, Camilo Salazar-Hernandez, Sally L. Perrin, Kaitlin G. Scheer, Gökhan Cildir, John Toubia, Kristyna Sedivakova, Melinda N. Tea, Sakthi Lenin, Elise Ponthier, Erica C. F. Yeo, Vinay Tergaonkar, Santosh Poonnoose, Rebecca J. Ormsby, Stuart M. Pitson, Michael P. Brown, Lisa M. Ebert, and Guillermo A. Gomez

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Abstract

Background: Organoids are a reliable model used in the study of human brain development and under pathological conditions. However, current methods for brain organoid culture generate tissues that range from 0.5 to 2mm of size, which need to be constantly agitated to allow proper oxygenation. The culture conditions are, therefore, not suitable for whole-brain organoid live imaging, required to study developmental processes and disease progression within physiologically relevant time frames (i.e. days, weeks, months). Results: Here we designed 3D-printed microplate inserts adaptable to standard 24 multi-well plates, which allow the growth of multiple organoids in pre-defined and fixed XYZ coordinates. This innovation facilitates highresolution imaging of whole-cerebral organoids, allowing precise assessment of organoid growth and morphology, as well as cell tracking within the organoids, over long periods. We applied this technology to track neocortex development through neuronal progenitors in brain organoids, as well as the movement of patient-derived glioblastoma stem cells within healthy brain organoids. Conclusions: This new bioengineering platform constitutes a significant advance that permits long term detailed analysis of whole-brain organoids using multimodal inverted fluorescence microscopy.

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Data source: Supplementary materials, https://doi.org/10.1186/s42490-021-00049-5

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© The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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