Non-invasive label-free imaging analysis pipeline for in situ characterization of 3D brain organoids

Brain organoids provide a unique opportunity to model organ development in a system similar to human organogenesis in vivo. Brain organoids thus hold great promise for drug screening and disease modeling. Conventional approaches to organoid characterization predominantly rely on molecular analysis methods, which are expensive, time-consuming, labor-intensive, and involve the destruction of the valuable three-dimensional (3D) architecture of the organoids. This reliance on end-point assays makes it challenging to assess cellular and subcellular events occurring during organoid development in their 3D context. As a result, the long developmental processes are not monitored nor assessed. The ability to perform non-invasive assays is critical for longitudinally assessing features of organoid development during culture. In this paper, we demonstrate a label-free high-content imaging approach for observing changes in organoid morphology and structural changes occurring at the cellular and subcellular level. Enabled by microfluidic-based culture of 3D cell systems and a novel 3D quantitative phase imaging method, we demonstrate the ability to perform non-destructive high-resolution quantitative image analysis of the organoid. The highlighted results demonstrated in this paper provide a new approach to performing live, non-destructive monitoring of organoid systems during culture.

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Publication Details

Journal
Scientific Reports
Published
2024-09-27
DOI
https://doi.org/10.1038/s41598-024-72038-2
Citations
13
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
2.40

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article

Non-invasive label-free imaging analysis pipeline for in situ characterization of 3D brain organoids

Seleipiri Charles, Hang Lu, Zhexing Wen, Brian Cheng et al.
13 citations
Scientific Reports
3D Printing in Biomedical Research
2.40
article

Non-invasive label-free imaging analysis pipeline for in situ characterization of 3D brain organoids

Seleipiri Charles, Hang Lu, Zhexing Wen, Brian Cheng, Paloma Casteleiro Costa, Francisco E. Robles, Caroline Filan, Weibo Niu
article en
13 citations

Abstract

Brain organoids provide a unique opportunity to model organ development in a system similar to human organogenesis in vivo. Brain organoids thus hold great promise for drug screening and disease modeling. Conventional approaches to organoid characterization predominantly rely on molecular analysis methods, which are expensive, time-consuming, labor-intensive, and involve the destruction of the valuable three-dimensional (3D) architecture of the organoids. This reliance on end-point assays makes it challenging to assess cellular and subcellular events occurring during organoid development in their 3D context. As a result, the long developmental processes are not monitored nor assessed. The ability to perform non-invasive assays is critical for longitudinally assessing features of organoid development during culture. In this paper, we demonstrate a label-free high-content imaging approach for observing changes in organoid morphology and structural changes occurring at the cellular and subcellular level. Enabled by microfluidic-based culture of 3D cell systems and a novel 3D quantitative phase imaging method, we demonstrate the ability to perform non-destructive high-resolution quantitative image analysis of the organoid. The highlighted results demonstrated in this paper provide a new approach to performing live, non-destructive monitoring of organoid systems during culture.

Scientific ReportsVol. 14(1)
Georgia Institute of Technology (US), Emory University (US), The Wallace H. Coulter Department of Biomedical Engineering (US)
National Science Foundation, U.S. Department of Defense, Burroughs Wellcome Fund, Georgia Institute of Technology, National Institute of Mental Health, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Zero hunger
Openalex Percentile: Top 11%
3D Printing in Biomedical Research
2.40
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