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Recent Trends and Perspectives in Cerebral Organoids Imaging and Analysis
Clara Brémond Martin1,2, Camille Simon Chane1, Cédric Clouchoux2
1ETIS Laboratory UMR 8051, CY Cergy Paris Université, ENSEA, CNRS, Cergy, France.
Frontiers in Neuroscience
|July 19, 2021
Summary
Cerebral organoid image analysis faces challenges due to data volume. This review highlights current methods and identifies needs for improved, automated analysis tools to aid research.
Area of Science:
- Neuroscience
- Developmental Biology
- Biotechnology
Background:
- Cerebral organoids, first generated in 2013, have seen exponential growth in research.
- The increasing volume of data generated from cerebral organoids poses challenges for manual analysis.
Purpose of the Study:
- To provide an overview of current image acquisition methods for cerebral organoids.
- To identify the unmet needs in image analysis tools for cerebral organoid research.
Main Methods:
- Systematic review of recent literature on cerebral organoids.
- Annotation of protocols, image acquisition techniques, and analysis algorithms used.
Main Results:
- Confocal and bright-field microscopy are the predominant imaging techniques.
- Cell counting and morphological parameter calculations are common but often semi-automated tasks.
- ImageJ and Matlab are the primary software tools, with semi-automatic analysis prevalent.
Conclusions:
- Current image analysis methods for cerebral organoids require improvement.
- Development of specific, automated analysis tools is crucial for advancing cerebral organoid research.
- Enhanced tools will support the monitoring of standardized cerebral organoid growth.
