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Data from: Parallelized Brightfield and Fluorescence Imaging of Organoids Using a Scalable Multi-Camera Platform

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DataCite Commons2025-10-03 更新2026-04-25 收录
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https://idn.duke.edu/ark:/87924/r49k4mh5t
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Organoid viability, maturation, and growth are typically assessed using brightfield and fluorescence microscopy with a single objective lens. However, traditional microscopy systems have notable limitations for high-throughput applications, especially in large-scale experiments where simultaneous imaging of multiple organoids is required, demanding higher throughput. There is a clear need for systems that can quickly and consistently capture organoid growth while minimizing disruptions to culture conditions. In this work, we introduce a new multi-camera array scanner (MCAS) that accelerates imaging by using 48 objective lenses and sensors simultaneously, achieving a 95% reduction in acquisition time compared to standard commercial high-content imagers. We validate this system across various well-plate formats, including both 2D and 3D neural cell cultures, and for both brightfield and fluorescence imaging. The MCAS enhances the efficiency of tracking organoid growth, evaluating responses to morphogens and drugs, and assessing viral transduction efficiency. These results position the MCAS as a scalable and adaptable imaging platform for rapid phenotyping in organoid research.
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Duke Research Data Repository
创建时间:
2025-10-03
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