1. Academic Validation
  2. Parallelized Brightfield and Fluorescence Imaging of Organoids Using a Scalable Multi-Camera Platform

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

  • bioRxiv. 2025 Oct 8:2025.10.07.681020. doi: 10.1101/2025.10.07.681020.
Kanghyun Kim 1 Rubal Singla 2 Amey Chaware 1 Jieun Park 2 3 Ina Klockner 2 Josh Lerner 1 Kevin Li 1 Fanghong Shen 1 Clay Dugo 4 Paul Reamey 4 Aurélien Bègue 4 Mark Harfouche 4 Jason L Stein 2 3 5 Roarke Horstmeyer 1
Affiliations

Affiliations

  • 1 Department of Biomedical Engineering, Duke University, Durham, NC, USA.
  • 2 UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • 3 Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • 4 Ramona Optics Inc., Durham, NC, USA.
  • 5 Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Abstract

Organoid viability, maturation, and growth is commonly assayed through brightfield and fluorescence microscopy using a single objective lens. However, standard microscopic imaging systems pose significant limitations for high-throughput applications, particularly in large-scale experiments where simultaneous imaging of multiple organoids requires increased throughput. There is a strong need for systems that can capture Organoid growth rapidly and consistently while minimizing disturbances to culture conditions. Here, we present a novel multi-camera array scanner (MCAS) that parallelizes imaging through the simultaneous use of 48 objective lenses and sensors, resulting in a 95% reduction in acquisition times compared to commercial high-content imagers. We demonstrate and validate this system in multiple well plate formats, in both 2D and 3D neural cell cultures, and in brightfield and fluorescence. The MCAS improves efficiency for measuring Organoid growth rates, assessing responses to morphogens and drugs, and measuring viral transduction efficiency. Together, these findings establish the MCAS as a scalable and versatile imaging platform for rapid phenotyping in Organoid Research.

Keywords

Automation technology; Cortical brain organoids; Drug screening; Fluorescent imaging; High-throughput imaging; Microscopy.

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