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Updated: Sep 23, 2026

Label-free, High-Resolution 3D Imaging and Machine Learning Analysis of Intestinal Organoids via Low-Coherence Holotomography
Published on: August 12, 2025
Automated processing pipeline for functional imaging of human cardiac organoids using optical coherence tomography
Kechao Lu1, Erin C O'Kane1, Wan Wang1
1Department of Biomedical Engineering, Duke University, Durham, NC 27708, USA.
Abstract:
Structural and functional assessment of human cardiac organoids (hCOs) is essential for pharmaceutical drug screening and disease modeling. Existing evaluation approaches have provided valuable insights, but many rely on invasive sensors that may influence contractility, or on 2D imaging approaches that are constrained by geometric assumptions and restrict field of view. To address these challenges, we present a non-invasive imaging approach using 4D optical coherence tomography (4D-OCT) to reconstruct a synchronized, volumetric video of beating hCOs by denoising, segmenting, and synchronizing adjacent time-series B-scan stacks. We used 4D-OCT to visualize the morphological deformation of beating hCOs, enabling quantification of chamber deformation ratio (CDR) and deformation fraction (DF). Ultimately, our 4D-OCT pipeline measured an 8-fold higher DF in the vascular endothelial growth factor-treated hCO compared to the control hCO for proof of concept. These findings demonstrate the feasibility of performing non-invasive functional assessment, paving the way for advanced cardiac disease modeling and drug screening in hCOs using 4D-OCT.
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