KEYWORDS: Optical sensing, Optical coherence tomography, 3D modeling, Pulmonary disorders, Pathogens, Real time imaging, Lung, In vitro testing, Diagnostics, 3D image processing
Airway organoid is a three-dimensional (3D) epithelial models for human airway where ciliary behaviors are important to indicate their health state. A real-time noninvasive imaging technique to assess the ciliary movement in airway organoids in vitro is highly demanded. Here we propose a new imaging approach to monitor the ciliary beating of airway organoids noninvasively using dynamic contrast optical coherence tomography (DyC-OCT). We employed DyC-OCT to measure the ciliary beating frequency (CBF) and to highlight ciliary beating clusters distribution in 3D. With DyC-OCT, we monitored the morphology change in ciliary beating clusters as well as the change in CBF from the same organoids during the respiratory syncytial virus (RSV) infection. The capability of DyC-OCT in ciliary beating monitoring shows its potential for respiratory disease diagnosis and pathogen assay.
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