17 March 2016 Measurement of ciliary beat frequency using ultra-high resolution optical coherence tomography
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Abstract
Ciliated epithelial cells populate up to 80% of the surface area of the human airway and are responsible for mucociliary transport, which is the key protective mechanism that provides the first line of defense in the respiratory tract. Cilia beat in a rhythmic pattern and may be easily affected by allergens, pollutants, and pathogens, altering ciliary beat frequency (CBF) subsequently. Diseases including cystic fibrosis, chronic obstructive pulmonary disease, and primary ciliary dyskinesia may also decrease CBF. CBF is therefore a critical component of respiratory health. The current clinical method of measuring CBF is phase-contrast microscopy, which involves a tissue biopsy obtained via brushing of the nasal cavity. While this method is minimally invasive, the tissue sample must be oriented to display its profile view, making the visualization of a single layer of cilia challenging. In addition, the conventional method requires subjective analysis of CBF, e.g., manually counting by visual inspection. On the contrary, optical coherence tomography (OCT) has been used to study the retina in ophthalmology as well as vasculature in cardiology, and offers higher resolution than conventional computed tomography and magnetic resonance imaging. Based on this technology, our lab specifically developed an ultra-high resolution OCT system to image the microstructure of the ciliated epithelial cells. Doppler analysis was also performed to determine CBF. Lastly, we also developed a program that utilizes fast Fourier transform to determine CBF under phase-contrast microscopy, providing a more objective method compared to the current method.
Conference Presentation
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Jason J. Chen, Joseph C. Jing, Erica Su, Christopher Badger, Carolyn A. Coughlan, Zhongping Chen, Brian J. F. Wong, "Measurement of ciliary beat frequency using ultra-high resolution optical coherence tomography", Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 968926 (17 March 2016); doi: 10.1117/12.2228181; https://doi.org/10.1117/12.2228181
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