Presentation
5 March 2021 Wide-field mapping of upper airway cilia dynamics using spectrally encoded interferometric microscopy
Author Affiliations +
Abstract
Spectrally encoded interferometric microscopy (SEIM) is capable of detecting nanometer displacement at a frame rate in the kilohertz regime. By employing a wavelength-sweeping laser and a spectral disperser, SEIM can achieve en face imaging via one-axis scanning. In this study, we compared different processing algorithms for visualizing cilia-induced motion. Our Doppler-based method, combined with phase stabilization and bulk motion correction, provides the highest sensitivity for measuring ciliary beating frequency amongst the tested methods. Traveling waves induced by coordinated cilia motion were visualized. These results demonstrate the potential clinical utility of SEIM for monitoring respiratory function and therapeutic effects.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhikai Zhu, Jason J. Chen, Yusi Miao, David Mukai, George Philipopoulos, Melina Doosty, Jangwoen Lee, Sari Mahon, Matthew Brenner, Brian J. F. Wong, and Zhongping Chen "Wide-field mapping of upper airway cilia dynamics using spectrally encoded interferometric microscopy", Proc. SPIE 11627, Photonic Therapeutics and Diagnostics in Dentistry, Head and Neck Surgery, and Otolaryngology, 1162708 (5 March 2021); https://doi.org/10.1117/12.2578007
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KEYWORDS
Interferometry

Microscopy

Doppler effect

Visualization

Optical imaging

Particles

Pathogens

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