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      Microfluidic characterization of cilia-driven fluid flow using optical coherence tomography-based particle tracking velocimetry

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          Abstract

          Motile cilia are cellular organelles that generate directional fluid flow across various epithelial surfaces including the embryonic node and respiratory mucosa. The proper functioning of cilia is necessary for normal embryo development and, for the respiratory system, the clearance of mucus and potentially harmful particulate matter. Here we show that optical coherence tomography (OCT) is well-suited for quantitatively characterizing the microfluidic-scale flow generated by motile cilia. Our imaging focuses on the ciliated epithelium of Xenopus tropicalis embryos, a genetically manipulable and experimentally tractable animal model of human disease. We show qualitative flow profile characterization using OCT-based particle pathline imaging. We show quantitative, two-dimensional, two-component flow velocity field characterization using OCT-based particle tracking velocimetry. Quantitative imaging and phenotyping of cilia-driven fluid flow using OCT will enable more detailed research in ciliary biology and in respiratory medicine.

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          Most cited references39

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          Optical coherence tomography.

          A technique called optical coherence tomography (OCT) has been developed for noninvasive cross-sectional imaging in biological systems. OCT uses low-coherence interferometry to produce a two-dimensional image of optical scattering from internal tissue microstructures in a way that is analogous to ultrasonic pulse-echo imaging. OCT has longitudinal and lateral spatial resolutions of a few micrometers and can detect reflected signals as small as approximately 10(-10) of the incident optical power. Tomographic imaging is demonstrated in vitro in the peripapillary area of the retina and in the coronary artery, two clinically relevant examples that are representative of transparent and turbid media, respectively.
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            ENGINEERING FLOWS IN SMALL DEVICES

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              Particle-Imaging Techniques for Experimental Fluid Mechanics

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                Author and article information

                Journal
                Biomed Opt Express
                BOE
                Biomedical Optics Express
                Optical Society of America
                2156-7085
                22 June 2011
                01 July 2011
                22 June 2011
                : 2
                : 7
                : 2022-2034
                Affiliations
                [1 ]Department of Diagnostic Radiology, Yale University School of Medicine, New Haven, CT 06520, USA
                [2 ]Departments of Computer Science and Medical Computing, RWTH Aachen University, Pauwelsstraße 30, 52074 Aachen, Germany
                [3 ]Department of Pediatrics, Yale University School of Medicine, New Haven, CT 06520, USA
                [4 ]Department of Genetics, Yale University School of Medicine, New Haven, CT 06520, USA
                Author notes
                Article
                147592
                10.1364/BOE.2.002022
                3130586
                21750777
                cc5aff90-930f-4068-877d-f1e3a841a29c
                ©2011 Optical Society of America

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially.

                History
                : 17 May 2011
                : 16 June 2011
                : 19 June 2011
                Categories
                Optical Coherence Tomography
                Custom metadata
                True
                0

                Vision sciences
                (110.4153) motion estimation and optical flow,(280.2490) flow diagnostics,(110.4500) optical coherence tomography,(170.3880) medical and biological imaging

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