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Three-dimensional, three-vector-component velocimetry of cilia-driven fluid flow using correlation-based approaches in optical coherence tomography
Journal article   Open access   Peer reviewed

Three-dimensional, three-vector-component velocimetry of cilia-driven fluid flow using correlation-based approaches in optical coherence tomography

Brendan K. Huang, Ute A. Gamm, Vineet Bhandari, Mustafa K. Khokha and Michael A. Choma
Biomedical optics express, v 6(9), pp 3515-3538
24 Aug 2015
PMID: 26417520
url
https://doi.org/10.1364/boe.6.003515View
Published, Version of Record (VoR)CC BY V4.0 Open
url
https://doi.org/10.1364/BOE.6.003515View
Published, Version of Record (VoR) Open

Abstract

(110.4500) Optical coherence tomography (120.7250) Velocimetry (170.3340) Laser Doppler velocimetry (170.6480) Spectroscopy, speckle
Microscale quantification of cilia-driven fluid flow is an emerging area in medical physiology, including pulmonary and central nervous system physiology. Cilia-driven fluid flow is most completely described by a three-dimensional, three-component (3D3C) vector field. Here, we generate 3D3C velocimetry measurements by synthesizing higher dimensional data from lower dimensional measurements obtained using two separate optical coherence tomography (OCT)-based approaches: digital particle image velocimetry (DPIV) and dynamic light scattering (DLS)-OCT. Building on previous work, we first demonstrate directional DLS-OCT for 1D2C velocimetry measurements in the sub-1 mm/s regime (sub-2.5 inch/minute regime) of cilia-driven fluid flow in Xenopus epithelium, an important animal model of the ciliated respiratory tract. We then extend our analysis toward 3D3C measurements in Xenopus using both DLS-OCT and DPIV. We demonstrate the use of DPIV-based approaches towards flow imaging of Xenopus cerebrospinal fluid and mouse trachea, two other important ciliary systems. Both of these flows typically fall in the sub-100 μ m/s regime (sub-0.25 inch/minute regime). Lastly, we develop a framework for optimizing the signal-to-noise ratio of 3D3C flow velocity measurements synthesized from 2D2C measures in non-orthogonal planes. In all, 3D3C OCT-based velocimetry has the potential to comprehensively characterize the flow performance of biological ciliated surfaces.

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16 citations in Scopus

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Web of Science research areas
Biochemical Research Methods
Optics
Radiology, Nuclear Medicine & Medical Imaging
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