Open AccessParticle streak velocimetry-optical coherence tomography: a novel method for multidimensional imaging of microscale fluid flows
Author(s) -
Kevin C. Zhou,
Brendan K. Huang,
Ute A. Gamm,
Vineet Bhandari,
Mustafa K. Khokha,
Michael A. Choma
Publication year - 2016
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.7.001590
Subject(s) - microscale chemistry , optical coherence tomography , particle tracking velocimetry , streak , particle image velocimetry , velocimetry , optics , physics , flow (mathematics) , flow velocity , vector field , streak camera , fluid dynamics , mechanics , mathematics , laser , turbulence , mathematics education
We present a new OCT method for flow speed quantification and directional velocimetry: particle streak velocimetry-OCT (PSV-OCT). PSV-OCT generates two-dimensional, 2.5-vector component (vx ,|vy |,vz ) maps of microscale flow velocity fields. Knowledge of 2.5-vector components also enables the estimation of total flow speed. The enabling insight behind PSV-OCT is that tracer particles in sparsely-seeded fluid flow trace out streaks in (x,z,t)-space. The streak orientations in x-t and z-t yield vx and vz , respectively. The in-plane (x-z plane) residence time yields the out-of-plane speed |vy |. Vector component values are generated by fitting streaks to a model of image formation that incorporates equations of motion in 3D space. We demonstrate cross-sectional estimation of (vx ,|vy |,vz ) in two important animal models in ciliary biology: Xenopus embryos (tadpoles) and mouse trachea.