Design of a Side-View Particle Imaging Velocimetry Flow System for Cell-Substrate Adhesion StudiesSource: Journal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 002::page 271Author:Jordan Leyton-Mange
,
Robert F. Kunz
,
Jeffrey D. Zahn
,
Cheng Dong
,
Sung Yang
,
Meghan H. Hoskins
DOI: 10.1115/1.2165689Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Experimental models that mimic the flow conditions in microcapillaries have suggested that the local shear stresses and shear rates can mediate tumor cell and leukocyte arrest on the endothelium and subsequent sustained adhesion. However, further investigation has been limited by the lack of experimental models that allow quantitative measurement of the hydrodynamic environment over adherent cells. The purpose of this study was to develop a system capable of acquiring quantitative flow profiles over adherent cells. By combining the techniques of side-view imaging and particle image velocimetry (PIV), an in vitro model was constructed that is capable of obtaining quantitative flow data over cells adhering to the endothelium. The velocity over an adherent leukocyte was measured and the shear rate was calculated under low and high upstream wall shear. The microcapillary channel was modeled using computational fluid dynamics (CFD) and the calculated velocity profiles over cells under the low and high shear rates were compared to experimental results. The drag force applied to each cell by the fluid was then computed. This system provides a means for future study of the forces underlying adhesion by permitting characterization of the local hydrodynamic conditions over adherent cells.
keyword(s): Particulate matter , Shear (Mechanics) , Computational fluid dynamics , Design , Imaging , Leukocytes , Flow (Dynamics) AND Channels (Hydraulic engineering) ,
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contributor author | Jordan Leyton-Mange | |
contributor author | Robert F. Kunz | |
contributor author | Jeffrey D. Zahn | |
contributor author | Cheng Dong | |
contributor author | Sung Yang | |
contributor author | Meghan H. Hoskins | |
date accessioned | 2017-05-09T00:18:58Z | |
date available | 2017-05-09T00:18:58Z | |
date copyright | April, 2006 | |
date issued | 2006 | |
identifier issn | 0148-0731 | |
identifier other | JBENDY-26594#271_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/133211 | |
description abstract | Experimental models that mimic the flow conditions in microcapillaries have suggested that the local shear stresses and shear rates can mediate tumor cell and leukocyte arrest on the endothelium and subsequent sustained adhesion. However, further investigation has been limited by the lack of experimental models that allow quantitative measurement of the hydrodynamic environment over adherent cells. The purpose of this study was to develop a system capable of acquiring quantitative flow profiles over adherent cells. By combining the techniques of side-view imaging and particle image velocimetry (PIV), an in vitro model was constructed that is capable of obtaining quantitative flow data over cells adhering to the endothelium. The velocity over an adherent leukocyte was measured and the shear rate was calculated under low and high upstream wall shear. The microcapillary channel was modeled using computational fluid dynamics (CFD) and the calculated velocity profiles over cells under the low and high shear rates were compared to experimental results. The drag force applied to each cell by the fluid was then computed. This system provides a means for future study of the forces underlying adhesion by permitting characterization of the local hydrodynamic conditions over adherent cells. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Design of a Side-View Particle Imaging Velocimetry Flow System for Cell-Substrate Adhesion Studies | |
type | Journal Paper | |
journal volume | 128 | |
journal issue | 2 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.2165689 | |
journal fristpage | 271 | |
journal lastpage | 278 | |
identifier eissn | 1528-8951 | |
keywords | Particulate matter | |
keywords | Shear (Mechanics) | |
keywords | Computational fluid dynamics | |
keywords | Design | |
keywords | Imaging | |
keywords | Leukocytes | |
keywords | Flow (Dynamics) AND Channels (Hydraulic engineering) | |
tree | Journal of Biomechanical Engineering:;2006:;volume( 128 ):;issue: 002 | |
contenttype | Fulltext |