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Method Article

Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

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DOI:

10.3791/50314

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April 25th, 2013

In This Article

Summary

Micro-particle image velocimetry (μPIV) is used to visualize paired images of micro particles seeded in blood flows which are cross-correlated to give an accurate velocity profile. Shear rate, maximum velocity, velocity profile shape, and flow rate, each of which has clinical applications, can be derived from these measurements.

Abstract

Micro-particle image velocimetry (μPIV) is used to visualize paired images of micro particles seeded in blood flows. The images are cross-correlated to give an accurate velocity profile. A protocol is presented for μPIV measurements of blood flows in microchannels. At the scale of the microcirculation, blood cannot be considered a homogeneous fluid, as it is a suspension of flexible particles suspended in plasma, a Newtonian fluid. Shear rate, maximum velocity, velocity profile shape, and flow rate can be derived from these measurements. Several key parameters such as focal depth, particle concentration, and system compliance, are presented in order to ensure accurate, useful data along with examples and representative results for various hematocrits and flow conditions.

Introduction

The human body contains numerous vessels with diameters less than 50 μm, which are the main exchange site between blood and tissues. The study of blood flow in these vessels represents a considerable challenge due to both the scale of the measurements and the fluid properties of blood. These measurements, including the pressure gradient, the shear at the wall, and velocity profiles in arterioles and venules, are key factors linked with physiological responses. There are now unprecedented opportunities to resolve these measurement challenges, thanks to new experimental techniques at the micro scale to study the microcirculation and solve this multiscale problem.

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Protocol

1. Microchip Fabrication

The first step is to create or purchase your microchannel. There are many options for microchip material.

One of the most common materials chosen is poly(dimethylsiloxane) (PDMS). There are many publications on directions for PDMS fabrication through soft lithography 16,17,18.

Once the PDMS channel is fabricated, there are several surface treatments available to reverse its natural hydrophobicity. Oxygenated plasma treatment is a common option.

Zhou, Ellis, and Voelcker (2009) give a review of surface treatments and how they....

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Results

In all figures, flow is left to right in raw images, and upwards in calculated velocity profiles. An example of the raw data obtained with blood at hematocrit H=10 flowing at 10 μl/hr is shown in Figure 2. Raw data may be cross-correlated without any data processing to achieve velocity profiles. The impact of pre-processing and data processing methods is discussed by Pitts, et al., (2012b). An example of a resultant velocity profiles from data similar to Figure 2 at hematorcrit .......

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Discussion

Using μPIV for blood flow measurements at the scale of the microcirculation can give insight into a great number of relevant biomedical, mechanical and chemical engineering processes. Some of the key factors to account for are the density of the RBC themselves, the aggregation and deformability of the RBC, aggregation or movement of the fluorescing micro particles, and the settling of the RBC in the channels. All of these can be accounted for if the general guidelines laid out above are followed. There is a basic chec.......

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Disclosures

The authors have nothing to disclose.

Acknowledgements

The authors would like to thank NSERC (Natural Sciences and Engineering Council of Canada) for funding, Catherine Pagiatikis for her help in initial runs, Sura Abu-Mallouh and Frederick Fahim for testing the protocol, Richard Prevost of LaVision, Inc for technical support, and Guy Cloutier of the University of Montréal for the loan of the Dalsa high-speed camera.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
poly(dimethylsiloxane) (PDMS), i.e. Sylgard-184Dow-Corning3097358-1004
ethylenediaminetetraacetic acid (EDTA)Sigma AldrichE9884-100G
poshpate buffered saline (PBS)Sigma AldrichP5368-10PAK
fluorescing micro particlesMicrogenics/FisherSciR900
glycerol (OPTIONAL)Sigma AldrichG6279-500 ml
microcentrifuge, i.e. CritSpinFisherSci22-269-291
syringe, i.e. 50 μl GastightHamilton80965
camera, i.e. Imager Intense, high speedLaVision, DalsaImager Intense
microscope, i.e. MITASLaVisionMITAS
Nd:YAG laserNew Wave ResearchSolo-II
syringe pump, i.e. Nexus3000Chemyx, Inc.Nexus-3000
flexible tubing, i.e. TygonFisherSci14-169-1A
data processing software, i.e. DaVisLaVisionDaVis
centrifuge, i.e. Thermo Scientific CL2Thermo Scientific004260F

References

  1. Santiago, J. G., Wereley, S. T., Meinhart, C. D. A particle image velocimetry system for microfluidics. Experiments in Fluids. 25, 316-319 (1998).
  2. Evaluation of Velocity Measurement in Micro Tube by Highly Accurate PIV Technique. Sugii, Y., Okamoto, K., Nishio, S., Nakano, A. 4th International Symposium on Particle Image Velocimetry (PIV '01), 17-19 Sept. 2001, , 1-5 (2001).
  3. Park, J. S., Choi, C. K., Kihm, K. D.

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Tags

Microchannel Flow AnalysisParticle Image CorrelationFluorescent Tracer ParticlesBlood Sample PreparationLaser Imaging SystemSyringe Pump CalibrationHematocrit Effects