Velocimetry of red blood cells in microvessels by the dual-slit method: effect of velocity gradients.

The dual-slit is a photometric technique used for the measurement of red blood cell (RBC) velocity in microvessels. Two photometric windows (slits) are positioned along the vessel. Because the light is modulated by the RBCs flowing through the microvessel, a time dependent signal is captured for each window. A time delay between the two signals is obtained by temporal cross correlation, and is used to deduce a velocity, knowing the distance between the two slits. Despite its wide use in the field of microvascular research, the velocity actually measured by this technique has not yet been unambiguously related to a relevant velocity scale of the flow (e.g. mean or maximal velocity) or to the blood flow rate. This is due to a lack of fundamental understanding of the measurement and also because such a relationship is crucially dependent on the non-uniform velocity distribution of RBCs in the direction parallel to the light beam, which is generally unknown. The aim of the present work is to clarify the physical significance of the velocity measured by the dual-slit technique. For that purpose, dual-slit measurements were performed on computer-generated image sequences of RBCs flowing in microvessels, which allowed all the parameters related to this technique to be precisely controlled. A parametric study determined the range of optimal parameters for the implementation of the dual-slit technique. In this range, it was shown that, whatever the parameters governing the flow, the measured velocity was the maximal RBC velocity found in the direction parallel to the light beam. This finding was then verified by working with image sequences of flowing RBCs acquired in PDMS micro-systems in vitro. Besides confirming the results and physical understanding gained from the study with computer generated images, this in vitro study showed that the profile of RBC maximal velocity across the channel was blunter than a parabolic profile, and exhibited a non-zero sliding velocity at the channel walls. Overall, the present work demonstrates the robustness and high accuracy of the optimized dual-slit technique in various flow conditions, especially at high hematocrit, and discusses its potential for applications in vivo.

[1]  M Intaglietta,et al.  Capillary flow velocity measurements in vivo and in situ by television methods. , 1975, Microvascular research.

[2]  W. Terry,et al.  Particle Image Velocimetry , 2009 .

[3]  L. Lourenço Particle Image Velocimetry , 1989 .

[4]  M. L. Ellsworth,et al.  Estimation of red cell flow microvessels: consequences of the Baker-Wayland spatial averaging model. , 1986, Microvascular research.

[5]  H. Wayland Photosensor methods of flow measurement in the microcirculation. , 1973, Microvascular research.

[6]  Yuying Liu,et al.  Determination of erythrocyte flow velocity by dynamic grey scale measurement using off-line image analysis. , 2009, Clinical hemorheology and microcirculation.

[7]  P. Gaehtgens,et al.  Evaluation of the photometric double slit velocity measuring method in tubes 25 to 130 bore. , 1969, Bibliotheca anatomica.

[8]  S. Shevkoplyas,et al.  Prototype of an in vitro model of the microcirculation. , 2003, Microvascular research.

[9]  H. Madarame,et al.  Velocity measurement of both red blood cells and plasma of in vitro blood flow using high-speed micro PIV technique , 2005 .

[10]  A. Pries,et al.  Red cell distribution at microvascular bifurcations. , 1989, Microvascular research.

[11]  Bruce K. Gale,et al.  Determining the optimal PDMS–PDMS bonding technique for microfluidic devices , 2008 .

[12]  P. S. Ramalho Microcirculation and hemorheology. , 1983, Acta medica portuguesa.

[13]  Aleksander S Popel,et al.  Microcirculation and Hemorheology. , 2005, Annual review of fluid mechanics.

[14]  Luigi Fortuna,et al.  An Improved Instrument for Real-Time Measurement of Blood Flow Velocity in Microvessels , 2007, IEEE Transactions on Instrumentation and Measurement.

[15]  G. Whitesides,et al.  Fabrication of microfluidic systems in poly(dimethylsiloxane) , 2000, Electrophoresis.

[16]  Role of flow dispersion in the computation of microvascular flows by the dual-slit method. , 1989, Microvascular research.

[17]  G. Whitesides,et al.  Poly(dimethylsiloxane) as a material for fabricating microfluidic devices. , 2002, Accounts of chemical research.

[18]  M. Gharib,et al.  On errors of digital particle image velocimetry , 1997 .

[19]  E. Kaliviotis,et al.  The effect of red blood cell aggregation on velocity and cell-depleted layer characteristics of blood in a bifurcating microchannel. , 2012, Biomicrofluidics.

[20]  H J Meiselman,et al.  Velocity profiles of human blood at normal and reduced hematocrit in glass tubes up to 130 diameter. , 1970, Microvascular research.

[21]  F. Sapuppo,et al.  Functional optical imaging at the microscopic level. , 2010, Journal of biomedical optics.

[22]  A. Pries,et al.  Blood flow in microvascular networks. Experiments and simulation. , 1990, Circulation research.

[23]  A. Pries,et al.  Observations on the Accuracy of Photometric Techniques Used to Measure Some In Vivo Microvascular Blood Flow Parameters , 1998, Microcirculation.

[24]  Jürgen Kompenhans,et al.  Particle Image Velocimetry - A Practical Guide (2nd Edition) , 2007 .

[25]  G. Schmid-Schönbein,et al.  The application of an improved dual-slit photometric analyzer for volumetric flow rate measurements in microvessels. , 1983, Microvascular research.

[26]  T. Ishikawa,et al.  In vitro blood flow in a rectangular PDMS microchannel: experimental observations using a confocal micro-PIV system , 2008, Biomedical microdevices.

[27]  Markus Raffel,et al.  Particle Image Velocimetry: A Practical Guide , 2002 .

[28]  Peng Kai Ong,et al.  Spatio-temporal variations in cell-free layer formation near bifurcations of small arterioles. , 2012, Microvascular research.

[29]  Roland N. Pittman,et al.  Determination of Red Blood Cell Velocity by Video Shuttering and Image Analysis , 1999, Annals of Biomedical Engineering.

[30]  R. Lima,et al.  Confocal micro-PIV measurements of three-dimensional profiles of cell suspension flow in a square microchannel , 2006 .

[31]  Hiromi Sakai,et al.  Peculiar flow patterns of RBCs suspended in viscous fluids and perfused through a narrow tube (25 microm). , 2009, American journal of physiology. Heart and circulatory physiology.

[32]  Microphotometric determination of hematocrit in small vessels. , 1983, The American journal of physiology.

[33]  Mary Baker,et al.  Double-Slit Photometric Measurement of Velocity Profiles of Blood in Microvessels and Capillary Tubes , 1972 .

[34]  S Chien,et al.  Hematocrit determination in small bowel bore tubes from optical density measurements under white light illumination. , 1980, Microvascular research.

[35]  A. Pries,et al.  Corrections and Retraction , 2004 .

[36]  M. Baker,et al.  On-line volume flow rate and velocity profile measurement for blood in microvessels. , 1974, Microvascular research.

[37]  G. Plantier,et al.  Red blood cell velocity estimation in microvessels using the spatiotemporal autocorrelation , 2005 .

[38]  P. Cabrales,et al.  MICROCIRCULATORY EFFECTS OF CHANGING BLOOD HEMOGLOBIN OXYGEN AFFINITY DURING HEMORRHAGIC SHOCK RESUSCITATION IN AN EXPERIMENTAL MODEL , 2009, Shock.

[39]  Sangho Kim,et al.  Effect of erythrocyte aggregation and flow rate on cell-free layer formation in arterioles. , 2010, American journal of physiology. Heart and circulatory physiology.

[40]  M Intaglietta,et al.  The correlation of photometric signals derived from in vivo red blood cell flow in microvessels. , 1974, Microvascular research.

[41]  P. Gaehtgens,et al.  Erythrocyte flow velocities in mesenteric microvessels of the cat. , 1970, Microvascular research.

[42]  H Wayland,et al.  Erythrocyte velocity measurement in microvessels by a two-slit photometric method. , 1967, Journal of applied physiology.