Literature DB >> 28918110

Emergent behaviors in RBCs flows in micro-channels using digital particle image velocimetry.

F Cairone1, D Ortiz2, P J Cabrales2, M Intaglietta2, M Bucolo3.   

Abstract

The key points in the design of microfluidic Lab-On-a-Chips for blood tests are the simplicity of the microfluidic chip geometry, the portability of the monitoring system and the ease on-chip integration of the data analysis procedure. The majority of those, recently designed, have been used for blood separation, however their introduction, also, for pathological conditions diagnosis would be important in different biomedical contexts. To overcome this lack is necessary to establish the relation between the RBCs flow and blood viscosity changes in micro-vessels. For that, the development of methods to analyze the dynamics of the RBCs flows in networks of micro-channels becomes essential in the study of RBCs flows in micro-vascular networks. A simplification in the experimental set-up and in the approach for the data collection and analysis could contribute significantly to understand the relation between the blood non-Newtonian properties and the emergent behaviors in collective RBCs flows. In this paper, we have investigated the collective behaviors of RBCs in a micro-channel in unsteady conditions, using a simplified monitoring set-up and implementing a 2D image processing procedure based on the digital particle image velocimetry. Our experimental study consisted in the analysis of RBCs motions freely in the micro-channel and driven by an external pressure. Despite the equipment minimal complexity, the advanced signal processing method implemented has allowed a significant qualitative and quantitative classification of the RBCs behaviors and the dynamical characterization of the particles velocities along both the horizontal and vertical directions. The concurrent causes for the particles displacement as the base solution-particles interaction, particle-particle interaction, and the external force due to pressure gradient were accounted in the results interpretation. The method implemented and the results obtained represent a proof of concept toward the realization of a general-purpose microfluidic LOC device for in-vitro flow analysis of RBCs collective behaviors.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28918110      PMCID: PMC7243346          DOI: 10.1016/j.mvr.2017.09.003

Source DB:  PubMed          Journal:  Microvasc Res        ISSN: 0026-2862            Impact factor:   3.514


  26 in total

1.  Shape memory of human red blood cells.

Authors:  Thomas M Fischer
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

2.  A polymeric micro-optical interface for flow monitoring in biomicrofluidics.

Authors:  Francesca Sapuppo; Andreu Llobera; Florinda Schembri; Marcos Intaglietta; Victor J Cadarso; Maide Bucolo
Journal:  Biomicrofluidics       Date:  2010-05-24       Impact factor: 2.800

3.  Microcirculation and Hemorheology.

Authors:  Aleksander S Popel; Paul C Johnson
Journal:  Annu Rev Fluid Mech       Date:  2005-01-01       Impact factor: 18.511

4.  Bio-Microfluidics Real-Time Monitoring Using CNN Technology.

Authors:  F Sapuppo; M Intaglietta; M Bucolo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2008-06       Impact factor: 3.833

Review 5.  The cell-free layer in microvascular blood flow.

Authors:  Sangho Kim; Peng Kai Ong; Ozlem Yalcin; Marcos Intaglietta; Paul C Johnson
Journal:  Biorheology       Date:  2009       Impact factor: 1.875

6.  Full dynamics of a red blood cell in shear flow.

Authors:  Jules Dupire; Marius Socol; Annie Viallat
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-03       Impact factor: 11.205

7.  The effect of red blood cell aggregation on velocity and cell-depleted layer characteristics of blood in a bifurcating microchannel.

Authors:  J M Sherwood; J Dusting; E Kaliviotis; S Balabani
Journal:  Biomicrofluidics       Date:  2012-05-11       Impact factor: 2.800

Review 8.  Multiscale modeling of blood flow: from single cells to blood rheology.

Authors:  Dmitry A Fedosov; Hiroshi Noguchi; Gerhard Gompper
Journal:  Biomech Model Mechanobiol       Date:  2013-05-14

9.  A microfluidic device for simultaneous measurement of viscosity and flow rate of blood in a complex fluidic network.

Authors:  Yang Jun Kang; Eunseop Yeom; Sang-Joon Lee
Journal:  Biomicrofluidics       Date:  2013-10-01       Impact factor: 2.800

10.  Quantitative studies on the flicker phenomenon in the erythrocytes.

Authors:  A L Burton; W L Anderson; R V Andrews
Journal:  Blood       Date:  1968-11       Impact factor: 22.113

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