Image Processing in the Tracking and Analysis of Red Blood Cell Motion in Micro-Circulation Experiments

Research output: Chapter in Book/Report/Conference proceedingChapter in a book

1 Citation (Scopus)

Abstract

Red blood cells constitute about 45 % of the blood cells and contain haemoglobin which facilitates transportation of oxygen. Even though RBCs usually present shapes similar to circular cushions with a dimple on the side, they can, sometimes, deform into an asymmetrical slipper shape. As RBCs are required to flow through thin capillaries to deliver oxygen to the human body, deformability is crucial when studying microcirculation. By studying their behaviour in blood vessels one can analyse the normal state of these cells and the diseased states. The insights can help to understand the mechanisms involved in arterial disease and other blood flow related conditions. The aim of this work is to analyse RBC behaviour in experimental conduits using image-based techniques. Images were acquired from a micro-channel with a contraction, where the red blood cells experience shear flow near the center-line. RBCs are tracked throughout a digital video sequence and analysed in terms of shape and deformation index at different time frames. Results show that under strong flows, RBC present an extremely deformable behaviour. RBC tracking and image processing techniques are implemented and analysed.
Original languageEnglish
Title of host publicationVisualization and Simulation of Complex Flows in Biomedical Engineering
PublisherSpringer, Dordrecht
Pages133-149
Number of pages17
ISBN (Electronic)9789400777699
ISBN (Print)9789401779173
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computational Vision and Biomechanics
PublisherSpringer Science+Business Media Dordrecht
Volume12
ISSN (Electronic)2212-9391

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