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2020 | OriginalPaper | Chapter

Automated Tracking of Red Blood Cells in Images

Authors : František Kajánek, Ivan Cimrák, Peter Tarábek

Published in: Bioinformatics and Biomedical Engineering

Publisher: Springer International Publishing

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Abstract

Computer simulations of processes inside microfluidic devices often require validation data from experiments with biological cells. Besides single cell experiments, data involving flow of many cells can be used to validate many-cell behaviour. Manual data gathering from such experiments, such as video sequence of cell flow, is inefficient and needs to be automated. Building on top of an automated detection of red blood cells, tracking of red blood cells is needed in order to provide physical data about each cell. In this work, we first describe our existing traditional algorithms for cell tracking. We assess the possible metrics for measuring their performance and iterate upon the flaws of our algorithm in order to design improvements and propose a neural network solution.

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Title: Automated Tracking of Red Blood Cells in Images
Authors: František Kajánek
Ivan Cimrák
Peter Tarábek
Publisher: Springer International Publishing
Book: Bioinformatics and Biomedical Engineering
Print ISBN: 978-3-030-45384-8

Electronic ISBN: 978-3-030-45385-5

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-3-030-45385-5_71

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