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Pablo Menichini

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Proceedings Article | 19 June 2015 Paper

Automatic analysis of microscopic images of red blood cell aggregates

Pablo Menichini, Mónica Larese, Bibiana Riquelme

Proceedings Volume 9531, 953132 (2015) https://doi.org/10.1117/12.2181110

KEYWORDS: Blood, Image segmentation, Image processing, Image analysis, Biological research, Biochemistry, Plasma, Floods, Biomedical optics, Image processing algorithms and systems

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Red blood cell aggregation is one of the most important factors in blood viscosity at stasis or at very low rates of flow. The basic structure of aggregates is a linear array of cell commonly termed as rouleaux. Enhanced or abnormal aggregation is seen in clinical conditions, such as diabetes and hypertension, producing alterations in the microcirculation, some of which can be analyzed through the characterization of aggregated cells. Frequently, image processing and analysis for the characterization of RBC aggregation were done manually or semi-automatically using interactive tools. We propose a system that processes images of RBC aggregation and automatically obtains the characterization and quantification of the different types of RBC aggregates. Present technique could be interesting to perform the adaptation as a routine used in hemorheological and Clinical Biochemistry Laboratories because this automatic method is rapid, efficient and economical, and at the same time independent of the user performing the analysis (repeatability of the analysis).

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