Computed aided system for separation and classification of the abnormal erythrocytes in human blood

Michał Wąsowicz; Michał Grochowski; Marek Kulka; Agnieszka Mikołajczyk; Mateusz Ficek; Katarzyna Karpieńko; Maciej Cićkiewicz

doi:10.1117/12.2297218

7 December 2017 Computed aided system for separation and classification of the abnormal erythrocytes in human blood

Michał Wąsowicz, Michał Grochowski, Marek Kulka, Agnieszka Mikołajczyk, Mateusz Ficek, Katarzyna Karpieńko, Maciej Cićkiewicz

Author Affiliations +

Proceedings Volume 10592, Biophotonics—Riga 2017; 105920A (2017) https://doi.org/10.1117/12.2297218
Event: The Second International Conference "Biophotonics-Riga 2017", 2017, Riga, Latvia

Abstract

The human peripheral blood consists of cells (red cells, white cells, and platelets) suspended in plasma. In the following research the team assessed an influence of nanodiamond particles on blood elements over various periods of time. The material used in the study consisted of samples taken from ten healthy humans of various age, different blood types and both sexes. The markings were leaded by adding to the blood unmodified diamonds and oxidation modified. The blood was put under an impact of two diamond concentrations: 20μl and 100μl. The amount of abnormal cells increased with time. The percentage of echinocytes as a result of interaction with nanodiamonds in various time intervals for individual specimens was scarce. The impact of the two diamond types had no clinical importance on red blood cells. It is supposed that as a result of longlasting exposure a dehydratation of red cells takes place, because of the function of the cells. The analysis of an influence of nanodiamond particles on blood elements was supported by computer system designed for automatic counting and classification of the Red Blood Cells (RBC). The system utilizes advanced image processing methods for RBCs separation and counting and Eigenfaces method coupled with the neural networks for RBCs classification into normal and abnormal cells purposes.

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Michał Wąsowicz, Michał Grochowski, Marek Kulka, Agnieszka Mikołajczyk, Mateusz Ficek, Katarzyna Karpieńko, and Maciej Cićkiewicz "Computed aided system for separation and classification of the abnormal erythrocytes in human blood", Proc. SPIE 10592, Biophotonics—Riga 2017, 105920A (7 December 2017); https://doi.org/10.1117/12.2297218

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