Abstract
This article propose a methodology to estimate the orientation of red blood cells flowing in laboratory microfluidic devices. Inputs for this methodology is a video output from the laboratory experiment, with an assumption that cells have a moderate deformation in the microfluidic device. This methodology is based on a hypothesis, that we can identify the position and inclination of the cell if we know the dimensions of its 2D projection. We applied the methodology to cells from numerical simulations. We compared the exact values of extremal cell point coordinates, with the values obtained only with a restricted knowledge about the bounding box of the 2D projection of the cell. We identified the accuracy of estimating the information about the 3D position of the cell from the 2D projection data. We found a good agreement mainly for estimation of the 3rd dimension of the cell’s bounding box, when we know only the two dimensions of the bounding box of the 2D projection of the cell.
This work was supported by the Slovak Research and Development Agency (contract number APVV-15-0751) and by the Ministry of Education, Science, Research and Sport of the Slovak Republic (contract No. VEGA 1/0643/17).
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Kovalcikova, K., Duracik, M. (2020). Method of Detecting Orientation of Red Blood Cells Based on Video Data. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2020. Lecture Notes in Computer Science(), vol 12108. Springer, Cham. https://doi.org/10.1007/978-3-030-45385-5_70
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DOI: https://doi.org/10.1007/978-3-030-45385-5_70
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