Processing of Cells’ Trajectories Data for Blood Flow Simulation Model*
Simulations of the red blood cells (RBCs) flow as a movement of elastic objects in a fluid, are developed to optimize microfluidic devices used for a blood sample analysis for diagnostic purposes in the medicine. Tracking cell behaviour during simulation helps to improve the model and adjust its par...
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EDP Sciences
2018-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2018/15/epjconf_efm2018_02092.pdf |
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doaj-dbf45ade982e447fa9f83fcf269422942021-08-02T10:04:08ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011800209210.1051/epjconf/201818002092epjconf_efm2018_02092Processing of Cells’ Trajectories Data for Blood Flow Simulation Model*Slavík MartinKovalčíková KristínaBachratý HynekBachratá KatarínaSmiešková MonikaSimulations of the red blood cells (RBCs) flow as a movement of elastic objects in a fluid, are developed to optimize microfluidic devices used for a blood sample analysis for diagnostic purposes in the medicine. Tracking cell behaviour during simulation helps to improve the model and adjust its parameters. For the optimization of the microfluidic devices, it is also necessary to analyse cell trajectories as well as likelihood and frequency of their occurrence in a particular device area, especially in the parts, where they can affect circulating tumour cells capture. In this article, we propose and verify several ways of processing and analysing the typology and trajectory stability in simulations with single or with a large number of red blood cells (RBCs) in devices with different topologies containing cylindrical obstacles.https://www.epj-conferences.org/articles/epjconf/pdf/2018/15/epjconf_efm2018_02092.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Slavík Martin Kovalčíková Kristína Bachratý Hynek Bachratá Katarína Smiešková Monika |
spellingShingle |
Slavík Martin Kovalčíková Kristína Bachratý Hynek Bachratá Katarína Smiešková Monika Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* EPJ Web of Conferences |
author_facet |
Slavík Martin Kovalčíková Kristína Bachratý Hynek Bachratá Katarína Smiešková Monika |
author_sort |
Slavík Martin |
title |
Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* |
title_short |
Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* |
title_full |
Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* |
title_fullStr |
Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* |
title_full_unstemmed |
Processing of Cells’ Trajectories Data for Blood Flow Simulation Model* |
title_sort |
processing of cells’ trajectories data for blood flow simulation model* |
publisher |
EDP Sciences |
series |
EPJ Web of Conferences |
issn |
2100-014X |
publishDate |
2018-01-01 |
description |
Simulations of the red blood cells (RBCs) flow as a movement of elastic objects in a fluid, are developed to optimize microfluidic devices used for a blood sample analysis for diagnostic purposes in the medicine. Tracking cell behaviour during simulation helps to improve the model and adjust its parameters. For the optimization of the microfluidic devices, it is also necessary to analyse cell trajectories as well as likelihood and frequency of their occurrence in a particular device area, especially in the parts, where they can affect circulating tumour cells capture. In this article, we propose and verify several ways of processing and analysing the typology and trajectory stability in simulations with single or with a large number of red blood cells (RBCs) in devices with different topologies containing cylindrical obstacles. |
url |
https://www.epj-conferences.org/articles/epjconf/pdf/2018/15/epjconf_efm2018_02092.pdf |
work_keys_str_mv |
AT slavikmartin processingofcellstrajectoriesdataforbloodflowsimulationmodel AT kovalcikovakristina processingofcellstrajectoriesdataforbloodflowsimulationmodel AT bachratyhynek processingofcellstrajectoriesdataforbloodflowsimulationmodel AT bachratakatarina processingofcellstrajectoriesdataforbloodflowsimulationmodel AT smieskovamonika processingofcellstrajectoriesdataforbloodflowsimulationmodel |
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