Processing of Cells’ Trajectories Data for Blood Flow Simulation Model*

Processing of Cells’ Trajectories Data for Blood Flow Simulation Model*

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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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Main Authors: Slavík Martin, Kovalčíková Kristína, Bachratý Hynek, Bachratá Katarína, Smiešková Monika
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:EPJ Web of Conferences
Online Access:https://doi.org/10.1051/epjconf/201817002092
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spelling doaj-b64c6784fe854b9b85fe1f739b9a6c502021-08-02T02:02:26ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011800209210.1051/epjconf/201817002092epjconf_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://doi.org/10.1051/epjconf/201817002092
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://doi.org/10.1051/epjconf/201817002092
work_keys_str_mv AT slavikmartin processingofcellstrajectoriesdataforbloodflowsimulationmodel
AT kovalcikovakristina processingofcellstrajectoriesdataforbloodflowsimulationmodel
AT bachratyhynek processingofcellstrajectoriesdataforbloodflowsimulationmodel
AT bachratakatarina processingofcellstrajectoriesdataforbloodflowsimulationmodel
AT smieskovamonika processingofcellstrajectoriesdataforbloodflowsimulationmodel
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