Abstract

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.

Highlights

  • 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

  • In [7] the trajectories of single CTC were investigated in a Microfluidic devices with periodic obstacle arrays inside channel with regular periodic obstacle array, with them are often used for diagnosis or even for a treatment different cell densities

  • Only CTC had a of various diseases related to the blood. Such devices are spherical shape and other cells were represented by designed for capturing, detecting and sorting rare blood RBCs

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Summary

Stability of isolated RBC trajectories

To obtain basic information about the properties of RBC trajectories in Type A and Type C channels, we first performed 15 calibration simulation experiments with a single RBC in the channel. The interactions among the cells were modelled by membrane collision interaction with the In addition to these initial conditions, the trajectories of each RBC were only influenced by the velocity field (stream lines) of the blood plasma flow and collisions with the canal surface. All the simulations we performed showed that the "flat" orientation is highly problematic and corresponds primarily to random and chaotic (changing but not monotone) changes in the y-coordinate sequence. It is valid (and can be statistically substantiated) that this orientation is quite rare in simulations with a greater number of RBCs, as RBC collisions (both with cells and with the surface of the device) lead to the "increase" of RBC orientation that are much more stable. To examine the sensitive trajectory properties, it is possible to exclude RBC in some "insensitive" positions and orientations

Stability analysis of trajectories for large numbers of RBC
Findings
RBC’s Trajectories Data Processing for Various Geometries
Full Text
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