Particle-Based Simulation of RBC, WBC, and Platelet Dynamics in Microchannel Blood Flow
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Abstract
Understanding blood cell transport and spatial organization in confined microfluidic environments is essential for developing biomedical diagnostic systems and lab-on-a-chip technologies. This study developed a computational model to investigate the spatiotemporal dynamics of red blood cells (RBCs), white blood cells (WBCs), and platelets within a microfluidic channel. The model simulated cell motion and interactions under confined flow conditions. Cell trajectories and spatial distributions were analyzed over time, with particular emphasis on changes in the maximum vertical positions of RBCs and WBCs. The simulations revealed heterogeneous transport behavior, with distinct temporal patterns in the vertical distributions of RBCs and WBCs and localized platelet motion within the flow domain. Cell–cell interactions and channel confinement influenced spatial migration, while the evolution of maximum vertical position provided insight into transient cell redistribution and spatial organization. These findings characterize differences in the transport dynamics of blood components within microchannels. The computational framework provides a tool for investigating microscale blood flow and may support the design and optimization of microfluidic devices for blood analysis, cell sorting, and biomedical diagnostics.
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