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Updated: May 14, 2026

In Vitro Model of Physiological and Pathological Blood Flow with Application to Investigations of Vascular Cell Remodeling
Published on: November 3, 2015
Red blood cell flow in the cardiovascular system: a fluid dynamics perspective
Thakir D AlMomani1, Sarah C Vigmostad, Venkat Keshav Chivukula
1Department of Biomedical Engineering, The Hashemite University, Zarqa, Jordan. thakir2000@hu.edu.jo
Understanding red blood cell (RBC) dynamics is crucial for cardiovascular health and blood property research. Current experimental and computational methods still face challenges in fully capturing RBC behavior under physiological conditions.
Area of Science:
- Biomedical Engineering
- Cardiovascular Physiology
- Computational Fluid Dynamics
Background:
- Red blood cell (RBC) dynamics are integral to the cardiovascular system.
- RBC behavior significantly impacts cardiovascular diseases, assistive device design, and blood rheology.
- Decades of research have focused on understanding RBCs under various flow conditions.
Purpose of the Study:
- To provide a comprehensive overview of research on red blood cell dynamics over the past few decades.
- To highlight the progress and persistent challenges in studying RBC behavior.
- To identify key areas for future research in RBC mechanics.
Main Methods:
- Review of experimental studies on RBC dynamics.
- Analysis of numerical and computational modeling approaches for RBCs.
- Examination of RBC behavior under different flow conditions.
Main Results:
- Significant advancements have been made in both experimental and numerical investigations of RBCs.
- Experimental limitations include the scale of RBCs for physiological condition measurements.
- Computational models often simplify RBC mechanics, focusing on single cells in 2D domains.
Conclusions:
- A complete understanding of RBC mechanics and dynamics remains an ongoing challenge.
- Further development of advanced computational models is needed for 3D physiological flow regimes.
- Accurate modeling of RBC deformation and movement is essential for clinical applications.
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