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Related Experiment Video

Updated: Jun 13, 2026

Study of Cell Migration in Microfabricated Channels

Study of Cell Migration in Microfabricated Channels

Published on: February 21, 2014

Red blood cell migration in microvessels.

Mohamed H Mansour¹, Neil W Bressloff, Cliff P Shearman

¹School of Engineering Sciences, University of Southampton, Southampton, UK.

|May 8, 2010

Summary

This summary is machine-generated.

This study numerically investigates red blood cell migration in microvessels. A new model shows diffusion coefficients depend on hematocrit and vessel radius, improving predictions of blood flow dynamics.

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Last Updated: Jun 13, 2026

Study of Cell Migration in Microfabricated Channels

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Published on: February 21, 2014

Real-Time In Vitro Migration Assay for Primary Murine CD8+ T Cells

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Published on: May 24, 2024

Analysis of Shear Flow-induced Migration of Murine Marginal Zone B Cells In Vitro

Analysis of Shear Flow-induced Migration of Murine Marginal Zone B Cells In Vitro

Published on: November 26, 2018

Area of Science:

* Fluid Dynamics
* Biophysics
* Computational Biology

Background:

* Red blood cell (RBC) migration and plasma interactions are crucial in microvessel blood flow.
* Existing models often assume constant diffusion coefficients, limiting accuracy in concentrated suspensions.

Purpose of the Study:

* To develop and validate a new numerical model for shear-induced RBC migration.
* To determine key phenomenological parameters (Kc, Kmu) within a diffusive flux model.
* To investigate the dependence of diffusion coefficients on hematocrit and vessel radius.

Main Methods:

* Numerical investigation using a shear-induced particle migration model.
* Employed momentum and continuity equations for suspension flow.
* Incorporated the non-Newtonian Quemada model for viscosity and a diffusive flux model for RBC migration.

Main Results:

* Developed a novel model where diffusion coefficients are functions of tube hematocrit and dimensionless vessel radius.
* Validated the model against previous experimental and numerical data.
* Achieved close agreement, demonstrating the model's predictive capability.

Conclusions:

* The developed model accurately predicts RBC migration in microvessels.
* Incorporating hematocrit and vessel radius dependence enhances the understanding of RBC behavior in concentrated suspensions.
* This work provides a more refined tool for simulating microcirculatory blood flow.