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Related Experiment Video

Updated: Jan 31, 2026

Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry
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Measuring Deformability and Red Cell Heterogeneity in Blood by Ektacytometry

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Modeling Red Blood Cell Deformation at Supraphysiological Strain Rates Using a Droplet Framework.

Hannah P Palahnuk1,2, Nicolas A Tobin2, Keefe B Manning3,4

  • 1Department of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA.

Annals of Biomedical Engineering
|January 29, 2026
PubMed
Summary

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This summary is machine-generated.

A new in silico model accurately predicts human red blood cell (RBC) deformation in mechanical circulatory support devices (MCSDs). This model improves understanding of RBC behavior under flow conditions relevant to MCSDs.

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Fluid Dynamics

Background:

  • Hemolysis is a significant issue in mechanical circulatory support devices (MCSDs).
  • Accurate modeling of red blood cell (RBC) deformation is crucial for improving MCSD technology.
  • Existing deformation models lack calibration with human RBC data across various conditions.

Purpose of the Study:

  • To modify and validate a droplet deformation model for predicting human RBC deformation in silico.
  • To adapt the model for macroscale MCSD flow conditions.
  • To calibrate the model using in vitro human RBC deformation data.

Main Methods:

  • Studied in vitro human RBC deformation in microfluidic flows.
  • Utilized two suspension viscosities (2.05 and 4.17 cP).
Keywords:
DeformationDevicesErythrocyteHemolysisMicrofluidicsRed blood cell

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  • Tested at MCSD-relevant shear rates (5,000–200,000 s⁻¹) and extensional rates (330–13,160 s⁻¹).
  • Modified constitutive parameters of a droplet deformation model.

    • Main Results:

    • The calibrated model accurately reproduced RBC deformation in shear and extensional flows.
    • Mean absolute error (MAE) for in silico shear deformation was ≤0.15 across tested conditions.
    • MAE for peak in silico extensional deformation was ≤0.11 for most conditions, with higher error at lower rates.

    Conclusions:

    • Model adaptations successfully predicted RBC deformation at MCSD-relevant strain rates.
    • The model performs well where RBCs behave like liquid droplets.
    • This validated model can aid in the design and optimization of MCSDs to minimize hemolysis.