Evidence map›Paper›PMID 41612104›Full record

ArticleAnnals of biomedical engineering2026

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

Hannah P Palahnuk, Nicolas A Tobin, Keefe B Manning

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Hannah P PalahnukDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA.
Nicolas A TobinApplied Research Laboratory, The Pennsylvania State University, University Park, State College, PA, USA.
Keefe B ManningDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, State College, PA, USA. kbm10@psu.edu.ORCID http://orcid.org/0000-0001-9029-5217

Funding

Foundation for the National Institutes of Health U54 TR002014-05A1
6 · The paper itself

Abstract

purposeHemolysis remains a concern in mechanical circulatory support devices (MCSDs). Capturing flow-induced red blood cell (RBC) deformation is important to improve these technologies. Deformation models that are feasible for macroscale MCSD flows have not been calibrated with human RBC deformation data across multiple conditions. The purpose of this study is to modify and test a droplet deformation model that is applicable for MCSD flows for predicting human RBC deformation in silico.

methodsIn vitro human RBC deformation is studied in microfluidic flows in two suspension viscosities (2.05 and 4.17 cP) at MCSD relevant strain rates (5,000 - 200,000 s

resultsThe calibrated model reproduces the unique RBC deformation behaviors observed in shear and extensional flows across a range of conditions. In silico shear deformation index data have mean absolute error (MAE) ≤ 0.15 compared to in vitro results for both viscosity conditions from 5,000 to 200,000 s

conclusionThe model adaptations successfully produce accurate RBC deformation results at MCSD relevant strain rates for two flow types and two suspension viscosities. The strengths of the model are in relatively high velocity gradient magnitudes and/or suspension viscosities where RBCs emulate liquid droplets.

Indexed as

Erythrocyte DeformabilityErythrocytesModels, BiologicalModels, CardiovascularHumansStress, MechanicalDeformationDevicesErythrocyteHemolysisMicrofluidicsRed blood cell

Identifiers

PMID41612104
PMCPMC13091855

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