Correlation between fibrin network structure and mechanical properties: An experimental and computational analysis

Eunjung Kim, Oleg V. Kim, Kellie R. MacHlus, Xiaomin Liu, Timur Kupaev, Joshua Lioi, Alisa S. Wolberg, Danny Z. Chen, Elliot Rosen, Zhiliang Xu, Mark Alber

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Fibrin networks, with and without cells, formed under wild type and hemophilic conditions, have been synthesized, studied and compared. The three dimensional structure of each fibrin network was reconstructed from two-dimensional z-stacks of confocal microscopy sections using novel image analysis algorithms. These images were used to establish microstructure-based models for studying the relationship between the structural features and the mechanical properties of the fibrin networks. The mechanical properties were assessed by analyzing the networks' responses to uniaxial tensile and shear stresses, simulating the impact of blood flow on the fibrin network. The elasticity of the fiber network predicted by the model agrees well with prior experimental data. The change in the fibrin network alignment under applied strain and the elastic modulus values were calculated and compared with prior experimental data obtained in Ryan et al., Biophys. J., 2009, 77, 2813. The model correctly predicts the network alignment under load and the result is in good agreement with the results obtained for small networks in Brown et al., Science, 2009, 325, 741. It was shown that a nonlinear worm-like chain model correctly predicted both the elastic properties of the networks and the alignment of the fibers as the clot sample is stretched.

Original languageEnglish
Pages (from-to)4983-4992
Number of pages10
JournalSoft Matter
Volume7
Issue number10
DOIs
StatePublished - May 21 2011

Fingerprint

fibrin
Fibrin
mechanical properties
Mechanical properties
Fibers
Confocal microscopy
alignment
Tensile stress
Image analysis
Shear stress
Elasticity
Blood
elastic properties
Elastic moduli
Microstructure
worms
fibers
blood flow
tensile stress
image analysis

ASJC Scopus subject areas

  • Chemistry(all)
  • Condensed Matter Physics

Cite this

Kim, E., Kim, O. V., MacHlus, K. R., Liu, X., Kupaev, T., Lioi, J., ... Alber, M. (2011). Correlation between fibrin network structure and mechanical properties: An experimental and computational analysis. Soft Matter, 7(10), 4983-4992. https://doi.org/10.1039/c0sm01528h

Correlation between fibrin network structure and mechanical properties : An experimental and computational analysis. / Kim, Eunjung; Kim, Oleg V.; MacHlus, Kellie R.; Liu, Xiaomin; Kupaev, Timur; Lioi, Joshua; Wolberg, Alisa S.; Chen, Danny Z.; Rosen, Elliot; Xu, Zhiliang; Alber, Mark.

In: Soft Matter, Vol. 7, No. 10, 21.05.2011, p. 4983-4992.

Research output: Contribution to journalArticle

Kim, E, Kim, OV, MacHlus, KR, Liu, X, Kupaev, T, Lioi, J, Wolberg, AS, Chen, DZ, Rosen, E, Xu, Z & Alber, M 2011, 'Correlation between fibrin network structure and mechanical properties: An experimental and computational analysis', Soft Matter, vol. 7, no. 10, pp. 4983-4992. https://doi.org/10.1039/c0sm01528h
Kim, Eunjung ; Kim, Oleg V. ; MacHlus, Kellie R. ; Liu, Xiaomin ; Kupaev, Timur ; Lioi, Joshua ; Wolberg, Alisa S. ; Chen, Danny Z. ; Rosen, Elliot ; Xu, Zhiliang ; Alber, Mark. / Correlation between fibrin network structure and mechanical properties : An experimental and computational analysis. In: Soft Matter. 2011 ; Vol. 7, No. 10. pp. 4983-4992.
@article{db5847bd35884050aa104680f0e43bd0,
title = "Correlation between fibrin network structure and mechanical properties: An experimental and computational analysis",
abstract = "Fibrin networks, with and without cells, formed under wild type and hemophilic conditions, have been synthesized, studied and compared. The three dimensional structure of each fibrin network was reconstructed from two-dimensional z-stacks of confocal microscopy sections using novel image analysis algorithms. These images were used to establish microstructure-based models for studying the relationship between the structural features and the mechanical properties of the fibrin networks. The mechanical properties were assessed by analyzing the networks' responses to uniaxial tensile and shear stresses, simulating the impact of blood flow on the fibrin network. The elasticity of the fiber network predicted by the model agrees well with prior experimental data. The change in the fibrin network alignment under applied strain and the elastic modulus values were calculated and compared with prior experimental data obtained in Ryan et al., Biophys. J., 2009, 77, 2813. The model correctly predicts the network alignment under load and the result is in good agreement with the results obtained for small networks in Brown et al., Science, 2009, 325, 741. It was shown that a nonlinear worm-like chain model correctly predicted both the elastic properties of the networks and the alignment of the fibers as the clot sample is stretched.",
author = "Eunjung Kim and Kim, {Oleg V.} and MacHlus, {Kellie R.} and Xiaomin Liu and Timur Kupaev and Joshua Lioi and Wolberg, {Alisa S.} and Chen, {Danny Z.} and Elliot Rosen and Zhiliang Xu and Mark Alber",
year = "2011",
month = "5",
day = "21",
doi = "10.1039/c0sm01528h",
language = "English",
volume = "7",
pages = "4983--4992",
journal = "Soft Matter",
issn = "1744-683X",
publisher = "Royal Society of Chemistry",
number = "10",

}

TY - JOUR

T1 - Correlation between fibrin network structure and mechanical properties

T2 - An experimental and computational analysis

AU - Kim, Eunjung

AU - Kim, Oleg V.

AU - MacHlus, Kellie R.

AU - Liu, Xiaomin

AU - Kupaev, Timur

AU - Lioi, Joshua

AU - Wolberg, Alisa S.

AU - Chen, Danny Z.

AU - Rosen, Elliot

AU - Xu, Zhiliang

AU - Alber, Mark

PY - 2011/5/21

Y1 - 2011/5/21

N2 - Fibrin networks, with and without cells, formed under wild type and hemophilic conditions, have been synthesized, studied and compared. The three dimensional structure of each fibrin network was reconstructed from two-dimensional z-stacks of confocal microscopy sections using novel image analysis algorithms. These images were used to establish microstructure-based models for studying the relationship between the structural features and the mechanical properties of the fibrin networks. The mechanical properties were assessed by analyzing the networks' responses to uniaxial tensile and shear stresses, simulating the impact of blood flow on the fibrin network. The elasticity of the fiber network predicted by the model agrees well with prior experimental data. The change in the fibrin network alignment under applied strain and the elastic modulus values were calculated and compared with prior experimental data obtained in Ryan et al., Biophys. J., 2009, 77, 2813. The model correctly predicts the network alignment under load and the result is in good agreement with the results obtained for small networks in Brown et al., Science, 2009, 325, 741. It was shown that a nonlinear worm-like chain model correctly predicted both the elastic properties of the networks and the alignment of the fibers as the clot sample is stretched.

AB - Fibrin networks, with and without cells, formed under wild type and hemophilic conditions, have been synthesized, studied and compared. The three dimensional structure of each fibrin network was reconstructed from two-dimensional z-stacks of confocal microscopy sections using novel image analysis algorithms. These images were used to establish microstructure-based models for studying the relationship between the structural features and the mechanical properties of the fibrin networks. The mechanical properties were assessed by analyzing the networks' responses to uniaxial tensile and shear stresses, simulating the impact of blood flow on the fibrin network. The elasticity of the fiber network predicted by the model agrees well with prior experimental data. The change in the fibrin network alignment under applied strain and the elastic modulus values were calculated and compared with prior experimental data obtained in Ryan et al., Biophys. J., 2009, 77, 2813. The model correctly predicts the network alignment under load and the result is in good agreement with the results obtained for small networks in Brown et al., Science, 2009, 325, 741. It was shown that a nonlinear worm-like chain model correctly predicted both the elastic properties of the networks and the alignment of the fibers as the clot sample is stretched.

UR - http://www.scopus.com/inward/record.url?scp=79955650147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79955650147&partnerID=8YFLogxK

U2 - 10.1039/c0sm01528h

DO - 10.1039/c0sm01528h

M3 - Article

AN - SCOPUS:79955650147

VL - 7

SP - 4983

EP - 4992

JO - Soft Matter

JF - Soft Matter

SN - 1744-683X

IS - 10

ER -