TY - JOUR
T1 - Characterization of stress–strain behaviour of red blood cells (RBCs), part II
T2 - response of malaria-infected RBCs
AU - Song, Hwayeon
AU - Hashash, Youssef M.A.
N1 - Funding Information:
This work was supported in part by the Research Board at the University of Illinois at Urbana-Champaign. This support is gratefully acknowledged.
Publisher Copyright:
© 2014, © 2014 Taylor & Francis.
PY - 2015/4/3
Y1 - 2015/4/3
N2 - Malaria is an infectious disease induced by a parasite named Plasmodium and annually affects two to three million people. The most serious form of malaria for humans is caused by Plasmodium falciparum, and the progression of P. falciparum is closely linked to the deformation characteristics of red blood cells (RBCs). Conventional isotropic material models have been used to represent the RBC behaviour. In this paper, an inverse analysis approach, Self-Learning Simulation (SelfSim), is applied to extract the RBC material behaviour from complementary boundary force and displacement measurements of healthy, exposed, ring, trophozoit and schizont stages of RBC obtained by optical tweezers method. SelfSim reveals that the nonlinear deformation characteristics of healthy RBC are lost with P. falciparum parasite development. The deformability and anisotropic stress–strain behaviour inferred from healthy RBC decrease for mature stages of malaria-infected RBCs. SelfSim provides new insights into the stress–strain behaviour maps of malaria progression for disease diagnosis.
AB - Malaria is an infectious disease induced by a parasite named Plasmodium and annually affects two to three million people. The most serious form of malaria for humans is caused by Plasmodium falciparum, and the progression of P. falciparum is closely linked to the deformation characteristics of red blood cells (RBCs). Conventional isotropic material models have been used to represent the RBC behaviour. In this paper, an inverse analysis approach, Self-Learning Simulation (SelfSim), is applied to extract the RBC material behaviour from complementary boundary force and displacement measurements of healthy, exposed, ring, trophozoit and schizont stages of RBC obtained by optical tweezers method. SelfSim reveals that the nonlinear deformation characteristics of healthy RBC are lost with P. falciparum parasite development. The deformability and anisotropic stress–strain behaviour inferred from healthy RBC decrease for mature stages of malaria-infected RBCs. SelfSim provides new insights into the stress–strain behaviour maps of malaria progression for disease diagnosis.
KW - artificial neural network material model
KW - deformation characteristics
KW - inverse analysis
KW - malaria
KW - red blood cell
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U2 - 10.1080/17415977.2014.922072
DO - 10.1080/17415977.2014.922072
M3 - Article
AN - SCOPUS:84917685736
SN - 1741-5977
VL - 23
SP - 413
EP - 424
JO - Inverse Problems in Engineering
JF - Inverse Problems in Engineering
IS - 3
ER -