Application of Hyperelastic Models in Mechanical Properties prediction of Mouse Oocyte and Embryo Cells at Large Deformations

Document Type : Article

Authors

1 School of Mechanical Engineering, Sharif University of Technology, Tehran, 11155-9161, Iran

2 Center of Excellence in Design, Robotics and Automation (CEDRA), School Of Mechanical Engineering, Sharif University of Technology, Tehran, 11155-9161, Iran

3 Institute for Biotechnology & Environment (IBE), Sharif University of Technology, Tehran, 11155-9161, Iran

4 School of Management and Economics, Sharif University of Technology, Tehran, 11155-9161, Iran

Abstract

Biological cell studies have many applications in biology, cell manipulation and diagnosis of diseases such as cancer and malaria. In this study, inverse finite element method (IFEM) combined with Levenberg-Marquardt optimization algorithm has been used to extract and characterize material properties of mouse oocyte and embryo cells at large deformations. Then, the simulation results have been validated using data from experimental works. In this study, it is assumed cell material is hyperelastic, isotropic, homogenous and axisymmetric. For inverse analysis, FEM model of cell injection experiment which implemented in Abaqus software has been coupled with Levenberg-Marquardt optimization algorithm written in Matlab; based on this coupling the optimum hyperelastic coefficients which give the best match between experimental and simulated forces are extracted. Results show that among different hyperelastic material models, Ogden material is well suitable for characterization of mouse oocyte cell and Mooney-Rivlin or polynomial are suitable for characterization of mouse embryo cell. Moreover the evaluated Poisson ratio of the cell is obtained to be equal to 0.5, which indicates the structural material of mouse oocyte and embryo, are compressible.

Keywords

Main Subjects


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Volume 25, Issue 2
Transactions on Mechanical Engineering (B)
March and April 2018
Pages 700-710
  • Receive Date: 25 January 2016
  • Revise Date: 18 October 2016
  • Accept Date: 17 April 2017