• DocumentCode
    636669
  • Title

    Dynamic mechanical finite element model of biological cells for studying cellular pattern formation

  • Author

    Jieling Zhao ; Naveed, Hammad ; Kachalo, Sema ; Youfang Cao ; Wei Tian ; Jie Liang

  • Author_Institution
    Bioinf. Program, Univ. of Illinois at Chicago, Chicago, IL, USA
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    4517
  • Lastpage
    4520
  • Abstract
    Understanding the geometric, topologic, and mechanical properties of cells and their interactions is critical for studying tissue pattern formation and organ development. Computational model and tools for simulating cell pattern formation have broad implications in studying embryogenesis, blood-vessel development, tissue regeneration, and tumor growth. Although a number of cell modeling methods exist, they do not simultaneously account for detailed cellular shapes as well as dynamic changes in cell geometry and topology. Here we describe a dynamic finite element cell model (dFEMC) for studying populations of cells and tissue development. By incorporating details of cell shape, cell growth and shrinkage, cell birth and death, cell division and fusion, our method can model realistically a variety problems of cell pattern formation. We give two examples of applying our method to the study of cell fusion and cell apoptosis. The dFEMC model developed here provides a general computational framework for studying dynamics pattern formation of tissue.
  • Keywords
    biological tissues; biomechanics; cellular biophysics; finite element analysis; pattern formation; physiological models; shrinkage; blood-vessel development; cell apoptosis; cell birth; cell death; cell division; cell fusion; cell geometric property; cell growth; cell mechanical property; cell modeling method; cell population; cell shrinkage; cell topologic property; cellular pattern formation; cellular shape; computational model; computational tool; dynamic mechanical finite element model; embryogenesis; organ development; tissue pattern formation; tissue regeneration; tumor growth; Biological system modeling; Cancer; Computational modeling; Pattern formation; Shape; Tumors; Wounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610551
  • Filename
    6610551