UIC-2013-165 – NOVEL METHOD FOR SIMULATING CELL PATTERN FORMATION

Understanding the geometric, topologic, and mechanical properties of cells and their interactions is critical for studying tissue pattern formation and organ development. Although a number of computational tools exist, they do not account for detailed cellular shapes as well as dynamic changes in cell geometry and topology accurately. Dr. Jie Liang and his lab have developed a new algorithm and software tool for simulating birth, death, growth, rearrangement, fusion, and pattern formation of cells with realistic shape The software utilizes a dynamic finite element cell model (dFEMC), which solves the problem of modeling detailed cell shape and exact topological changes of cell population. It can model cell growth, shrinkage, cell death, cell fusion, cell rearrangement accurately and realistically. Jonathan Gortat jgortat@otm.uic.edu (312) 413-1643

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