Computer Simulation of Shape Evolutions of Plant Cells Based on Physical and Chemical Interactions

Conventional computer modeling and visualization of plant tissues and cells are aimed at establishing corresponding static simulation models. In exploring the morphological evolution of cells in a microenvironment, interdisciplinary approaches need to be adopted to solve the underlying issues of dynamic modeling of cellular evolution. This study employs the reaction-diffusion equation to simulate the chemical signals driving cell growth. The Lattice Boltzmann Method (LBM) is used to obtain the expression for the incompressible fluid surrounding the cells, and the Immersed Boundary Method (IBM) is employed to simulate the cytoskeleton-flow field interaction. The visualized simulation of the interaction between the cell morphology and flow field is eventually realized using C++ and OpenGL 2.2. Experimental results suggest that the morphological evolution of plant cells can be realized by adjusting the fluid control parameters of the microenvironment, simultaneously proving the applicability of the proposed method as a computing mode for research in plant cell morphologies.