Optimizing micropattern geometries for cell shape and migration with genetic algorithms

摘要: Adhesive micropatterns have become a standard tool to control cell shape and function in culture. However, the variety of possible patterns is infinitely large experiments often restrict themselves established designs. Here we suggest systematic method establish novel for desired functions using genetic algorithms. The evolutionary fitness certain pattern computed cellular Potts model that describes behavior on micropattern. We first predict optimal shape. then optimize ratchet geometries bias migration direction find asymmetric triangles are superior over symmetric ones used experiments. Finally design which reverse cells when density increases due division.