Leukocyte Motility Models Assessed through Simulation and Multi-objective Optimization-Based Model Selection.

ABSTRACT: The advent of two-photon microscopy now reveals unprecedented, detailed spatio-temporal data on cellular motility and interactions in vivo. Understanding cellular motility patterns is key to gaining insight into the development and possible manipulation of the immune response. Computational simulation has become an established technique for understanding immune processes and evaluating hypotheses in the context of experimental data, and there is clear scope to integrate microscopy-informed motility dynamics. However, determining which motility model best reflects in vivo motility is non-trivial: 3D motility is an intricate process requiring several metrics to characterize. This complicates model selection and parameterization, which must be performed against several metrics simultaneously.

SUBMITTER: Read MN 

PROVIDER: S-EPMC5010290 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature