Biological processes are complex systems. Cell surface dynamics is a
good example of these. Modeling these systems using the conventional
continuum approach poses numerical challenges and do not often reflect
the actual behavior of the underlying system. Stochastic approach,
especially Cellular Automata based Monte-Carlo simulation has recently
been used to understand these systems. In particular, the ease of the
definition of rules for such a stochastic process that govern the
biology makes this approach an excellent platform to model these
systems. A demonstration of this approach using graphically visualized
realistic simulation of the cell surface dynamics will be presented.
Confined diffusion and other various aspects of the intra- and
extra-cellular dynamics of the B-cell membrane will be emphasized.