An adaptive statistical test to detect non Brownian diffusion from particle trajectories
Abstract
Assessing the dynamics of particles inside live cell is of
paramount interest to understand cell mechanisms. In this paper,
we assume that the motions of particles follow a certain
class of random process: the diffusion processes. Our contribution
is to propose a statistical method able to classify the
motion of the observed trajectories into three groups: confined,
directed and free diffusion (namely Brownian motion).
This method is an alternative to Mean Square Displacement
(MSD) analysis. We assess our procedure on both simulations
and real cases.
Origin : Files produced by the author(s)
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