An adaptive statistical test to detect non Brownian diffusion from particle trajectories
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.