Section: New Software and Platforms

CPAnalysis

Change point detection algorithm for detecting switches of diffusion along 2D-3D single particle trajectories

Keywords: Statistical modeling - Statistical physics - Fluorescence microscopy - Motion analysis

Functional Description: The change point detection algorithm is designed for detecting switches of diffusion along a given 2D-3D particle trajectory. We consider that the particle can switch between three main motion modes: 1/ Superdiffusion which occurs when the particle is transported via molecular motors along the cytoskeleton, 2/ Free diffusion (or Brownian motion) which arises when the particle evolves freely inside the cytosol, 3/ Subdiffusion observed when the particle is confined in a domain or evolves in a crowded area. The algorithm is a sequential nonparametric procedure based on a nonparametric three-decision test computed on local sliding windows along the trajectory.

• Participants: Antoine Salomon, Vincent Briane, Myriam Vimond, Jean Salamero and Charles Kervrann

• Partners: ENSAI - UMR 144 CNRS - Institut Curie

• Contact: Charles Kervrann

• Publication: A sequential algorithm to detect diffusion switching along intracellular particle trajectories

• URL: https://team.inria.fr/serpico/software/cpanalysis/