  The life of a cell is governed by highly dynamical microscopic processes. Two
notable examples are the diffusion of membrane receptors and the kinetics of
transcription factors governing the rates of gene expression. Different
fluorescence imaging techniques have emerged to study molecular dynamics. Among
them, fluorescence correlation spectroscopy (FCS) and single-particle tracking
(SPT) have proven to be instrumental to our understanding of cell dynamics and
function. The analysis of SPT and FCS is an ongoing effort, and despite decades
of work, much progress remains to be done. In this paper, we give a quick
overview of the existing techniques used to analyze anomalous diffusion in
cells and propose a collaborative challenge to foster the development of
state-of-the-art analysis algorithms. We propose to provide labelled (training)
and unlabelled (evaluation) simulated data to competitors all over the world in
an open and fair challenge. The goal is to offer unified data benchmarks based
on biologically-relevant metrics in order to compare the diffusion analysis
software available for the community.
