  The analysis of live-cell single-molecule imaging experiments can reveal
valuable information about the heterogeneity of transport processes and
interactions between cell components. These characteristics are seen as motion
changes in the particle trajectories. Despite the existence of multiple
approaches to carry out this type of analysis, no objective assessment of these
methods has been performed so far. Here, we have designed a competition to
characterize and rank the performance of these methods when analyzing the
dynamic behavior of single molecules. To run this competition, we have
implemented a software library to simulate realistic data corresponding to
widespread diffusion and interaction models, both in the form of trajectories
and videos obtained in typical experimental conditions. The competition will
constitute the first assessment of these methods, provide insights into the
current limits of the field, foster the development of new approaches, and
guide researchers to identify optimal tools for analyzing their experiments.
