Fig. 1: Rationale for the challenge organization.
From: Quantitative evaluation of methods to analyze motion changes in single-particle experiments

a The interactions of biomolecules in complex environments, such as dimerization, ligand binding, or trapping at the cell membrane, regulate physiological processes in living systems. These interactions produce changes in molecular motion that can be used as a proxy to measure interaction parameters. b, c Time-lapse single-molecule imaging allows us to visualize these processes with high spatiotemporal resolution (b) and, in combination with single-particle tracking methods, provide trajectories of individual molecules (c). d, e Analytical methods can be applied to imaging data, either raw (b) or processed in the form of trajectories (c), to infer interaction kinetics and quantify their dynamic properties at the ensemble (e.g., probability distributions, d) or single-trajectory level (e.g., changepoints, e).