Fig. 1. Bayesian grouping of localizations concept and data flow.

Circles are centered on given localizations with radii equal to two times the corresponding localization precisions. Colors represent localization allocations to emitters. Squares show emitters. a The data flow. The RJMCMC step is illustrated in further detail in panels b–d. b From left to right, addition of a new emitter (blue) in a random location is proposed via a Birth jump. From right to left, an existing emitter is picked randomly and is eliminated from the model via a Death jump. c Localizations are redistributed across the emitters via an Allocation jump while emitter positions are fixed. d Given a fixed set of allocations, all emitter positions are updated in a Move jump.