Bayesian MINFLUX Localization Microscopy

MINFLUX microscopy allows for localization of fluorophores with nanometer precision by using targeted scanning with an illumination profile with a minimum. However, current scanning patterns and the overall procedure are based on heuristics and may therefore be suboptimal. Here, we present a rigorous Bayesian approach that offers maximal resolution from either a minimal number of detected photons or a minimal number of exposures. We estimate using simulated localization runs that this approach should reduce the number of photons required for 1 nm resolution by a factor of about four.