Bayesian MINFLUX localization microscopy
Computational Physics
2026-04-17 v1 Data Analysis, Statistics and Probability
Abstract
MINFLUX microscopy allows for localization of fluorophores with nanometer precision 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 that offers maximal resolutions from either minimal detected photons or minimal 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.
Cite
@article{arxiv.2510.25654,
title = {Bayesian MINFLUX localization microscopy},
author = {Steffen Schultze and Helmut Grubmüller},
journal= {arXiv preprint arXiv:2510.25654},
year = {2026}
}
Comments
5 pages, 5 figures