Bayesian MINFLUX Localization Microscopy
Abstract
High Resolution Image Download MS PowerPoint Slide 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.
Fields of Study & Subjects
Advanced Fluorescence Microscopy Techniques
Near-Field Optical Microscopy
Force Microscopy Techniques and Applications
Publication details
- Journal / source
- ACS Photonics
- Publisher
- American Chemical Society (ACS)
- Volume
- 13
- Issue
- 3
- Pages
- 833–837
- Publication date
- 12 January 2026
- Language
- EN