Work

Bayesian MINFLUX Localization Microscopy

Year: 2026
Type: article
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.
Language: English
Subfield: Biophysics
Open Access status: hybrid
Estimated APC paid: $4,500
OpenAlex ID: W7122810251
FWCI: 2.8
Cites: 13
Cited by: 1
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