{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Ma H"],"funding":["NCI NIH HHS","National Institutes of Health"],"pagination":["5798-5801"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8640370"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["46(23)"],"pubmed_abstract":["We present a non-iterative and model-free algorithm for three-dimensional (3D) single emitter localization. Our algorithm decodes the axial position and the emitter width via the ratio of the first and second Fourier harmonic. The retrieved width information is further used for dynamic extraction of the proper region of interest to robustly eliminate the outer noisy background, thus improving the localization precision over existing non-iterative algorithms. Using simulated and experimental datasets, we demonstrate that our algorithm achieves localization precision approaching the state-of-the-art iterative fitting-based methods in all three dimensions at two orders of magnitude faster speed, applicable in various 3D single-molecule localization techniques."],"journal":["Optics letters"],"pubmed_title":["Robust emitter localization with enhanced harmonic analysis."],"pmcid":["PMC8640370"],"funding_grant_id":["R01 CA254112","R33 CA225494","R01CA232593","R01 CA232593","R01CA254112","R33CA225494"],"pubmed_authors":["Liu Y","Ma H"],"additional_accession":[]},"is_claimable":false,"name":"Robust emitter localization with enhanced harmonic analysis.","description":"We present a non-iterative and model-free algorithm for three-dimensional (3D) single emitter localization. Our algorithm decodes the axial position and the emitter width via the ratio of the first and second Fourier harmonic. The retrieved width information is further used for dynamic extraction of the proper region of interest to robustly eliminate the outer noisy background, thus improving the localization precision over existing non-iterative algorithms. Using simulated and experimental datasets, we demonstrate that our algorithm achieves localization precision approaching the state-of-the-art iterative fitting-based methods in all three dimensions at two orders of magnitude faster speed, applicable in various 3D single-molecule localization techniques.","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Dec","modification":"2025-04-05T10:17:22.847Z","creation":"2025-04-05T10:17:22.847Z"},"accession":"S-EPMC8640370","cross_references":{"pubmed":["34851893"],"doi":["10.1364/ol.437409","10.1364/OL.437409"]}}