High-precision estimation of emitter positions using Bayesian grouping of localizations.

Autor: Fazel M; Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA., Wester MJ; Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA.; Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM, USA., Schodt DJ; Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA., Cruz SR; Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA., Strauss S; Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.; Max Planck Institute of Biochemistry, Martinsried, Germany., Schueder F; Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.; Max Planck Institute of Biochemistry, Martinsried, Germany., Schlichthaerle T; Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.; Max Planck Institute of Biochemistry, Martinsried, Germany., Gillette JM; Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA.; Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA., Lidke DS; Department of Pathology, University of New Mexico Health Science Center, Albuquerque, NM, USA.; Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA., Rieger B; Department of Imaging Physics, Delft University of Technology, Delft, the Netherlands., Jungmann R; Department of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.; Max Planck Institute of Biochemistry, Martinsried, Germany., Lidke KA; Department of Physics and Astronomy, University of New Mexico, Albuquerque, NM, USA. klidke@unm.edu.; Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM, USA. klidke@unm.edu.
Jazyk: angličtina
Zdroj: Nature communications [Nat Commun] 2022 Nov 22; Vol. 13 (1), pp. 7152. Date of Electronic Publication: 2022 Nov 22.
DOI: 10.1038/s41467-022-34894-2
Abstrakt: Single-molecule localization microscopy super-resolution methods rely on stochastic blinking/binding events, which often occur multiple times from each emitter over the course of data acquisition. Typically, the blinking/binding events from each emitter are treated as independent events, without an attempt to assign them to a particular emitter. Here, we describe a Bayesian method of inferring the positions of the tagged molecules by exploring the possible grouping and combination of localizations from multiple blinking/binding events. The results are position estimates of the tagged molecules that have improved localization precision and facilitate nanoscale structural insights. The Bayesian framework uses the localization precisions to learn the statistical distribution of the number of blinking/binding events per emitter and infer the number and position of emitters. We demonstrate the method on a range of synthetic data with various emitter densities, DNA origami constructs and biological structures using DNA-PAINT and dSTORM data. We show that under some experimental conditions it is possible to achieve sub-nanometer precision.
(© 2022. The Author(s).)
Databáze: MEDLINE
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