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  Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo

Fazel, M., Wester, M. J., Mazloom-Farsibaf, H., Meddens, M. B. M., Eklund, A. S., Schlichthaerle, T., et al. (2019). Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo. SCIENTIFIC REPORTS, 9: 13791. doi:10.1038/s41598-019-50232-x.

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 Creators:
Fazel, Mohamadreza1, Author
Wester, Michael J.1, Author
Mazloom-Farsibaf, Hanieh1, Author
Meddens, Marjolein B. M.1, Author
Eklund, Alexandra S.2, Author              
Schlichthaerle, Thomas2, Author              
Schueder, Florian2, Author              
Jungmann, Ralf2, Author              
Lidke, Keith A.1, Author
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1external, ou_persistent22              
2Jungmann, Ralf / Molecular Imaging and Bionanotechnology, Max Planck Institute of Biochemistry, Max Planck Society, ou_2149679              

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Free keywords: SINGLE-MOLECULE LOCALIZATION; SUPERRESOLUTION; MICROSCOPY; RESOLUTION; LIMIT; MODELScience & Technology - Other Topics;
 Abstract: In single molecule localization-based super-resolution imaging, high labeling density or the desire for greater data collection speed can lead to clusters of overlapping emitter images in the raw super-resolution image data. We describe a Bayesian inference approach to multiple-emitter fitting that uses Reversible Jump Markov Chain Monte Carlo to identify and localize the emitters in dense regions of data. This formalism can take advantage of any prior information, such as emitter intensity and density. The output is both a posterior probability distribution of emitter locations that includes uncertainty in the number of emitters and the background structure, and a set of coordinates and uncertainties from the most probable model.

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Language(s): eng - English
 Dates: 2019
 Publication Status: Published online
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
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Title: SCIENTIFIC REPORTS
Source Genre: Journal
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Publ. Info: MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND : NATURE PUBLISHING GROUP
Pages: - Volume / Issue: 9 Sequence Number: 13791 Start / End Page: - Identifier: ISSN: 2045-2322