Evidence map›Paper›PMID 31551452›Full record

ArticleScientific reports2019

Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo.

Mohamadreza Fazel, Michael J Wester, Hanieh Mazloom-Farsibaf, Marjolein B M Meddens, Alexandra S Eklund, Thomas Schlichthaerle, Florian Schueder, Ralf Jungmann, Keith A Lidke

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025
    Article
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  12. Review
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  15. Article
  16. Article
  17. Article
  18. Article
  19. 25Biomedical optics express · 2020
    Article
  20. Accurate and rapid background estimation in single-molecule localization microscopy using the deep neural network BGnet.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Mohamadreza FazelDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA.
Michael J WesterDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA.ORCID http://orcid.org/0000-0002-3520-7605
Hanieh Mazloom-FarsibafDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA.
Marjolein B M MeddensDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA.ORCID http://orcid.org/0000-0002-9965-1342
Alexandra S EklundDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Thomas SchlichthaerleDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.
Florian SchuederDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.ORCID http://orcid.org/0000-0003-3412-5066
Ralf JungmannDepartment of Physics and Center for Nanoscience, Ludwig Maximilian University, Munich, Germany.ORCID http://orcid.org/0000-0003-4607-3312
Keith A LidkeDepartment of Physics and Astronomy, University of New Mexico, Albuquerque, New Mexico, USA. klidke@unm.edu.ORCID http://orcid.org/0000-0002-9328-4318

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
UNM TRAININGP50GM085273 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI EDWARDS, JEREMY S · 2009 to 2018
$26.1M
Structural and Functional Interactions within the Neuronal ER/PM JunctionR01GM109888 · NIGMS · COLORADO STATE UNIVERSITY · PI BEAM, KURT G, KRAFT, MARY L · 2014 to 2017
$1.5M
Multi-target super-resolution imaging using sequential labelingR21EB019589 · NIBIB · UNIVERSITY OF NEW MEXICO · PI LIDKE, KEITH A · 2015 to 2016
$390k
NCI NIH HHS P30 CA118100NIBIB NIH HHS R21 EB019589NIGMS NIH HHS P50 GM085273NIGMS NIH HHS R01 GM109888U.S. Department of Health & Human Services | National Institutes of Health (NIH) NIH 1R01GM109888-01U.S. Department of Health & Human Services | National Institutes of Health (NIH) NIH 1R21EB019589U.S. Department of Health & Human Services | National Institutes of Health (NIH) NIH P50GM085273
6 · The paper itself

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.

Indexed as

Bayes TheoremMarkov ChainsMonte Carlo MethodAlgorithmsHumansProbabilityUncertainty

Identifiers

PMID31551452
PMCPMC6760159

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.