ArticleNature communications2022
High-precision estimation of emitter positions using Bayesian grouping of localizations.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed.
- Re-establishment of TAD boundary organization during DNA replication.bioRxiv : the preprint server for biology · 2026Article
- Tetraspanin CD82 shapes EGFR signaling outcomes through nanoscale receptor organization.The Journal of cell biology · 2026Article
- High-speed 3D DNA PAINT and unsupervised clustering for unlocking 3D DNA origami cryptography.Nature communications · 2025Article
- A methodology to reduce the localization error in multi-loci microscopy provides new insights into enhancer biology.PLoS computational biology · 2025Article
- Antigen properties shape organization of FcεRI aggregates to tune mast cell signaling.bioRxiv : the preprint server for biology · 2025Article
- Super-resolution microscopy for structural biology.Nature methods · 2025Review
- Simultaneous particle tracking, phase retrieval and point spread function reconstruction.bioRxiv : the preprint server for biology · 2025Article
- Bayesian Nonparametric Analysis of Residence Times for Protein-Lipid Interactions in Molecular Dynamics Simulations.Journal of chemical theory and computation · 2025Article
- A MATLAB-based Instrument Control (MIC) package for fluorescence imaging.Journal of open source software · 2025Article
- Building Fluorescence Lifetime Maps Photon-by-Photon by Leveraging Spatial Correlations.ACS photonics · 2023Article
- Article
- Fluorescence lifetime: Beating the IRF and interpulse window.Biophysical journal · 2023Article
- SMITE: Single Molecule Imaging Toolbox Extraordinaire (MATLAB).Journal of open source software · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.