ArticleBioinformatics (Oxford, England)2016
Simulated single molecule microscopy with SMeagol.
Article in Bioinformatics (Oxford, England), 2016. 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.
- DeepTRACE brings flexible machine learning to single-molecule track analysis.Communications biology · 2026Article
- Image analysis optimization for nanowire-based optical detection of molecules.Nanophotonics (Berlin, Germany) · 2025Article
- Methods in quantitative biology-from analysis of single-cell microscopy images to inference of predictive models for stochastic gene expression.Physical biology · 2025Review
- Physically informed Monte Carlo simulation of dual-wedge prism-based spectroscopic single-molecule localization microscopy.Journal of biomedical optics · 2024Article
- Single molecule imaging simulations with advanced fluorophore photophysics.Communications biology · 2023Article
- 3D GAN image synthesis and dataset quality assessment for bacterial biofilm.Bioinformatics (Oxford, England) · 2022Article
- Spatiotemporal kinetics of the SRP pathway in liveProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Cega: a single particle segmentation algorithm to identify moving particles in a noisy system.Molecular biology of the cell · 2021Article
- A Review of Super-Resolution Single-Molecule Localization Microscopy Cluster Analysis and Quantification Methods.Patterns (New York, N.Y.) · 2020Review
- Variational Algorithms for Analyzing Noisy Multistate Diffusion Trajectories.Biophysical journal · 2018Article
- tRNA tracking for direct measurements of protein synthesis kinetics in live cells.Nature chemical biology · 2018Article
- Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis.Chemical reviews · 2017Article
- Pointwise error estimates in localization microscopy.Nature communications · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
unlabelledSMeagol is a software tool to simulate highly realistic microscopy data based on spatial systems biology models, in order to facilitate development, validation and optimization of advanced analysis methods for live cell single molecule microscopy data. AVAILABILITY AND IMPLEMENTATION: SMeagol runs on Matlab R2014 and later, and uses compiled binaries in C for reaction-diffusion simulations. Documentation, source code and binaries for Mac OS, Windows and Ubuntu Linux can be downloaded from http://smeagol.sourceforge.net CONTACT: johan.elf@icm.uu.se SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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.