Evidence map›Paper›PMID 29652886›Full record

ArticlePloS one2018

Simulations of camera-based single-molecule fluorescence experiments.

Richard Börner, Danny Kowerko, Mélodie C A S Hadzic, Sebastian L B König, Marc Ritter, Roland K O Sigel

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Site-Specific Dual-Color Labeling of Long RNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
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  6. Article
  7. Review
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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

6 authors.

Richard BörnerDepartment of Chemistry, University of Zurich, Zurich, Switzerland.
Danny KowerkoDepartment of Computer Science, Chemnitz University of Technology, Chemnitz, Germany.
Mélodie C A S HadzicDepartment of Chemistry, University of Zurich, Zurich, Switzerland.
Sebastian L B KönigDepartment of Chemistry, University of Zurich, Zurich, Switzerland.
Marc RitterDepartment of Applied Computer and Biosciences, Mittweida University of Applied Sciences, Mittweida, Germany.
Roland K O SigelDepartment of Chemistry, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1307-7993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-molecule microscopy has become a widely used technique in (bio)physics and (bio)chemistry. A popular implementation is single-molecule Förster Resonance Energy Transfer (smFRET), for which total internal reflection fluorescence microscopy is frequently combined with camera-based detection of surface-immobilized molecules. Camera-based smFRET experiments generate large and complex datasets and several methods for video processing and analysis have been reported. As these algorithms often address similar aspects in video analysis, there is a growing need for standardized comparison. Here, we present a Matlab-based software (MASH-FRET) that allows for the simulation of camera-based smFRET videos, yielding standardized data sets suitable for benchmarking video processing algorithms. The software permits to vary parameters that are relevant in cameras-based smFRET, such as video quality, and the properties of the system under study. Experimental noise is modeled taking into account photon statistics and camera noise. Finally, we survey how video test sets should be designed to evaluate currently available data analysis strategies in camera-based sm fluorescence experiments. We complement our study by pre-optimizing and evaluating spot detection algorithms using our simulated video test sets.

Indexed as

AlgorithmsFluorescence Resonance Energy TransferSoftwareMarkov ChainsStatistics as TopicVideo Recording

Identifiers

PMID29652886
PMCPMC5898730

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Registered trials

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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.