Evidence map›Paper›PMID 15711810›Full record

ArticleEuropean biophysics journal : EBJ2005

Global analysis of fluorescence fluctuation data.

Victor V Skakun, Mark A Hink, Anatoli V Digris, Ruchira Engel, Eugene G Novikov, Vladimir V Apanasovich, Antonie J W G Visser

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In one paragraph

Article in European biophysics journal : EBJ, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

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  16. Proteins as micro viscosimeters: Brownian motion revisited.European biophysics journal : EBJ · 2006
    Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors.

Victor V SkakunDepartment of Systems Analysis, Belarusian State University, Minsk 220050, Belarus.
Mark A Hink
Anatoli V Digris
Ruchira Engel
Eugene G Novikov
Vladimir V Apanasovich
Antonie J W G Visser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade the number of applications of fluorescence correlation spectroscopy (FCS) has grown rapidly. Here we describe the development and application of a software package, FCS Data Processor, to analyse the acquired correlation curves. The algorithms combine strong analytical power with flexibility in use. It is possible to generate initial guesses, link and constrain fit parameters to improve the accuracy and speed of analysis. A global analysis approach, which is most effective in analysing autocorrelation curves determined from fluorescence fluctuations of complex biophysical systems, can also be implemented. The software contains a library of frequently used models that can be easily extended to include user-defined models. The use of the software is illustrated by analysis of different experimental fluorescence fluctuation data sets obtained with Rhodamine Green in aqueous solution and enhanced green fluorescent protein in vitro and in vivo.

Indexed as

AlgorithmsAnimalsBiophysicsCalibrationDictyosteliumDiffusionFluorescent DyesGreen Fluorescent ProteinsHydrogen-Ion ConcentrationImage Interpretation, Computer-AssistedMicroscopy, FluorescenceModels, StatisticalModels, TheoreticalPhosphatesRhodaminesSoftwareFluorescent DyesGreen Fluorescent ProteinsPhosphatesRhodamines

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.