Evidence map›Paper›PMID 10733990›Full record

ArticleBiophysical journal2000

Global analysis of fluorescence lifetime imaging microscopy data.

P J Verveer, A Squire, P I Bastiaens

Abstract read
In one paragraph

Article in Biophysical journal, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Article
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  5. Review
  6. gDAIS: A Global Analysis Application for Obtaining Confidence in FLIM.Proceedings of SPIE--the International Society for Optical Engineering · 2026
    Article
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  9. Review
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  11. Article
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21 more citing papers are in PubMed but not listed here.

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

3 authors.

P J VerveerCell Biophysics Laboratory, Imperial Cancer Research Fund, London WC2A 3PX, England.
A Squire
P I Bastiaens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global analysis techniques are described for frequency domain fluorescence lifetime imaging microscopy (FLIM) data. These algorithms exploit the prior knowledge that only a limited number of fluorescent molecule species whose lifetimes do not vary spatially are present in the sample. Two approaches to implementing the lifetime invariance constraint are described. In the lifetime invariant fit method, each image in the lifetime image sequence is spatially averaged to obtain an improved signal-to-noise ratio. The lifetime estimations from these averaged data are used to recover the fractional contribution to the steady-state fluorescence on a pixel-by-pixel basis for each species. The second, superior, approach uses a global analysis technique that simultaneously fits the fractional contributions in all pixels and the spatially invariant lifetimes. In frequency domain FLIM the maximum number of lifetimes that can be fit with the global analysis method is twice the number of lifetimes that can be fit with conventional approaches. As a result, it is possible to discern two lifetimes with a single-frequency FLIM setup. The algorithms were tested on simulated data and then applied to separate the cellular distributions of coexpressed green fluorescent proteins in living cells.

Indexed as

AlgorithmsAnimalsBacterial ProteinsChlorocebus aethiopsData Interpretation, StatisticalFluorescent DyesGreen Fluorescent ProteinsHeLa CellsHumansLuminescent ProteinsMicroscopy, FluorescenceVero CellsBacterial ProteinsFluorescent DyesGreen Fluorescent ProteinsLuminescent Proteinsyellow fluorescent protein, Bacteria

Identifiers

PMID10733990
PMCPMC1300804

What OpenQuestion holds

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Read underepoch 390

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.