Evidence map›Paper›PMID 35161742›Full record

ReviewSensors (Basel, Switzerland)2022

Linear Combination Properties of the Phasor Space in Fluorescence Imaging.

Belén Torrado, Leonel Malacrida, Suman Ranjit

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  13. A STEDable BFMembranes · 2025
    Article
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  16. Review
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  18. A FRET-based cGMP biosensor inmicroPublication biology · 2023
    Article
  19. Article
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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

3 authors.

Belén TorradoLaboratory for Fluorescence Dynamics, Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.ORCID 0000-0002-0679-3422
Leonel MalacridaDepartamento de Fisiopatología, Hospital de Clínicas, Facultad de Medicina, Universidad de la República, Montevideo 11600, Uruguay.ORCID 0000-0001-6253-9229
Suman RanjitDepartment of Biochemistry and Molecular & Cellular Biology, and Microscopy & Imaging Shared Resources, Georgetown University, Washington, DC 20007, USA.ORCID 0000-0003-3058-6332

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
TRD4: Phasor analysisP41GM103540 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GRATTON, ENRICO · 2012 to 2020
$12.5M
Role of Estrogen Related Receptors in Age Related Kidney DiseaseR01DK127830 · NIDDK · GEORGETOWN UNIVERSITY · PI MOSHE LEVI · 2021 to 2026
$4.2M
Chan Zuckerberg Initiative (United States) Imaging ScientistComisión Sectorial de Investigación Científica I+D (2018 #85)Fondo Clemente Estable Mod2 FCE-3-2018-1-149047NCI NIH HHS P30-CA051008NIDDK NIH HHS R01DK127830NIGMS NIH HHS P41-GM103540
6 · The paper itself

Abstract

The phasor approach to fluorescence lifetime imaging, and more recently hyperspectral fluorescence imaging, has increased the use of these techniques, and improved the ease and intuitiveness of the data analysis. The fit-free nature of the phasor plots increases the speed of the analysis and reduces the dimensionality, optimization of data handling and storage. The reciprocity principle between the real and imaginary space-where the phasor and the pixel that the phasor originated from are linked and can be converted from one another-has helped the expansion of this method. The phasor coordinates calculated from a pixel, where multiple fluorescent species are present, depends on the phasor positions of those components. The relative positions are governed by the linear combination properties of the phasor space. According to this principle, the phasor position of a pixel with multiple components lies inside the polygon whose vertices are occupied by the phasor positions of these individual components and the distance between the image phasor to any of the vertices is inversely proportional to the fractional intensity contribution of that component to the total fluorescence from that image pixel. The higher the fractional intensity contribution of a vertex, the closer is the resultant phasor. The linear additivity in the phasor space can be exploited to obtain the fractional intensity contribution from multiple species and quantify their contribution. This review details the various mathematical models that can be used to obtain two/three/four components from phasor space with known phasor signatures and then how to obtain both the fractional intensities and phasor positions without any prior knowledge of either, assuming they are mono-exponential in nature. We note that other than for blind components, there are no restrictions on the type of the decay or their phasor positions for linear combinations to be valid-and they are applicable to complicated fluorescence lifetime decays from components with intensity decays described by multi-exponentials.

Indexed as

Coloring AgentsOptical ImagingMicroscopy, FluorescenceColoring AgentsFLIMfractional intensityhyperspectral imaginglinear combination of phasormodel-freemultidimensional phasor plotmultiple component analysisphasorspectral phasor

Identifiers

PMID35161742
PMCPMC8840623

What OpenQuestion holds

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LicenceCC BY
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.