Evidence map›Paper›PMID 41000201›Full record

ArticleChemical & biomedical imaging2025

Unmixing Hyperspectral SRS Images in the Cell-Silent Region of the Raman Spectrum Using Phasor Analysis.

William J Tipping, Gwyn W Gould, Karen Faulds, Duncan Graham

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

William J TippingCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, United Kingdom.ORCID https://orcid.org/0000-0003-4273-2691
Gwyn W GouldStrathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow G4 0RE, United Kingdom.
Karen FauldsCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, United Kingdom.ORCID https://orcid.org/0000-0002-5567-7399
Duncan GrahamCentre for Molecular Nanometrology, Department of Pure and Applied Chemistry, Technology and Innovation Centre, University of Strathclyde, Glasgow G1 1RD, United Kingdom.ORCID https://orcid.org/0000-0002-6079-2105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperspectral stimulated Raman scattering (SRS) microscopy is rapidly becoming an established method for chemical and biomedical imaging due to the combination of high spatial resolution and chemical information contained within the three-dimensional data set. Chemometric analysis techniques based on linear unmixing, or multivariate analysis, have become indispensable when visualizing hyperspectral data sets. The application of spectral phasor analysis has also been extremely fruitful in this regard, providing a convenient method to retrieve the spatial and chemical components of the data set. Here, we demonstrate the application of spectral phasor analysis for unmixing the overlapping spectral features within the cell-silent region of the SRS spectrum (2000-2300 cm

Indexed as

bioorthogonal labelingchemometricsspectral phasor analysisstimulated Raman scattering microscopy

Identifiers

PMID41000201
PMCPMC12457996

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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.