Evidence map›Paper›PMID 28749450›Full record

ArticleSensors (Basel, Switzerland)2017

Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra.

Eliana Cordero, Florian Korinth, Clara Stiebing, Christoph Krafft, Iwan W Schie, Jürgen Popp

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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.

Eliana CorderoLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. eliana.cordero@leibniz-ipht.de.
Florian KorinthLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. florian.korinth@leibniz-ipht.de.
Clara StiebingLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. clara.stiebing@leibniz-ipht.de.
Christoph KrafftLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. christoph.krafft@ipht-jena.de.
Iwan W SchieLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. iwan.schie@leibniz-ipht.de.
Jürgen PoppLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, Germany. juergen.popp@leibniz-ipht.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy provides label-free biochemical information from tissue samples without complicated sample preparation. The clinical capability of Raman spectroscopy has been demonstrated in a wide range of in vitro and in vivo applications. However, a challenge for in vivo applications is the simultaneous excitation of auto-fluorescence in the majority of tissues of interest, such as liver, bladder, brain, and others. Raman bands are then superimposed on a fluorescence background, which can be several orders of magnitude larger than the Raman signal. To eliminate the disturbing fluorescence background, several approaches are available. Among instrumentational methods shifted excitation Raman difference spectroscopy (SERDS) has been widely applied and studied. Similarly, computational techniques, for instance extended multiplicative scatter correction (EMSC), have also been employed to remove undesired background contributions. Here, we present a theoretical and experimental evaluation and comparison of fluorescence background removal approaches for Raman spectra based on SERDS and EMSC.

Indexed as

Spectrum Analysis, RamanComputersSpectrometry, Fluorescencebackground correctionEMSCRaman spectroscopySERDSsignal to noise ratio

Identifiers

PMID28749450
PMCPMC5579526

What OpenQuestion holds

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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.