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

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 si...

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Main Authors: Eliana Cordero, Florian Korinth, Clara Stiebing, Christoph Krafft, Iwan W. Schie, Jürgen Popp
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/17/8/1724
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author Eliana Cordero
Florian Korinth
Clara Stiebing
Christoph Krafft
Iwan W. Schie
Jürgen Popp
author_facet Eliana Cordero
Florian Korinth
Clara Stiebing
Christoph Krafft
Iwan W. Schie
Jürgen Popp
author_sort Eliana Cordero
collection DOAJ
description 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.
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spelling doaj.art-2760973871e54f44afbdb4957ab331fe2022-12-22T02:19:33ZengMDPI AGSensors1424-82202017-07-01178172410.3390/s17081724s17081724Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman SpectraEliana Cordero0Florian Korinth1Clara Stiebing2Christoph Krafft3Iwan W. Schie4Jürgen Popp5Leibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyLeibniz Institute of Photonic Technology (IPHT), Albert-Einstein-Straße 9, Jena 07743, GermanyRaman 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.https://www.mdpi.com/1424-8220/17/8/1724Raman spectroscopySERDSEMSCbackground correctionsignal to noise ratio
spellingShingle Eliana Cordero
Florian Korinth
Clara Stiebing
Christoph Krafft
Iwan W. Schie
Jürgen Popp
Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
Sensors
Raman spectroscopy
SERDS
EMSC
background correction
signal to noise ratio
title Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
title_full Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
title_fullStr Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
title_full_unstemmed Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
title_short Evaluation of Shifted Excitation Raman Difference Spectroscopy and Comparison to Computational Background Correction Methods Applied to Biochemical Raman Spectra
title_sort evaluation of shifted excitation raman difference spectroscopy and comparison to computational background correction methods applied to biochemical raman spectra
topic Raman spectroscopy
SERDS
EMSC
background correction
signal to noise ratio
url https://www.mdpi.com/1424-8220/17/8/1724
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