Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications
We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improveme...
Gespeichert in:
Veröffentlicht in: | Optics express 2008-08, Vol.16 (17), p.12737-12745 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 12745 |
---|---|
container_issue | 17 |
container_start_page | 12737 |
container_title | Optics express |
container_volume | 16 |
creator | Bechtel, Kate L Shih, Wei-Chuan Feld, Michael S |
description | We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration. |
doi_str_mv | 10.1364/OE.16.012737 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2845389</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>69441949</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-eac72c0181e0d28fe467e6fe82d1794484b0f91f7e71052f7044bdded0a226d83</originalsourceid><addsrcrecordid>eNpVkc9LwzAUx4MoOqc3z9KTJzfz0qxJPQgiUwuDgeg5ZOmrRtqmS9Kh_72VDX-c8iAfvu_D-xJyBnQKacavlvMpZFMKTKRij4yA5nzCqRT7f-YjchzCO6XARS4OyRFIATADNiJvRRu9bYM1yZNudJuEDk30LhjXfSaV88m61220UUe7wWRlXe1erdH1f7DTPiZFcZ3gR4feNtjGAdFdVw9stK4NJ-Sg0nXA0907Ji_38-e7x8li-VDc3S4mJpUsTlAbwQwFCUhLJivkmcCsQslKEDnnkq9olUMlUACdsUpQzldliSXVjGWlTMfkZpvb9asGSzOYeF2rbpDS_lM5bdX_n9a-qVe3UUzyWSrzIeBiF-DduscQVWODwbrWLbo-qGywgJx_g5db0AxXCB6rnyVA1Xc1ajlXkKltNQN-_lfsF951kX4BSJyNVA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>69441949</pqid></control><display><type>article</type><title>Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>EZB Electronic Journals Library</source><creator>Bechtel, Kate L ; Shih, Wei-Chuan ; Feld, Michael S</creator><creatorcontrib>Bechtel, Kate L ; Shih, Wei-Chuan ; Feld, Michael S</creatorcontrib><description>We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.</description><identifier>ISSN: 1094-4087</identifier><identifier>EISSN: 1094-4087</identifier><identifier>DOI: 10.1364/OE.16.012737</identifier><identifier>PMID: 18711512</identifier><language>eng</language><publisher>United States</publisher><subject>Biopolymers - chemistry ; Computer Simulation ; Light ; Models, Biological ; Models, Chemical ; Nephelometry and Turbidimetry - methods ; Scattering, Radiation ; Spectrum Analysis, Raman - methods</subject><ispartof>Optics express, 2008-08, Vol.16 (17), p.12737-12745</ispartof><rights>2008 Optical Society of America 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-eac72c0181e0d28fe467e6fe82d1794484b0f91f7e71052f7044bdded0a226d83</citedby><cites>FETCH-LOGICAL-c382t-eac72c0181e0d28fe467e6fe82d1794484b0f91f7e71052f7044bdded0a226d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,860,881,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18711512$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bechtel, Kate L</creatorcontrib><creatorcontrib>Shih, Wei-Chuan</creatorcontrib><creatorcontrib>Feld, Michael S</creatorcontrib><title>Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications</title><title>Optics express</title><addtitle>Opt Express</addtitle><description>We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.</description><subject>Biopolymers - chemistry</subject><subject>Computer Simulation</subject><subject>Light</subject><subject>Models, Biological</subject><subject>Models, Chemical</subject><subject>Nephelometry and Turbidimetry - methods</subject><subject>Scattering, Radiation</subject><subject>Spectrum Analysis, Raman - methods</subject><issn>1094-4087</issn><issn>1094-4087</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVkc9LwzAUx4MoOqc3z9KTJzfz0qxJPQgiUwuDgeg5ZOmrRtqmS9Kh_72VDX-c8iAfvu_D-xJyBnQKacavlvMpZFMKTKRij4yA5nzCqRT7f-YjchzCO6XARS4OyRFIATADNiJvRRu9bYM1yZNudJuEDk30LhjXfSaV88m61220UUe7wWRlXe1erdH1f7DTPiZFcZ3gR4feNtjGAdFdVw9stK4NJ-Sg0nXA0907Ji_38-e7x8li-VDc3S4mJpUsTlAbwQwFCUhLJivkmcCsQslKEDnnkq9olUMlUACdsUpQzldliSXVjGWlTMfkZpvb9asGSzOYeF2rbpDS_lM5bdX_n9a-qVe3UUzyWSrzIeBiF-DduscQVWODwbrWLbo-qGywgJx_g5db0AxXCB6rnyVA1Xc1ajlXkKltNQN-_lfsF951kX4BSJyNVA</recordid><startdate>20080818</startdate><enddate>20080818</enddate><creator>Bechtel, Kate L</creator><creator>Shih, Wei-Chuan</creator><creator>Feld, Michael S</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20080818</creationdate><title>Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications</title><author>Bechtel, Kate L ; Shih, Wei-Chuan ; Feld, Michael S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-eac72c0181e0d28fe467e6fe82d1794484b0f91f7e71052f7044bdded0a226d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Biopolymers - chemistry</topic><topic>Computer Simulation</topic><topic>Light</topic><topic>Models, Biological</topic><topic>Models, Chemical</topic><topic>Nephelometry and Turbidimetry - methods</topic><topic>Scattering, Radiation</topic><topic>Spectrum Analysis, Raman - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bechtel, Kate L</creatorcontrib><creatorcontrib>Shih, Wei-Chuan</creatorcontrib><creatorcontrib>Feld, Michael S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Optics express</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bechtel, Kate L</au><au>Shih, Wei-Chuan</au><au>Feld, Michael S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications</atitle><jtitle>Optics express</jtitle><addtitle>Opt Express</addtitle><date>2008-08-18</date><risdate>2008</risdate><volume>16</volume><issue>17</issue><spage>12737</spage><epage>12745</epage><pages>12737-12745</pages><issn>1094-4087</issn><eissn>1094-4087</eissn><abstract>We demonstrate the effectiveness of intrinsic Raman spectroscopy (IRS) at reducing errors caused by absorption and scattering. Physical tissue models, solutions of varying absorption and scattering coefficients with known concentrations of Raman scatterers, are studied. We show significant improvement in prediction error by implementing IRS to predict concentrations of Raman scatterers using both ordinary least squares regression (OLS) and partial least squares regression (PLS). In particular, we show that IRS provides a robust calibration model that does not increase in error when applied to samples with optical properties outside the range of calibration.</abstract><cop>United States</cop><pmid>18711512</pmid><doi>10.1364/OE.16.012737</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1094-4087 |
ispartof | Optics express, 2008-08, Vol.16 (17), p.12737-12745 |
issn | 1094-4087 1094-4087 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2845389 |
source | MEDLINE; DOAJ Directory of Open Access Journals; EZB Electronic Journals Library |
subjects | Biopolymers - chemistry Computer Simulation Light Models, Biological Models, Chemical Nephelometry and Turbidimetry - methods Scattering, Radiation Spectrum Analysis, Raman - methods |
title | Intrinsic Raman spectroscopy for quantitative biological spectroscopy part II: experimental applications |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T14%3A51%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Intrinsic%20Raman%20spectroscopy%20for%20quantitative%20biological%20spectroscopy%20part%20II:%20experimental%20applications&rft.jtitle=Optics%20express&rft.au=Bechtel,%20Kate%20L&rft.date=2008-08-18&rft.volume=16&rft.issue=17&rft.spage=12737&rft.epage=12745&rft.pages=12737-12745&rft.issn=1094-4087&rft.eissn=1094-4087&rft_id=info:doi/10.1364/OE.16.012737&rft_dat=%3Cproquest_pubme%3E69441949%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=69441949&rft_id=info:pmid/18711512&rfr_iscdi=true |