Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue
A system that combines dispersive infrared micro‐spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivit...
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Veröffentlicht in: | Journal of biophotonics 2018-12, Vol.11 (12), p.e201800187-n/a |
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description | A system that combines dispersive infrared micro‐spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivity to be interpreted from the integrated absorbance obtained by spectroscopic imaging. Biochemical differences between cancer and benign areas within the specimens are identified in the spectra. Side‐by‐side comparison of H&E stained adjacent tissue sections with infrared images constructed before and after the removal of thermal effect showed that the latter strongly support differentiation of regions within tissues. The use of spectral bands at discrete wavelengths significantly reduced spectral acquisition time, making this technique promising as a future clinical diagnostic tool. A systemic methodology was implemented to process the data, first by k‐means clustering on the second derivative spectra without a priori knowledge, followed by principal component analysis (PCA). Four distinct regions within the tissue samples were successfully classified based on the antisymmetric stretching mode of the methylene functional group. Separation between data in clusters occurs when projecting spectra on a PCA score plot on a plane made by first 2 principal components. The significance of the disparity was verified with statistical test. Regulation of signal to chopper and detector enables simultaneous acquisition of infrared and thermal images of the prostate biopsy tissues.
This study presents, for the first time, an application of a new combined instrument to obtain chemical and thermal images of tissue samples simultaneously. This novel investigation revealed a new insight into the effect of thermal radiation on the contrast of chemical images. The demonstrated approach will be of great interests to molecular spectroscopists and clinicians, where obtaining comprehensive chemical and thermal information about tissue samples is required. |
doi_str_mv | 10.1002/jbio.201800187 |
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This study presents, for the first time, an application of a new combined instrument to obtain chemical and thermal images of tissue samples simultaneously. This novel investigation revealed a new insight into the effect of thermal radiation on the contrast of chemical images. The demonstrated approach will be of great interests to molecular spectroscopists and clinicians, where obtaining comprehensive chemical and thermal information about tissue samples is required.</description><identifier>ISSN: 1864-063X</identifier><identifier>EISSN: 1864-0648</identifier><identifier>DOI: 10.1002/jbio.201800187</identifier><identifier>PMID: 30003714</identifier><language>eng</language><publisher>Weinheim: WILEY‐VCH Verlag GmbH & Co. KGaA</publisher><subject>Absorption spectra ; Biopsy ; Cancer ; Clustering ; Diagnostic software ; Diagnostic systems ; dispersive infrared spectroscopy ; Emissivity ; Functional groups ; Image acquisition ; Infrared absorption ; Infrared imagery ; Infrared imaging ; Infrared spectra ; Infrared spectroscopy ; k‐means clustering ; Medical imaging ; principal component analysis ; Principal components analysis ; Prostate ; Prostate cancer ; Spectral bands ; spectroscopic imaging ; Statistical analysis ; Statistical methods ; Statistical tests ; Thermal imaging ; Thermal radiation ; Thermography ; Tissues ; Wavelengths</subject><ispartof>Journal of biophotonics, 2018-12, Vol.11 (12), p.e201800187-n/a</ispartof><rights>2018 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</rights><rights>2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5237-185a6c3612c619b6c55a89ef47417647e21e75ce03c5c95fcaa977f43dad9bfb3</citedby><cites>FETCH-LOGICAL-c5237-185a6c3612c619b6c55a89ef47417647e21e75ce03c5c95fcaa977f43dad9bfb3</cites><orcidid>0000-0002-9530-9478 ; 0000-0003-1768-9134</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjbio.201800187$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjbio.201800187$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30003714$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Cai L.</creatorcontrib><creatorcontrib>Ryu, Meguya</creatorcontrib><creatorcontrib>Morikawa, Junko</creatorcontrib><creatorcontrib>Kothari, Archana</creatorcontrib><creatorcontrib>Kazarian, Sergei G.</creatorcontrib><title>Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue</title><title>Journal of biophotonics</title><addtitle>J Biophotonics</addtitle><description>A system that combines dispersive infrared micro‐spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivity to be interpreted from the integrated absorbance obtained by spectroscopic imaging. Biochemical differences between cancer and benign areas within the specimens are identified in the spectra. Side‐by‐side comparison of H&E stained adjacent tissue sections with infrared images constructed before and after the removal of thermal effect showed that the latter strongly support differentiation of regions within tissues. The use of spectral bands at discrete wavelengths significantly reduced spectral acquisition time, making this technique promising as a future clinical diagnostic tool. A systemic methodology was implemented to process the data, first by k‐means clustering on the second derivative spectra without a priori knowledge, followed by principal component analysis (PCA). Four distinct regions within the tissue samples were successfully classified based on the antisymmetric stretching mode of the methylene functional group. Separation between data in clusters occurs when projecting spectra on a PCA score plot on a plane made by first 2 principal components. The significance of the disparity was verified with statistical test. Regulation of signal to chopper and detector enables simultaneous acquisition of infrared and thermal images of the prostate biopsy tissues.
This study presents, for the first time, an application of a new combined instrument to obtain chemical and thermal images of tissue samples simultaneously. This novel investigation revealed a new insight into the effect of thermal radiation on the contrast of chemical images. The demonstrated approach will be of great interests to molecular spectroscopists and clinicians, where obtaining comprehensive chemical and thermal information about tissue samples is required.</description><subject>Absorption spectra</subject><subject>Biopsy</subject><subject>Cancer</subject><subject>Clustering</subject><subject>Diagnostic software</subject><subject>Diagnostic systems</subject><subject>dispersive infrared spectroscopy</subject><subject>Emissivity</subject><subject>Functional groups</subject><subject>Image acquisition</subject><subject>Infrared absorption</subject><subject>Infrared imagery</subject><subject>Infrared imaging</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>k‐means clustering</subject><subject>Medical imaging</subject><subject>principal component analysis</subject><subject>Principal components analysis</subject><subject>Prostate</subject><subject>Prostate cancer</subject><subject>Spectral bands</subject><subject>spectroscopic imaging</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Statistical tests</subject><subject>Thermal imaging</subject><subject>Thermal radiation</subject><subject>Thermography</subject><subject>Tissues</subject><subject>Wavelengths</subject><issn>1864-063X</issn><issn>1864-0648</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFkMtLxDAQxoMovq8eJeDFy66TR5P2qOITwYuCt5CmE83SbdekVfzvjayu4MXDMMPwm49vPkIOGEwZAD-Z1aGfcmAl5NJrZJuVSk5AyXJ9NYunLbKT0gxAgSjEJtkSACA0k9vk8eEF49y2FL1HN9C-o01IC4wpvCENnY82YkPzxg2xT65fBEfD3D6H7pn2ni7ycrADUmc7h5EOIaUR98iGt23C_e--Sx4vLx7Oryd391c356d3E1dwoSesLKxyQjHuFKtq5YrClhV6qSXTSmrkDHXhEIQrXFV4Z22ltZeisU1V-1rskuOlbrbxOmIazDwkh21rO-zHZDho4JKD1Bk9-oPO-jF22Z3hTEIJshIqU9Ml5fJfKaI3i5i_jR-GgfkK3HwFblaB54PDb9mxnmOzwn8SzkC1BN5Dix__yJnbs5v7X_FPHnmNBg</recordid><startdate>201812</startdate><enddate>201812</enddate><creator>Song, Cai L.</creator><creator>Ryu, Meguya</creator><creator>Morikawa, Junko</creator><creator>Kothari, Archana</creator><creator>Kazarian, Sergei G.</creator><general>WILEY‐VCH Verlag GmbH & Co. KGaA</general><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7SP</scope><scope>7SR</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>K9.</scope><scope>L7M</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-9530-9478</orcidid><orcidid>https://orcid.org/0000-0003-1768-9134</orcidid></search><sort><creationdate>201812</creationdate><title>Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue</title><author>Song, Cai L. ; Ryu, Meguya ; Morikawa, Junko ; Kothari, Archana ; Kazarian, Sergei G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5237-185a6c3612c619b6c55a89ef47417647e21e75ce03c5c95fcaa977f43dad9bfb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Absorption spectra</topic><topic>Biopsy</topic><topic>Cancer</topic><topic>Clustering</topic><topic>Diagnostic software</topic><topic>Diagnostic systems</topic><topic>dispersive infrared spectroscopy</topic><topic>Emissivity</topic><topic>Functional groups</topic><topic>Image acquisition</topic><topic>Infrared absorption</topic><topic>Infrared imagery</topic><topic>Infrared imaging</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>k‐means clustering</topic><topic>Medical imaging</topic><topic>principal component analysis</topic><topic>Principal components analysis</topic><topic>Prostate</topic><topic>Prostate cancer</topic><topic>Spectral bands</topic><topic>spectroscopic imaging</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Statistical tests</topic><topic>Thermal imaging</topic><topic>Thermal radiation</topic><topic>Thermography</topic><topic>Tissues</topic><topic>Wavelengths</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, Cai L.</creatorcontrib><creatorcontrib>Ryu, Meguya</creatorcontrib><creatorcontrib>Morikawa, Junko</creatorcontrib><creatorcontrib>Kothari, Archana</creatorcontrib><creatorcontrib>Kazarian, Sergei G.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biophotonics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Cai L.</au><au>Ryu, Meguya</au><au>Morikawa, Junko</au><au>Kothari, Archana</au><au>Kazarian, Sergei G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue</atitle><jtitle>Journal of biophotonics</jtitle><addtitle>J Biophotonics</addtitle><date>2018-12</date><risdate>2018</risdate><volume>11</volume><issue>12</issue><spage>e201800187</spage><epage>n/a</epage><pages>e201800187-n/a</pages><issn>1864-063X</issn><eissn>1864-0648</eissn><abstract>A system that combines dispersive infrared micro‐spectroscopic imaging and thermography has been developed to study the effect of thermal radiation on the infrared absorption spectra of prostate biopsy samples. The system allows the distribution of thermal signal intensity as a function of emissivity to be interpreted from the integrated absorbance obtained by spectroscopic imaging. Biochemical differences between cancer and benign areas within the specimens are identified in the spectra. Side‐by‐side comparison of H&E stained adjacent tissue sections with infrared images constructed before and after the removal of thermal effect showed that the latter strongly support differentiation of regions within tissues. The use of spectral bands at discrete wavelengths significantly reduced spectral acquisition time, making this technique promising as a future clinical diagnostic tool. A systemic methodology was implemented to process the data, first by k‐means clustering on the second derivative spectra without a priori knowledge, followed by principal component analysis (PCA). Four distinct regions within the tissue samples were successfully classified based on the antisymmetric stretching mode of the methylene functional group. Separation between data in clusters occurs when projecting spectra on a PCA score plot on a plane made by first 2 principal components. The significance of the disparity was verified with statistical test. Regulation of signal to chopper and detector enables simultaneous acquisition of infrared and thermal images of the prostate biopsy tissues.
This study presents, for the first time, an application of a new combined instrument to obtain chemical and thermal images of tissue samples simultaneously. This novel investigation revealed a new insight into the effect of thermal radiation on the contrast of chemical images. The demonstrated approach will be of great interests to molecular spectroscopists and clinicians, where obtaining comprehensive chemical and thermal information about tissue samples is required.</abstract><cop>Weinheim</cop><pub>WILEY‐VCH Verlag GmbH & Co. KGaA</pub><pmid>30003714</pmid><doi>10.1002/jbio.201800187</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9530-9478</orcidid><orcidid>https://orcid.org/0000-0003-1768-9134</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Absorption spectra Biopsy Cancer Clustering Diagnostic software Diagnostic systems dispersive infrared spectroscopy Emissivity Functional groups Image acquisition Infrared absorption Infrared imagery Infrared imaging Infrared spectra Infrared spectroscopy k‐means clustering Medical imaging principal component analysis Principal components analysis Prostate Prostate cancer Spectral bands spectroscopic imaging Statistical analysis Statistical methods Statistical tests Thermal imaging Thermal radiation Thermography Tissues Wavelengths |
title | Thermal effect on dispersive infrared spectroscopic imaging of prostate cancer tissue |
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