Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging
For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma in situ (DCIS), and invasive...
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Veröffentlicht in: | Chinese physics B 2023-11, Vol.32 (11), p.118703-178 |
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description | For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma
in situ
(DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis. |
doi_str_mv | 10.1088/1674-1056/acea67 |
format | Article |
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in situ
(DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis.</description><identifier>ISSN: 1674-1056</identifier><identifier>EISSN: 2058-3834</identifier><identifier>DOI: 10.1088/1674-1056/acea67</identifier><language>eng</language><publisher>Chinese Physical Society and IOP Publishing Ltd</publisher><subject>breast cancer ; nonlinear multiphoton microscopic imaging ; Raman microspectral imaging</subject><ispartof>Chinese physics B, 2023-11, Vol.32 (11), p.118703-178</ispartof><rights>2023 Chinese Physical Society and IOP Publishing Ltd</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c298t-f7b6cb17d986ccaccad3345c4fa6d04d61506f0d31375bb5939f2e9768c869663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zgwl-e/zgwl-e.jpg</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1674-1056/acea67/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,780,784,27924,27925,53846</link.rule.ids></links><search><creatorcontrib>Gao, Bing-Ran</creatorcontrib><creatorcontrib>Chen, Xi-Wen</creatorcontrib><creatorcontrib>Zhang, Bao-Ping</creatorcontrib><creatorcontrib>A. Bratchenko, Ivan</creatorcontrib><creatorcontrib>Chen, Jian-Xin</creatorcontrib><creatorcontrib>Wang, Shuang</creatorcontrib><creatorcontrib>Xu, Si-Yuan</creatorcontrib><title>Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging</title><title>Chinese physics B</title><addtitle>Chin. Phys. B</addtitle><description>For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma
in situ
(DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis.</description><subject>breast cancer</subject><subject>nonlinear multiphoton microscopic imaging</subject><subject>Raman microspectral imaging</subject><issn>1674-1056</issn><issn>2058-3834</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LxDAQhoMouK7ePeamB-smTZumx2XxCwRB9BymadLt0iYl6brorzd1RS8iDAzDPDPvzIvQOSXXlAixoLzIEkpyvgClgRcHaJaSXCRMsOwQzX7ax-gkhA0hnJKUzdCwDEGH0NoGDzCuXeeaVkGHjYZx63XAzuDKawgjVmCV9vitBTyuNe633dj2ro5wa43zPYytsxP_1RnWbowl2Bo_Qw8Wtz00UeYUHRnogj77znP0envzsrpPHp_uHlbLx0SlpRgTU1RcVbSoS8GVghg1Y1muMgO8JlnNaU64ITWjrMirKi9ZaVJdFlwowUvO2Rxd7PfuwBqwjdy4rbdRUX40u07qNL5PKaFlJMmeVN6F4LWRg4_H-ndJiZy8lZN5cjJP7r2NI1f7kdYNv4v_wS__wNVQSZZKSmOIgjA51IZ9Av2wiqE</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Gao, Bing-Ran</creator><creator>Chen, Xi-Wen</creator><creator>Zhang, Bao-Ping</creator><creator>A. Bratchenko, Ivan</creator><creator>Chen, Jian-Xin</creator><creator>Wang, Shuang</creator><creator>Xu, Si-Yuan</creator><general>Chinese Physical Society and IOP Publishing Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20231101</creationdate><title>Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging</title><author>Gao, Bing-Ran ; Chen, Xi-Wen ; Zhang, Bao-Ping ; A. Bratchenko, Ivan ; Chen, Jian-Xin ; Wang, Shuang ; Xu, Si-Yuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c298t-f7b6cb17d986ccaccad3345c4fa6d04d61506f0d31375bb5939f2e9768c869663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>breast cancer</topic><topic>nonlinear multiphoton microscopic imaging</topic><topic>Raman microspectral imaging</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gao, Bing-Ran</creatorcontrib><creatorcontrib>Chen, Xi-Wen</creatorcontrib><creatorcontrib>Zhang, Bao-Ping</creatorcontrib><creatorcontrib>A. Bratchenko, Ivan</creatorcontrib><creatorcontrib>Chen, Jian-Xin</creatorcontrib><creatorcontrib>Wang, Shuang</creatorcontrib><creatorcontrib>Xu, Si-Yuan</creatorcontrib><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Chinese physics B</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gao, Bing-Ran</au><au>Chen, Xi-Wen</au><au>Zhang, Bao-Ping</au><au>A. Bratchenko, Ivan</au><au>Chen, Jian-Xin</au><au>Wang, Shuang</au><au>Xu, Si-Yuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging</atitle><jtitle>Chinese physics B</jtitle><addtitle>Chin. Phys. B</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>32</volume><issue>11</issue><spage>118703</spage><epage>178</epage><pages>118703-178</pages><issn>1674-1056</issn><eissn>2058-3834</eissn><abstract>For unveiling the pathological evolution of breast cancer, nonlinear multiphoton microscopic (MPM) and confocal Raman microspectral imaging (CRMI) techniques were both utilized to address the structural and constitutional characteristics of healthy (H), ductal carcinoma
in situ
(DCIS), and invasive ductal carcinoma (IDC) tissues. MPM-based techniques, including two-photon excited fluorescence (TPEF) and second harmonic generation (SHG), visualized label-free and the fine structure of breast tissue. Meanwhile, CRMI not only presented the chemical images of investigated samples with the K-mean cluster analysis method (KCA), but also pictured the distribution of components in the scanned area through univariate imaging. MPM images illustrated that the cancer cells first arranged around the basement membrane of the duct, then proliferated to fill the lumens of the duct, and finally broke through the basement membrane to infiltrate into the stroma. Although the Raman imaging failed to visualize the cell structure with high resolution, it explained spectroscopically the gradual increase of nucleic acid and protein components inside the ducts as cancer cells proliferated, and displayed the distribution pattern of each biological component during the evolution of breast cancer. Thus, the combination of MPM and CRMI provided new insights into the on-site pathological diagnosis of malignant breast cancer, also ensured technical support for the development of multimodal optical imaging techniques for precise histopathological analysis.</abstract><pub>Chinese Physical Society and IOP Publishing Ltd</pub><doi>10.1088/1674-1056/acea67</doi><tpages>10</tpages></addata></record> |
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subjects | breast cancer nonlinear multiphoton microscopic imaging Raman microspectral imaging |
title | Assessing pathological features of breast cancer via the multimodal information of multiphoton and Raman imaging |
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