Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform

Multiparametric fluorescence imaging through CODEX allows the simultaneous imaging of many biomarkers in a single tissue section. While the digital fluorescence data thus obtained can provide highly specific characterizations of individual cells and microenvironments, the images obtained are differe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of pathology informatics 2021-01, Vol.12 (1), p.52-52, Article 52
Hauptverfasser: Simonson, Paul D., Ren, Xiaobing, Fromm, Jonathan R.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 52
container_issue 1
container_start_page 52
container_title Journal of pathology informatics
container_volume 12
creator Simonson, Paul D.
Ren, Xiaobing
Fromm, Jonathan R.
description Multiparametric fluorescence imaging through CODEX allows the simultaneous imaging of many biomarkers in a single tissue section. While the digital fluorescence data thus obtained can provide highly specific characterizations of individual cells and microenvironments, the images obtained are different from those usually interpreted by pathologists (i.e., hematoxylin and eosin [H&E] slides and 3,3’-diaminobenzidine-stained immunohistochemistry slides). Having the fluorescence data plus coregistered H&E or similar data could facilitate the adoption of multiparametric imaging into regular workflows, as well as facilitate the transfer of algorithms and machine learning previously developed around H&E slides. Since commercial CODEX instruments do not produce H&E-like images by themselves, we developed a staining protocol and associated image processing to make “virtual H&E” images that can be incorporated into the CODEX workflow. While there are many ways to achieve virtual H&E images, including the use of a fluorescent nuclear stain and tissue autofluorescence to simulate eosin staining, we opted to combine fluorescent nuclear staining (through 4’,6-diamidino-2-phenylindole) with actual eosin staining. We also output images derived from fluorescent nuclear staining and autofluorescence images for additional evaluation.
doi_str_mv 10.4103/jpi.jpi_114_20
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8721868</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2153353922001742</els_id><sourcerecordid>2622486449</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3540-9be7cd549add90cd8f3f1ed595ceb153baf6a22d352a9a745dac47ec65f969823</originalsourceid><addsrcrecordid>eNp1kU1v1DAQhi1ERavSK0eUI5fd-jOJL0goLG2lSkVqi7hZs_ZkcRXHi51U7b_Hy5ZSDliyPGM_847tl5B3jC4lo-L0buuXZRrGpOH0FTniTImFUEK_fhEfkpOc72gZQjBG2zfkUCjaUNmyIwJdQpj8uKm--TTNMFTnGGCKD4-DHysYXbWKuUQXATaYqznv0GsI26FkvzddFQtYdTEETNYXhe7q8-p79XWAqY8pvCUHPQwZT57WY3L7ZXXTnS8ur84uuk-XCyuUpAu9xsY6JTU4p6l1bS96hk5pZXFdnrKGvgbOnVAcNDRSObCyQVurXte65eKYfNzrbud1QGdxnBIMZpt8gPRoInjz78nof5hNvDdtw1lbt0Xgw5NAij9nzJMJPlscBhgxztnwmnPZ1lLqgi73qE0x54T9cxtGzc4as7PlrzWl4P3Lyz3jf4woQLsHsHzRvcdksvU4WnQ-oZ2Mi_5_2r8AeESgxg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2622486449</pqid></control><display><type>article</type><title>Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><creator>Simonson, Paul D. ; Ren, Xiaobing ; Fromm, Jonathan R.</creator><creatorcontrib>Simonson, Paul D. ; Ren, Xiaobing ; Fromm, Jonathan R.</creatorcontrib><description><![CDATA[Multiparametric fluorescence imaging through CODEX allows the simultaneous imaging of many biomarkers in a single tissue section. While the digital fluorescence data thus obtained can provide highly specific characterizations of individual cells and microenvironments, the images obtained are different from those usually interpreted by pathologists (i.e., hematoxylin and eosin [H&E] slides and 3,3’-diaminobenzidine-stained immunohistochemistry slides). Having the fluorescence data plus coregistered H&E or similar data could facilitate the adoption of multiparametric imaging into regular workflows, as well as facilitate the transfer of algorithms and machine learning previously developed around H&E slides. Since commercial CODEX instruments do not produce H&E-like images by themselves, we developed a staining protocol and associated image processing to make “virtual H&E” images that can be incorporated into the CODEX workflow. While there are many ways to achieve virtual H&E images, including the use of a fluorescent nuclear stain and tissue autofluorescence to simulate eosin staining, we opted to combine fluorescent nuclear staining (through 4’,6-diamidino-2-phenylindole) with actual eosin staining. We also output images derived from fluorescent nuclear staining and autofluorescence images for additional evaluation.]]></description><identifier>ISSN: 2153-3539</identifier><identifier>ISSN: 2229-5089</identifier><identifier>EISSN: 2153-3539</identifier><identifier>DOI: 10.4103/jpi.jpi_114_20</identifier><identifier>PMID: 35070481</identifier><language>eng</language><publisher>India: Elsevier Inc</publisher><subject>CODEX,4’,6-diamidino-2-phenylindole ; digital imaging ; eosin ; fluorescence ; multicolor imaging ; multiparametric imaging ; Original ; virtual hematoxylin and eosin staining</subject><ispartof>Journal of pathology informatics, 2021-01, Vol.12 (1), p.52-52, Article 52</ispartof><rights>2021 The Authors</rights><rights>Copyright: © 2021 Journal of Pathology Informatics.</rights><rights>Copyright: © 2021 Journal of Pathology Informatics 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3540-9be7cd549add90cd8f3f1ed595ceb153baf6a22d352a9a745dac47ec65f969823</citedby><cites>FETCH-LOGICAL-c3540-9be7cd549add90cd8f3f1ed595ceb153baf6a22d352a9a745dac47ec65f969823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721868/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721868/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,27929,27930,53796,53798</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35070481$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Simonson, Paul D.</creatorcontrib><creatorcontrib>Ren, Xiaobing</creatorcontrib><creatorcontrib>Fromm, Jonathan R.</creatorcontrib><title>Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform</title><title>Journal of pathology informatics</title><addtitle>J Pathol Inform</addtitle><description><![CDATA[Multiparametric fluorescence imaging through CODEX allows the simultaneous imaging of many biomarkers in a single tissue section. While the digital fluorescence data thus obtained can provide highly specific characterizations of individual cells and microenvironments, the images obtained are different from those usually interpreted by pathologists (i.e., hematoxylin and eosin [H&E] slides and 3,3’-diaminobenzidine-stained immunohistochemistry slides). Having the fluorescence data plus coregistered H&E or similar data could facilitate the adoption of multiparametric imaging into regular workflows, as well as facilitate the transfer of algorithms and machine learning previously developed around H&E slides. Since commercial CODEX instruments do not produce H&E-like images by themselves, we developed a staining protocol and associated image processing to make “virtual H&E” images that can be incorporated into the CODEX workflow. While there are many ways to achieve virtual H&E images, including the use of a fluorescent nuclear stain and tissue autofluorescence to simulate eosin staining, we opted to combine fluorescent nuclear staining (through 4’,6-diamidino-2-phenylindole) with actual eosin staining. We also output images derived from fluorescent nuclear staining and autofluorescence images for additional evaluation.]]></description><subject>CODEX,4’,6-diamidino-2-phenylindole</subject><subject>digital imaging</subject><subject>eosin</subject><subject>fluorescence</subject><subject>multicolor imaging</subject><subject>multiparametric imaging</subject><subject>Original</subject><subject>virtual hematoxylin and eosin staining</subject><issn>2153-3539</issn><issn>2229-5089</issn><issn>2153-3539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kU1v1DAQhi1ERavSK0eUI5fd-jOJL0goLG2lSkVqi7hZs_ZkcRXHi51U7b_Hy5ZSDliyPGM_847tl5B3jC4lo-L0buuXZRrGpOH0FTniTImFUEK_fhEfkpOc72gZQjBG2zfkUCjaUNmyIwJdQpj8uKm--TTNMFTnGGCKD4-DHysYXbWKuUQXATaYqznv0GsI26FkvzddFQtYdTEETNYXhe7q8-p79XWAqY8pvCUHPQwZT57WY3L7ZXXTnS8ur84uuk-XCyuUpAu9xsY6JTU4p6l1bS96hk5pZXFdnrKGvgbOnVAcNDRSObCyQVurXte65eKYfNzrbud1QGdxnBIMZpt8gPRoInjz78nof5hNvDdtw1lbt0Xgw5NAij9nzJMJPlscBhgxztnwmnPZ1lLqgi73qE0x54T9cxtGzc4as7PlrzWl4P3Lyz3jf4woQLsHsHzRvcdksvU4WnQ-oZ2Mi_5_2r8AeESgxg</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Simonson, Paul D.</creator><creator>Ren, Xiaobing</creator><creator>Fromm, Jonathan R.</creator><general>Elsevier Inc</general><general>Wolters Kluwer - Medknow</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210101</creationdate><title>Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform</title><author>Simonson, Paul D. ; Ren, Xiaobing ; Fromm, Jonathan R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3540-9be7cd549add90cd8f3f1ed595ceb153baf6a22d352a9a745dac47ec65f969823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>CODEX,4’,6-diamidino-2-phenylindole</topic><topic>digital imaging</topic><topic>eosin</topic><topic>fluorescence</topic><topic>multicolor imaging</topic><topic>multiparametric imaging</topic><topic>Original</topic><topic>virtual hematoxylin and eosin staining</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Simonson, Paul D.</creatorcontrib><creatorcontrib>Ren, Xiaobing</creatorcontrib><creatorcontrib>Fromm, Jonathan R.</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of pathology informatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Simonson, Paul D.</au><au>Ren, Xiaobing</au><au>Fromm, Jonathan R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform</atitle><jtitle>Journal of pathology informatics</jtitle><addtitle>J Pathol Inform</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>12</volume><issue>1</issue><spage>52</spage><epage>52</epage><pages>52-52</pages><artnum>52</artnum><issn>2153-3539</issn><issn>2229-5089</issn><eissn>2153-3539</eissn><abstract><![CDATA[Multiparametric fluorescence imaging through CODEX allows the simultaneous imaging of many biomarkers in a single tissue section. While the digital fluorescence data thus obtained can provide highly specific characterizations of individual cells and microenvironments, the images obtained are different from those usually interpreted by pathologists (i.e., hematoxylin and eosin [H&E] slides and 3,3’-diaminobenzidine-stained immunohistochemistry slides). Having the fluorescence data plus coregistered H&E or similar data could facilitate the adoption of multiparametric imaging into regular workflows, as well as facilitate the transfer of algorithms and machine learning previously developed around H&E slides. Since commercial CODEX instruments do not produce H&E-like images by themselves, we developed a staining protocol and associated image processing to make “virtual H&E” images that can be incorporated into the CODEX workflow. While there are many ways to achieve virtual H&E images, including the use of a fluorescent nuclear stain and tissue autofluorescence to simulate eosin staining, we opted to combine fluorescent nuclear staining (through 4’,6-diamidino-2-phenylindole) with actual eosin staining. We also output images derived from fluorescent nuclear staining and autofluorescence images for additional evaluation.]]></abstract><cop>India</cop><pub>Elsevier Inc</pub><pmid>35070481</pmid><doi>10.4103/jpi.jpi_114_20</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2153-3539
ispartof Journal of pathology informatics, 2021-01, Vol.12 (1), p.52-52, Article 52
issn 2153-3539
2229-5089
2153-3539
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8721868
source DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection
subjects CODEX,4’,6-diamidino-2-phenylindole
digital imaging
eosin
fluorescence
multicolor imaging
multiparametric imaging
Original
virtual hematoxylin and eosin staining
title Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-12T20%3A51%3A21IST&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=Creating%20Virtual%20Hematoxylin%20and%20Eosin%20Images%20using%20Samples%20Imaged%20on%20a%20Commercial%20CODEX%20Platform&rft.jtitle=Journal%20of%20pathology%20informatics&rft.au=Simonson,%20Paul%20D.&rft.date=2021-01-01&rft.volume=12&rft.issue=1&rft.spage=52&rft.epage=52&rft.pages=52-52&rft.artnum=52&rft.issn=2153-3539&rft.eissn=2153-3539&rft_id=info:doi/10.4103/jpi.jpi_114_20&rft_dat=%3Cproquest_pubme%3E2622486449%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=2622486449&rft_id=info:pmid/35070481&rft_els_id=S2153353922001742&rfr_iscdi=true