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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721868/ https://www.ncbi.nlm.nih.gov/pubmed/35070481 http://dx.doi.org/10.4103/jpi.jpi_114_20 |
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author | Simonson, Paul D. Ren, Xiaobing Fromm, Jonathan R. |
author_facet | Simonson, Paul D. Ren, Xiaobing Fromm, Jonathan R. |
author_sort | Simonson, Paul D. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8721868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-87218682022-01-20 Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform Simonson, Paul D. Ren, Xiaobing Fromm, Jonathan R. J Pathol Inform Original Article 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. Wolters Kluwer - Medknow 2021-12-16 /pmc/articles/PMC8721868/ /pubmed/35070481 http://dx.doi.org/10.4103/jpi.jpi_114_20 Text en Copyright: © 2021 Journal of Pathology Informatics https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Simonson, Paul D. Ren, Xiaobing Fromm, Jonathan R. Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title | Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title_full | Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title_fullStr | Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title_full_unstemmed | Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title_short | Creating Virtual Hematoxylin and Eosin Images using Samples Imaged on a Commercial CODEX Platform |
title_sort | creating virtual hematoxylin and eosin images using samples imaged on a commercial codex platform |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8721868/ https://www.ncbi.nlm.nih.gov/pubmed/35070481 http://dx.doi.org/10.4103/jpi.jpi_114_20 |
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