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An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility
With immunohistochemical (IHC) staining increasingly being used to guide clinical decisions, variability in staining quality and reproducibility are becoming essential factors in generating diagnoses using IHC tissue preparations. The current study tested a method to track and quantify the interrun,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368846/ https://www.ncbi.nlm.nih.gov/pubmed/31082827 http://dx.doi.org/10.1097/PAI.0000000000000776 |
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author | Chlipala, Elizabeth A. Bendzinski, Christine M. Dorner, Charlie Sartan, Raili Copeland, Karen Pearce, Roger Doherty, Faye Bolon, Brad |
author_facet | Chlipala, Elizabeth A. Bendzinski, Christine M. Dorner, Charlie Sartan, Raili Copeland, Karen Pearce, Roger Doherty, Faye Bolon, Brad |
author_sort | Chlipala, Elizabeth A. |
collection | PubMed |
description | With immunohistochemical (IHC) staining increasingly being used to guide clinical decisions, variability in staining quality and reproducibility are becoming essential factors in generating diagnoses using IHC tissue preparations. The current study tested a method to track and quantify the interrun, intrarun, and intersite variability of IHC staining intensity. Our hypothesis was that staining precision between laboratory sites, staining runs, and individual slides may be verified quantitatively, efficiently and effectively utilizing algorithm-based, automated image analysis. To investigate this premise, we tested the consistency of IHC staining in 40 routinely processed (formalin-fixed, paraffin-embedded) human tissues using 10 common antibiomarker antibodies on 2 Dako Omnis instruments at 2 locations (Carpinteria, CA: 30 m above sea level and Longmont, CO: 1500 m above sea level) programmed with identical, default settings and sample pretreatments. Digital images of IHC-labeled sections produced by a whole slide scanner were analyzed by a simple commercially available algorithm and compared with a board-certified veterinary pathologist’s semiquantitative scoring of staining intensity. The image analysis output correlated well with pathology scores but had increased sensitivity for discriminating subtle variations and providing reproducible digital quantification across sites as well as within and among staining runs at the same site. Taken together, our data indicate that digital image analysis offers an objective and quantifiable means of verifying IHC staining parameters as a part of laboratory quality assurance systems. |
format | Online Article Text |
id | pubmed-7368846 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-73688462020-08-05 An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility Chlipala, Elizabeth A. Bendzinski, Christine M. Dorner, Charlie Sartan, Raili Copeland, Karen Pearce, Roger Doherty, Faye Bolon, Brad Appl Immunohistochem Mol Morphol Research Articles With immunohistochemical (IHC) staining increasingly being used to guide clinical decisions, variability in staining quality and reproducibility are becoming essential factors in generating diagnoses using IHC tissue preparations. The current study tested a method to track and quantify the interrun, intrarun, and intersite variability of IHC staining intensity. Our hypothesis was that staining precision between laboratory sites, staining runs, and individual slides may be verified quantitatively, efficiently and effectively utilizing algorithm-based, automated image analysis. To investigate this premise, we tested the consistency of IHC staining in 40 routinely processed (formalin-fixed, paraffin-embedded) human tissues using 10 common antibiomarker antibodies on 2 Dako Omnis instruments at 2 locations (Carpinteria, CA: 30 m above sea level and Longmont, CO: 1500 m above sea level) programmed with identical, default settings and sample pretreatments. Digital images of IHC-labeled sections produced by a whole slide scanner were analyzed by a simple commercially available algorithm and compared with a board-certified veterinary pathologist’s semiquantitative scoring of staining intensity. The image analysis output correlated well with pathology scores but had increased sensitivity for discriminating subtle variations and providing reproducible digital quantification across sites as well as within and among staining runs at the same site. Taken together, our data indicate that digital image analysis offers an objective and quantifiable means of verifying IHC staining parameters as a part of laboratory quality assurance systems. Lippincott Williams & Wilkins 2020-07 2019-05-06 /pmc/articles/PMC7368846/ /pubmed/31082827 http://dx.doi.org/10.1097/PAI.0000000000000776 Text en Copyright © 2019 The Author(s). Published by Wolters Kluwer Health, Inc. This is an open access article distributed under the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/) (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Research Articles Chlipala, Elizabeth A. Bendzinski, Christine M. Dorner, Charlie Sartan, Raili Copeland, Karen Pearce, Roger Doherty, Faye Bolon, Brad An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title | An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title_full | An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title_fullStr | An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title_full_unstemmed | An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title_short | An Image Analysis Solution For Quantification and Determination of Immunohistochemistry Staining Reproducibility |
title_sort | image analysis solution for quantification and determination of immunohistochemistry staining reproducibility |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7368846/ https://www.ncbi.nlm.nih.gov/pubmed/31082827 http://dx.doi.org/10.1097/PAI.0000000000000776 |
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