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Quantitative image analysis of immunohistochemical stains using a CMYK color model
BACKGROUND: Computer image analysis techniques have decreased effects of observer biases, and increased the sensitivity and the throughput of immunohistochemistry (IHC) as a tissue-based procedure for the evaluation of diseases. METHODS: We adapted a Cyan/Magenta/Yellow/Key (CMYK) model for automate...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1810239/ https://www.ncbi.nlm.nih.gov/pubmed/17326824 http://dx.doi.org/10.1186/1746-1596-2-8 |
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author | Pham, Nhu-An Morrison, Andrew Schwock, Joerg Aviel-Ronen, Sarit Iakovlev, Vladimir Tsao, Ming-Sound Ho, James Hedley, David W |
author_facet | Pham, Nhu-An Morrison, Andrew Schwock, Joerg Aviel-Ronen, Sarit Iakovlev, Vladimir Tsao, Ming-Sound Ho, James Hedley, David W |
author_sort | Pham, Nhu-An |
collection | PubMed |
description | BACKGROUND: Computer image analysis techniques have decreased effects of observer biases, and increased the sensitivity and the throughput of immunohistochemistry (IHC) as a tissue-based procedure for the evaluation of diseases. METHODS: We adapted a Cyan/Magenta/Yellow/Key (CMYK) model for automated computer image analysis to quantify IHC stains in hematoxylin counterstained histological sections. RESULTS: The spectral characteristics of the chromogens AEC, DAB and NovaRed as well as the counterstain hematoxylin were first determined using CMYK, Red/Green/Blue (RGB), normalized RGB and Hue/Saturation/Lightness (HSL) color models. The contrast of chromogen intensities on a 0–255 scale (24-bit image file) as well as compared to the hematoxylin counterstain was greatest using the Yellow channel of a CMYK color model, suggesting an improved sensitivity for IHC evaluation compared to other color models. An increase in activated STAT3 levels due to growth factor stimulation, quantified using the Yellow channel image analysis was associated with an increase detected by Western blotting. Two clinical image data sets were used to compare the Yellow channel automated method with observer-dependent methods. First, a quantification of DAB-labeled carbonic anhydrase IX hypoxia marker in 414 sections obtained from 138 biopsies of cervical carcinoma showed strong association between Yellow channel and positive color selection results. Second, a linear relationship was also demonstrated between Yellow intensity and visual scoring for NovaRed-labeled epidermal growth factor receptor in 256 non-small cell lung cancer biopsies. CONCLUSION: The Yellow channel image analysis method based on a CMYK color model is independent of observer biases for threshold and positive color selection, applicable to different chromogens, tolerant of hematoxylin, sensitive to small changes in IHC intensity and is applicable to simple automation procedures. These characteristics are advantageous for both basic as well as clinical research in an unbiased, reproducible and high throughput evaluation of IHC intensity. |
format | Text |
id | pubmed-1810239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18102392007-03-06 Quantitative image analysis of immunohistochemical stains using a CMYK color model Pham, Nhu-An Morrison, Andrew Schwock, Joerg Aviel-Ronen, Sarit Iakovlev, Vladimir Tsao, Ming-Sound Ho, James Hedley, David W Diagn Pathol Methodology BACKGROUND: Computer image analysis techniques have decreased effects of observer biases, and increased the sensitivity and the throughput of immunohistochemistry (IHC) as a tissue-based procedure for the evaluation of diseases. METHODS: We adapted a Cyan/Magenta/Yellow/Key (CMYK) model for automated computer image analysis to quantify IHC stains in hematoxylin counterstained histological sections. RESULTS: The spectral characteristics of the chromogens AEC, DAB and NovaRed as well as the counterstain hematoxylin were first determined using CMYK, Red/Green/Blue (RGB), normalized RGB and Hue/Saturation/Lightness (HSL) color models. The contrast of chromogen intensities on a 0–255 scale (24-bit image file) as well as compared to the hematoxylin counterstain was greatest using the Yellow channel of a CMYK color model, suggesting an improved sensitivity for IHC evaluation compared to other color models. An increase in activated STAT3 levels due to growth factor stimulation, quantified using the Yellow channel image analysis was associated with an increase detected by Western blotting. Two clinical image data sets were used to compare the Yellow channel automated method with observer-dependent methods. First, a quantification of DAB-labeled carbonic anhydrase IX hypoxia marker in 414 sections obtained from 138 biopsies of cervical carcinoma showed strong association between Yellow channel and positive color selection results. Second, a linear relationship was also demonstrated between Yellow intensity and visual scoring for NovaRed-labeled epidermal growth factor receptor in 256 non-small cell lung cancer biopsies. CONCLUSION: The Yellow channel image analysis method based on a CMYK color model is independent of observer biases for threshold and positive color selection, applicable to different chromogens, tolerant of hematoxylin, sensitive to small changes in IHC intensity and is applicable to simple automation procedures. These characteristics are advantageous for both basic as well as clinical research in an unbiased, reproducible and high throughput evaluation of IHC intensity. BioMed Central 2007-02-27 /pmc/articles/PMC1810239/ /pubmed/17326824 http://dx.doi.org/10.1186/1746-1596-2-8 Text en Copyright © 2007 Pham et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Pham, Nhu-An Morrison, Andrew Schwock, Joerg Aviel-Ronen, Sarit Iakovlev, Vladimir Tsao, Ming-Sound Ho, James Hedley, David W Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title | Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title_full | Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title_fullStr | Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title_full_unstemmed | Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title_short | Quantitative image analysis of immunohistochemical stains using a CMYK color model |
title_sort | quantitative image analysis of immunohistochemical stains using a cmyk color model |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1810239/ https://www.ncbi.nlm.nih.gov/pubmed/17326824 http://dx.doi.org/10.1186/1746-1596-2-8 |
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