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Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens
We have investigated the use of spectral imaging for multi‐color analysis of permanent cytochemical dyes and enzyme precipitates on cytopathological specimens. Spectral imaging is based on Fourier‐transform spectroscopy and digital imaging. A pixel‐by‐pixel spectrum‐based color classification is pre...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2001
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617509/ https://www.ncbi.nlm.nih.gov/pubmed/11455032 http://dx.doi.org/10.1155/2001/740909 |
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author | Macville, Merryn V. E. Van der Laak, Jeroen A. W. M. Speel, Ernst J. M. Katzir, Nir Garini, Yuval Soenksen, Dirk McNamara, George de Wilde, Peter C. M. Hanselaar, Antonius G. J. M. Hopman, Anton H.N. Ried, Thomas |
author_facet | Macville, Merryn V. E. Van der Laak, Jeroen A. W. M. Speel, Ernst J. M. Katzir, Nir Garini, Yuval Soenksen, Dirk McNamara, George de Wilde, Peter C. M. Hanselaar, Antonius G. J. M. Hopman, Anton H.N. Ried, Thomas |
author_sort | Macville, Merryn V. E. |
collection | PubMed |
description | We have investigated the use of spectral imaging for multi‐color analysis of permanent cytochemical dyes and enzyme precipitates on cytopathological specimens. Spectral imaging is based on Fourier‐transform spectroscopy and digital imaging. A pixel‐by‐pixel spectrum‐based color classification is presented of single‐, double‐, and triple‐color in situ hybridization for centromeric probes in T24 bladder cancer cells, and immunocytochemical staining of nuclear antigens Ki‐67 and TP53 in paraffin‐embedded cervical brush material (AgarCyto). The results demonstrate that spectral imaging unambiguously identifies three chromogenic dyes in a single bright‐field microscopic specimen. Serial microscopic fields from the same specimen can be analyzed using a spectral reference library. We conclude that spectral imaging of multi‐color chromogenic dyes is a reliable and robust method for pixel color recognition and classification. Our data further indicate that the use of spectral imaging (a) may increase the number of parameters studied simultaneously in pathological diagnosis, (b) may provide quantitative data (such as positive labeling indices) more accurately, and (c) may solve segmentation problems currently faced in automated screening of cell‐ and tissue specimens. Figures on http://www.esacp.org/acp/2001/22‐3/macville.htm. |
format | Online Article Text |
id | pubmed-4617509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2001 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-46175092016-01-08 Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens Macville, Merryn V. E. Van der Laak, Jeroen A. W. M. Speel, Ernst J. M. Katzir, Nir Garini, Yuval Soenksen, Dirk McNamara, George de Wilde, Peter C. M. Hanselaar, Antonius G. J. M. Hopman, Anton H.N. Ried, Thomas Anal Cell Pathol Other We have investigated the use of spectral imaging for multi‐color analysis of permanent cytochemical dyes and enzyme precipitates on cytopathological specimens. Spectral imaging is based on Fourier‐transform spectroscopy and digital imaging. A pixel‐by‐pixel spectrum‐based color classification is presented of single‐, double‐, and triple‐color in situ hybridization for centromeric probes in T24 bladder cancer cells, and immunocytochemical staining of nuclear antigens Ki‐67 and TP53 in paraffin‐embedded cervical brush material (AgarCyto). The results demonstrate that spectral imaging unambiguously identifies three chromogenic dyes in a single bright‐field microscopic specimen. Serial microscopic fields from the same specimen can be analyzed using a spectral reference library. We conclude that spectral imaging of multi‐color chromogenic dyes is a reliable and robust method for pixel color recognition and classification. Our data further indicate that the use of spectral imaging (a) may increase the number of parameters studied simultaneously in pathological diagnosis, (b) may provide quantitative data (such as positive labeling indices) more accurately, and (c) may solve segmentation problems currently faced in automated screening of cell‐ and tissue specimens. Figures on http://www.esacp.org/acp/2001/22‐3/macville.htm. IOS Press 2001 2001-01-01 /pmc/articles/PMC4617509/ /pubmed/11455032 http://dx.doi.org/10.1155/2001/740909 Text en Copyright © 2001 Hindawi Publishing Corporation. |
spellingShingle | Other Macville, Merryn V. E. Van der Laak, Jeroen A. W. M. Speel, Ernst J. M. Katzir, Nir Garini, Yuval Soenksen, Dirk McNamara, George de Wilde, Peter C. M. Hanselaar, Antonius G. J. M. Hopman, Anton H.N. Ried, Thomas Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title | Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title_full | Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title_fullStr | Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title_full_unstemmed | Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title_short | Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens |
title_sort | spectral imaging of multi-color chromogenic dyes in pathological specimens |
topic | Other |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4617509/ https://www.ncbi.nlm.nih.gov/pubmed/11455032 http://dx.doi.org/10.1155/2001/740909 |
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