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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2001
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.
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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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