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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Main Authors: Merryn V. E. Macville, Jeroen A. W. M. Van der Laak, Ernst J. M. Speel, Nir Katzir, Yuval Garini, Dirk Soenksen, George McNamara, Peter C. M. de Wilde, Antonius G. J. M. Hanselaar, Anton H.N. Hopman, Thomas Ried
Format: Article
Language:English
Published: Wiley 2001-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/2001/740909
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author Merryn V. E. Macville
Jeroen A. W. M. Van der Laak
Ernst J. M. Speel
Nir Katzir
Yuval Garini
Dirk Soenksen
George McNamara
Peter C. M. de Wilde
Antonius G. J. M. Hanselaar
Anton H.N. Hopman
Thomas Ried
author_facet Merryn V. E. Macville
Jeroen A. W. M. Van der Laak
Ernst J. M. Speel
Nir Katzir
Yuval Garini
Dirk Soenksen
George McNamara
Peter C. M. de Wilde
Antonius G. J. M. Hanselaar
Anton H.N. Hopman
Thomas Ried
author_sort Merryn V. E. Macville
collection DOAJ
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 doaj-art-633c5c0aaf804a53a969b100c37fc83e2025-02-03T01:23:27ZengWileyAnalytical Cellular Pathology0921-89121878-36512001-01-0122313314210.1155/2001/740909Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological SpecimensMerryn V. E. Macville0Jeroen A. W. M. Van der Laak1Ernst J. M. Speel2Nir Katzir3Yuval Garini4Dirk Soenksen5George McNamara6Peter C. M. de Wilde7Antonius G. J. M. Hanselaar8Anton H.N. Hopman9Thomas Ried10Department of Pathology, University Medical Center St Radboud, Nijmegen, The NetherlandsDepartment of Pathology, University Medical Center St Radboud, Nijmegen, The NetherlandsDepartment of Molecular Cell Biology, University of Maastricht, Maastricht, The NetherlandsApplied Spectral Imaging, Migdal Ha'Emek, IsraelApplied Spectral Imaging, Migdal Ha'Emek, IsraelAperio Technologies, Carlsbad, CA, USAChildren's Hospital Research Institute, Los Angeles, CA, USADepartment of Pathology, University Medical Center St Radboud, Nijmegen, The NetherlandsDepartment of Pathology, University Medical Center St Radboud, Nijmegen, The NetherlandsDepartment of Molecular Cell Biology, University of Maastricht, Maastricht, The NetherlandsDepartment of Genetics, Division of Clinical Sciences, National Cancer Institute/NIH, Bethesda, MD, USAWe 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.http://dx.doi.org/10.1155/2001/740909
spellingShingle Merryn V. E. Macville
Jeroen A. W. M. Van der Laak
Ernst J. M. Speel
Nir Katzir
Yuval Garini
Dirk Soenksen
George McNamara
Peter C. M. de Wilde
Antonius G. J. M. Hanselaar
Anton H.N. Hopman
Thomas Ried
Spectral Imaging of Multi-Color Chromogenic Dyes in Pathological Specimens
Analytical Cellular Pathology
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
url http://dx.doi.org/10.1155/2001/740909
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