Spectral Imaging of Multi‐Color Chromogenic Dyes in Pathological Specimens
Author(s) -
Merryn Macville,
Jeroen van der Laak,
ErnstJan 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
Publication year - 2001
Publication title -
analytical cellular pathology
Language(s) - English
Resource type - Journals
eISSN - 2210-7185
pISSN - 2210-7177
DOI - 10.1155/2001/740909
Subject(s) - chromogenic , spectral imaging , imaging spectroscopy , bright field microscopy , pixel , microscopy , stain , materials science , pathology , staining , optics , artificial intelligence , computer science , medicine , physics , hyperspectral imaging
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.
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