Signal Amplification of FISH for Automated Detection Using Image Cytometry
Author(s) -
Khuong Truong,
Jack Boenders,
Zofia Maciorowski,
Philippe Vielh,
B. Dutrillaux,
Bernard Malfoy,
Claire A. Bourgeois
Publication year - 1996
Publication title -
analytical cellular pathology
Language(s) - English
Resource type - Journals
eISSN - 2210-7185
pISSN - 2210-7177
DOI - 10.1155/1997/297216
Subject(s) - spots , signal (programming language) , fish <actinopterygii> , computer science , artificial intelligence , spectrum analyzer , biotinylation , visual inspection , microscope , pattern recognition (psychology) , computer vision , biology , microbiology and biotechnology , optics , physics , fishery , programming language , telecommunications , botany
The purpose of this study was to improve the detection of FISH signals, in order that spot counting by a fully automated image cytometer be comparable to that obtained visually under the microscope. Two systems of spot scoring, visual and automated counting, were investigated in parallel on stimulated human lymphocytes with FISH using a biotinylated centromeric probe for chromosome 3. Signal characteristics were first analyzed on images recorded with a coupled charge device (CCD) camera. Number of spots per nucleus were scored visually on these recorded images versus automatically with a DISCOVERY image analyzer. Several fluochromes, amplification and pretreatments were tested. Our results for both visual and automated scoring show that the tyramide amplification system (TSA) gives the best amplification of signal if pepsin treatment is applied prior to FISH. Accuracy of the automated scoring, however, remained low (58% of nuclei containing two spots) compared to the visual scoring because of the high intranuclear variation between FISH spots.
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