Document Detail


A public-domain image processing tool for automated quantification of fluorescence in situ hybridisation signals.
MedLine Citation:
PMID:  17693574     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
AIMS: To develop and evaluate an automated method for quantification of HER2 fluorescence in situ hybridisation (FISH) signals. METHODS: Using a popular, open source image manipulation tool, ImageJ, a macro for FISH signal assessment was created. A comparison against traditional manual counting was performed in breast cancer specimens from 42 patients. The tumour specimens were hybridised with probes for HER2 and chromosome 17 centromere (CEP17) and selected areas were digitised for image processing. Hybridisation signals were calculated both manually and automatically with the ImageJ custom macro. RESULTS: The correlation coefficient between the automatic and manual HER2/CEP17 ratios was 0.98. The corresponding percentage agreement was 90% and the kappa value was 0.82. CONCLUSIONS: This study shows that it is possible to automate the determination of HER2 amplification by the use of open-source software, with results comparable to manual counting. The automated counting decreases the time needed for sample analysis and provides possibilities to enhance inter- and intralaboratory reproducibility of results. The FISH quantification tool (FishJ) is available for download as an ImageJ macro or alternatively it can be utilised through a web interface with an option of uploading FISH images for hybridisation signal counting. Combined with digitisation of FISH samples, the FishJ macro enables gene copy number to be assessed and re-evaluated on any area of a digitised specimen.
Authors:
J Konsti; J Lundin; M Jumppanen; M Lundin; A Viitanen; J Isola
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Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2007-08-10
Journal Detail:
Title:  Journal of clinical pathology     Volume:  61     ISSN:  1472-4146     ISO Abbreviation:  J. Clin. Pathol.     Publication Date:  2008 Mar 
Date Detail:
Created Date:  2008-02-28     Completed Date:  2008-03-24     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0376601     Medline TA:  J Clin Pathol     Country:  England    
Other Details:
Languages:  eng     Pagination:  278-82     Citation Subset:  AIM; IM    
Affiliation:
Biomedical Informatics Research Group, Department of Oncology, University of Helsinki, Helsinki, Finland. juho.konsti@helsinki.fi
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Area Under Curve
Automatic Data Processing*
Breast Neoplasms / genetics*
Carcinoma, Ductal, Breast / genetics*
Cell Count
Centromere / ultrastructure
Chromosome Aberrations
Chromosomes, Human, Pair 17
Female
Gene Amplification
Gene Expression Regulation, Neoplastic
Genes, erbB-2*
Humans
Image Processing, Computer-Assisted*
In Situ Hybridization, Fluorescence / methods*
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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