Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1780
Title: Automated analysis of fish and immunohistochemistry images: a review
Authors: Kasampalidis, Ioannis N. 
Livanos, George 
Theodosiou, Zenonas 
Major Field of Science: Natural Sciences
Keywords: Immunohistochemistry;Image processing;Fluorescence;DNA probes
Issue Date: 8-Jun-2007
Source: Cytometry Part A, 2007, vol. 71, no. 7, pp. 439-450.
Volume: 71
Issue: 7
Start page: 439
End page: 450
Journal: Cytometry Part A 
Abstract: Fluorescent in-situ hybridization (FISH) and immunohistochemistry (IHC) constitute a pair of complimentary techniques for detecting gene amplification and overexpression, respectively. The advantages of IHC include relatively cheap materials and high sample durability, while FISH is the more accurate and reproducible method. Evaluation of FISH and IHC images is still largely performed manually, with automated or semiautomated techniques increasing in popularity. Here, we provide a comprehensive review of a number of (semi-) automated FISH and IHC image processing systems, focusing on the algorithmic aspects of each technique. Our review verifies the increasingly important role of such methods in FISH and IHC; however, manual intervention is still necessary in order to resolve particularly challenging or ambiguous cases. In addition, large-scale validation is required in order for these systems to enter standard clinical practice.
URI: https://hdl.handle.net/20.500.14279/1780
ISSN: 15524930
DOI: 10.1002/cyto.a.20409
Rights: © International Society for Analytical Cytology.
Type: Article
Affiliation: Aristotle University of Thessaloniki 
Affiliation : Aristotle University of Thessaloniki 
Technical University of Crete 
Appears in Collections:Άρθρα/Articles

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