Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/6878
Title: Automated analysis of fish and immunohistochemistry images: a review
Authors: Kasampalidis, Ioannis N.
Livanos, George
Theodosiou, Zenonas 
Keywords: Immunohistochemistry;Image processing;Fluorescence;DNA probes
Issue Date: 2007
Publisher: Wiley
Source: Cytometry Part A, 2007, Volume 71, Issue 7, Pages 439-450
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: http://ktisis.cut.ac.cy/handle/10488/6878
ISSN: 1552-4922 (print)
1552-4930 (online)
DOI: 10.1002/cyto.a.20409
Rights: © 2007 International Society for Analytical Cytology.
Type: Article
Appears in Collections:Άρθρα/Articles

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