Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/6B3B0DD1-6594-4743-B155-4FE9EE826E56 | ||
| Year | 2007 | ||
| Type of Item | Peer-Reviewed Journal Publication | ||
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| Bibliographic Citation | Z. Theodosiou, I.N. Kasampalidis, G. Livanos, M. Zervakis, I. Pitas, K. Lyroudia," Automated analysis of FISH and immunohistochemistry images: a review ,"Cytometry Part A,vol. 71,no.7 , pp. 439-450.2007.doi:10.1002/cyto.a.20409 https://doi.org/10.1002/cyto.a.20409 | ||
| Appears in Collections |
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
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