Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

Automated analysis of fish and immunohistochemistry images: A review

Zervakis Michalis, Pitas, Ioannis, Zenonas Theodosiou, Kleoniki Lyroudia

Simple record


URIhttp://purl.tuc.gr/dl/dias/6B3B0DD1-6594-4743-B155-4FE9EE826E56-
Identifierhttps://doi.org/10.1002/cyto.a.20409-
Languageen-
Extent12 pagesen
TitleAutomated analysis of fish and immunohistochemistry images: A reviewen
CreatorZervakis Michalisen
CreatorΖερβακης Μιχαληςel
CreatorPitas, Ioannisen
CreatorZenonas Theodosiouen
CreatorKleoniki Lyroudiaen
PublisherInternational Society for Analytical Cytologyen
Content SummaryFluorescent 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 practiceen
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-23-
Date of Publication2007-
Bibliographic CitationZ. 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.20409en

Services

Statistics