Document Detail

Automated analysis of FISH and immunohistochemistry images: a review.
MedLine Citation:
PMID:  17559119     Owner:  NLM     Status:  MEDLINE    
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.
Zenonas Theodosiou; Ioannis N Kasampalidis; George Livanos; Michalis Zervakis; Ioannis Pitas; Kleoniki Lyroudia
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't; Review    
Journal Detail:
Title:  Cytometry. Part A : the journal of the International Society for Analytical Cytology     Volume:  71     ISSN:  1552-4922     ISO Abbreviation:  Cytometry A     Publication Date:  2007 Jul 
Date Detail:
Created Date:  2007-06-18     Completed Date:  2007-08-28     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101235694     Medline TA:  Cytometry A     Country:  United States    
Other Details:
Languages:  eng     Pagination:  439-50     Citation Subset:  IM    
Department of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.
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MeSH Terms
Image Processing, Computer-Assisted / methods*
In Situ Hybridization, Fluorescence*
Models, Theoretical

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

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