PUBLICATION
            Automated image-based phenotypic analysis in zebrafish embryos
- Authors
 - Vogt, A., Cholewinski, A., Shen, X., Nelson, S.G., Lazo, J.S., Tsang, M., and Hukriede, N.A.
 - ID
 - ZDB-PUB-090302-12
 - Date
 - 2009
 - Source
 - Developmental Dynamics : an official publication of the American Association of Anatomists 238(3): 656-663 (Journal)
 - Registered Authors
 - Hukriede, Neil
 - Keywords
 - cognition network technology, high-content screening, angiogenesis, pironetin, zebrafish
 - MeSH Terms
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- Angiogenesis Inhibitors/pharmacology
 - Image Processing, Computer-Assisted/methods*
 - Genes, Reporter/genetics
 - Phenotype
 - Animals
 - Zebrafish/embryology*
 - Zebrafish/genetics
 - Zebrafish/metabolism*
 - Embryo, Nonmammalian/blood supply
 - Embryo, Nonmammalian/drug effects
 - Embryo, Nonmammalian/embryology*
 - Embryo, Nonmammalian/metabolism*
 
 - PubMed
 - 19235725 Full text @ Dev. Dyn.
 
            Citation
        
        
            Vogt, A., Cholewinski, A., Shen, X., Nelson, S.G., Lazo, J.S., Tsang, M., and Hukriede, N.A. (2009) Automated image-based phenotypic analysis in zebrafish embryos. Developmental Dynamics : an official publication of the American Association of Anatomists. 238(3):656-663.
        
    
                
                    
                        Abstract
                    
                    
                
                
            
        
        
    
        
            
            
 
    
    
        
    
    
    
        
                Presently, the zebrafish is the only vertebrate model compatible with contemporary paradigms of drug discovery. Zebrafish embryos are amenable to automation necessary for high-throughput chemical screens, and optical transparency makes them potentially suited for image-based screening. However, the lack of tools for automated analysis of complex images presents an obstacle to using the zebrafish as a high-throughput screening model. We have developed an automated system for imaging and analyzing zebrafish embryos in multi-well plates regardless of embryo orientation and without user intervention. Images of fluorescent embryos were acquired on a high-content reader and analyzed using an artificial intelligence-based image analysis method termed Cognition Network Technology (CNT). CNT reliably detected transgenic fluorescent embryos (Tg(fli1:EGFP)(y1)) arrayed in 96-well plates and quantified intersegmental blood vessel development in embryos treated with small molecule inhibitors of anigiogenesis. The results demonstrate it is feasible to adapt image-based high-content screening methodology to measure complex whole organism phenotypes. Developmental Dynamics 238:656-663, 2009. (c) 2009 Wiley-Liss, Inc.
            
    
        
        
    
    
    
                
                    
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                        Expression
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Phenotype
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Mutations / Transgenics
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Human Disease / Model
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Sequence Targeting Reagents
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Fish
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Orthology
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Engineered Foreign Genes
                    
                    
                
                
            
        
        
    
        
            
            
        
        
    
    
    
                
                    
                        Mapping