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- Title
Automated image-based phenotypic analysis in zebrafish embryos.
- Authors
Vogt, Andreas; Cholewinski, Andrzej; Shen, Xiaoqiang; Nelson, Scott G.; Lazo, John S.; Tsang, Michael; Hukriede, Neil A.
- 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. © 2009 Wiley-Liss, Inc.
- Publication
Developmental Dynamics, 2009, Vol 238, Issue 3, p656
- ISSN
1058-8388
- Publication type
Article
- DOI
10.1002/dvdy.21892