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In JoVE (1)
Other Publications (1)
Articles by Urban Liebel in JoVE
Facilitating Drug Discovery: An Automated High-content Inflammation Assay in Zebrafish
Christine Wittmann1, Markus Reischl2, Asmi H. Shah1, Ralf Mikut2, Urban Liebel1,2, Clemens Grabher1
1Institute for Toxicology and Genetics, Karlsruhe Institute of Technology, Karlsruhe, Germany, 2Institute for Applied Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
Here we describe a novel high-content chemically induced inflammation assay aiming at the identification of immune-modulatory bioactives. We have successfully combined automated microscopy with custom developed software scripts enabling automated quantification of the inflammatory response as well as further data processing, analysis, mining, and storage.
Other articles by Urban Liebel on PubMed
BioTechniques. May, 2011 | Pubmed ID: 21548893
The development of automated microscopy platforms has enabled large-scale observation of biological processes, thereby complementing genome scale biochemical techniques. However, commercially available systems are restricted either by fixed-field-of-views, leading to potential omission of features of interest, or by low-resolution data of whole objects lacking cellular detail. This limits the efficiency of high-content screening assays, especially when large complex objects are used as in whole-organism screening. Here we demonstrate a toolset for automated intelligent high-content screening of whole zebrafish embryos at cellular resolution on a standard wide-field screening microscope. Using custom-developed algorithms, predefined regions of interest-such as the brain-are automatically detected. The regions of interest are subsequently imaged automatically at high magnification, enabling rapid capture of cellular resolution data. We utilize this approach for acquiring 3-D datasets of embryonic brains of transgenic zebrafish. Moreover, we report the development of a mold design for accurate orientation of zebrafish embryos for dorsal imaging, thereby facilitating standardized imaging of internal organs and cellular structures. The toolset is flexible and can be readily applied for the imaging of different specimens in various applications.