Any slides or other material generated as a result of this event can be found at: www.nesc.ac.uk/action/esi/contribution.cfm?Title=689
Speaker: Tony C. Pan (M.S.) from the Ohio State University Medical Centre, Department of Biomedical ImagingThe advent of digital microscopy provides novels ways of studying biological systems. Phenotypic effects of molecular modifications can now be examined en mass and quantified objectively. In the process, it also creates new algorithmic, data management, and computational challenges. This talk will describe three projects related to this area at The Ohio State University (OSU) Department of Biomedical Informatics (BMI). The Mouse Virtual Placenta Project aims to provide quantification and visualization of morphological changes due to manipulation of the retinoblastoma (Rb) gene in the mouse placenta. The project includes the development of analysis algorithm components and partially automated image processing pipeline.
The Mouse BIRN Confocal Image Analysis Project focuses on distributed image storage, retrieval, and processing of immunofluorescent confocal images of the mouse brain. Uniprocessor algorithms for protein expression quantification and atlas registration from the University of California at San Diego were transformed into DataCutter filters for execution on distributed datasets. Finally, the GridPACS project demonstrates generalized distributed image and workflow management capabilities. It allows distributed and federated storage and retrieval of images and metadata using Mobius Mako XML database, as well as construction and execution of DataCutter workflows. These and other on-going projects at OSU BMI represent some of our efforts in the area of large scale computing and image informatics.
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