caMicroscope and DataScope
caMicroscope and DataScope is one of the three Clinical and Translational Informatics Projects that were funded by NCI/NCIP. This project had two distinct, but integrated goals namely: a) caMicroscope — A digital pathology platform that supports visualization, annotation and analysis of digital pathology data; and b) DataScope — an interactive data integration, query and exploration system. In this talk I will be doing a deep dive into the capabilities of both these systems. caMicroscope provides the community with an open source solution that can visualize whole slide pathology images, create and display both human and machine generated annotations, and run analysis algorithms on the images. In this talk I will provide an overview of caMicroscope, summarize some of it’s deployments, and provide a roadmap for upcoming features. DataScope is part of the Integrative Query System and provides an interactive environment to integrate and explore disparate datasets. Providers can use DataScope to create rich exploration systems that end users can use to slice-dice the underlying datasets, in a highly declarative fashion, without any software development. The talk will touch upon some of its recent deployments and upcoming features.
Ashish Sharma is an Assistant Professor at Emory University Department of Biomedical Informatics. Dr. Sharma’s research interests include data management and integration systems with a specific emphasis on biomedical imaging (Rad, Path and RT), as well as leveraging distributed and cloud computing systems for co-located, large scale data processing. He has also done extensive work in the area of scientific visualization and graph mining. His research involves close collaboration with researchers in both Radiomics/Radiogenomics and Pathomics. He (jointly with Fred Prior) leads a resource grant for the Quantitative Imaging Network, as well as various NCI grants and contracts in the area of middleware systems for image data management, sharing, and analysis. Dr. Sharma received his Ph.D. in 2005 in Computer Science from the University of Southern California.