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The goal of this foundational sub-project is to create a digital pathology image server that can accept images from multiple domains and run integrative queries on that data. Using this server, researchers can select data can be selected from distinct different imaging sources and made accessible for data sets and use them in image algorithms. The first data sets that are being integrated on this image server, which is an extended version of caMicroscope, are TCGA and TCIA.

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Although TCGA and TCIA comprise a rich, multi-discipline data set, they are in an infrastructure that provides limited ability to query capabilitythe data. Researchers want to query both databases together to identify cases based on all available data types. Moreover, without common data standards, it's impossible to integrate these TCGA and TCIA data with data sets with those from the less complementary digital pathology and co-clinical/small animal model environments.

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