Preclinical imaging is becoming increasingly important to cancer research and other disease research, with the development and adoption of Patient-Derived Xenographs (PDXs) and Genetically Engineered Mouse Models (GEMMs) into research workflows. With this importance comes a renewed emphasis on reproducible research.
However, reproducibility is difficult to achieve with the proliferation of imaging platforms, differences in imaging formats and protocols, differences in animal models, and variability in analytic pipelines. At the core of this problem of reproducibility is the lack of a common computing platform built on standards and best practices.
Enter the Preclinical Imaging XNAT-enabled Informatics (PIXI) platform. PIXI is based on XNAT, the most widely-adopted open-source imaging research software platform in the world.
PIXI is supported by a grant from the National Institutes of Health (NIH/NCI 5U24CA253531). Read the grant award.
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Support for PIXI was provided by NIH grants (as described in Grant Support), and the facilities at the Mallinckrodt Institute of Radiology at Washington University School of Medicine in Saint Louis. PIXI uses XNAT technology.
