Preclinical researchers use the PIXI platform to manage workflows, harmonize imaging databases, and enable deployment of analytic and computational pipelines in preclinical imaging.
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 currently in development and will be released in phases. In June 2023, an alpha version of PIXI will be available for testing both online at PIXI.org and at the SNMMI Annual Meeting. A beta version of PIXI will be available for download in September 2023. The full release of PIXI is TBD 2023.
If you are interested in becoming an early adopter, please fill out the contact form below below.
PIXI is supported by a grant from the National Institutes of Health (NIH/NCI 5U24CA253531). Read the grant award.
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