Preclinical Imaging XNAT-enabled Informatics

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Preclinical researchers use the PIXI platform to manage workflows, harmonize imaging databases, and enable deployment of analytic and computational pipelines in preclinical imaging.

What is PIXI?

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.

Diagram showing how a PIXI server interfaces with data collection, imaging research, computation, and a network of federated data stores

Grant Support

PIXI is supported by a grant from the National Institutes of Health (NIH/NCI 5U24CA253531). Read the grant award.

Contact Us

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