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Updated: Apr 12, 2026

Author Spotlight: Multi-Layered Approach to Understand Postnatal Functions of Pancreatic Islets in Non-Human Primates
Published on: November 8, 2024
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive
Robert L Harrigan1, Benjamin C Yvernault1, Brian D Boyd2
1Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA.
Abstract:
The Vanderbilt University Institute for Imaging Science (VUIIS) Center for Computational Imaging (CCI) has developed a database built on XNAT housing over a quarter of a million scans. The database provides framework for (1) rapid prototyping, (2) large scale batch processing of images and (3) scalable project management. The system uses the web-based interfaces of XNAT and REDCap to allow for graphical interaction. A python middleware layer, the Distributed Automation for XNAT (DAX) package, distributes computation across the Vanderbilt Advanced Computing Center for Research and Education high performance computing center. All software are made available in open source for use in combining portable batch scripting (PBS) grids and XNAT servers.
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