Xi-cam : a versatile interface for data visualization and analysis

Ronald J. Pandolfi, Daniel B. Allan, Elke Arenholz, Luis Barroso-Luque, Stuart I. Campbell, Thomas A. Caswell, Austin Blair, Francesco De Carlo, Sean Fackler, Amanda P. Fournier, Guillaume Freychet, Masafumi Fukuto, Dogˇa Gürsoy, Zhang Jiang, Harinarayan Krishnan, Dinesh Kumar, R. Joseph Kline, Ruipeng Li, Christopher Liman, Stefano Marchesini, Apurva Mehta, Alpha T. N'Diaye, Dilworth Y. Parkinson, Holden Parks, Lenson A. Pellouchoud, Talita Perciano, Fang Ren, Shreya Sahoo, Joseph Strzalka, Daniel Sunday, Christopher J. Tassone, Daniela Ushizima, Singanallur Venkatakrishnan, Kevin G. Yager, Peter Zwart, James A. Sethian, Alexander Hexemer

Source abstract

Xi-cam is an extensible platform for data management, analysis and visualization. Xi-cam aims to provide a flexible and extensible approach to synchrotron data treatment as a solution to rising demands for high-volume/high-throughput processing pipelines. The core of Xi-cam is an extensible plugin-based graphical user interface platform which provides users with an interactive interface to processing algorithms. Plugins are available for SAXS/WAXS/GISAXS/GIWAXS, tomography and NEXAFS data. With Xi-cam 's `advanced' mode, data processing steps are designed as a graph-based workflow, which can be executed live, locally or remotely. Remote execution utilizes high-performance computing or de-localized resources, allowing for the effective reduction of high-throughput data. Xi-cam 's plugin-based architecture targets cross-facility and cross-technique collaborative development, in support of multi-modal analysis. Xi-cam is open-source and cross-platform, and available for download on GitHub.