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

Ronald J PandolfiDaniel B AllanElke ArenholzLuis Barroso-LuqueStuart I CampbellThomas A CaswellAustin BlairFrancesco De CarloSean FacklerAmanda P FournierGuillaume FreychetMasafumi FukutoDogˇa GürsoyZhang JiangHarinarayan KrishnanDinesh KumarR Joseph KlineRuipeng LiChristopher LimanStefano MarchesiniApurva MehtaAlpha T N'DiayeDilworth Y ParkinsonHolden ParksLenson A PellouchoudTalita PercianoFang RenShreya SahooJoseph StrzalkaDaniel SundayChristopher J TassoneDaniela UshizimaSinganallur VenkatakrishnanKevin G YagerPeter ZwartJames A SethianAlexander Hexemer
Published in: Journal of synchrotron radiation (2018)
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.
Keyphrases
  • high throughput
  • electronic health record
  • big data
  • machine learning
  • artificial intelligence
  • convolutional neural network
  • smoking cessation