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2012 IEEE 8th International Conference on E-Science (2012)
Chicago, IL, USA USA
Oct. 8, 2012 to Oct. 12, 2012
ISBN: 978-1-4673-4467-8
pp: 1-9
Kerstin Kleese van Dam , Pacific Northwest National Laboratory, Richland, USA
James Carson , Pacific Northwest National Laboratory, Richland, USA
Abigail Corrigan , Pacific Northwest National Laboratory, Richland, USA
Daniel Einstein , Pacific Northwest National Laboratory, Richland, USA
Zoe Guillen , Pacific Northwest National Laboratory, Richland, USA
Brandi Heath , Pacific Northwest National Laboratory, Richland, USA
Andrew Kuprat , Pacific Northwest National Laboratory, Richland, USA
Ingela Lanekoff , Pacific Northwest National Laboratory, Richland, USA
Carina Lansing , Pacific Northwest National Laboratory, Richland, USA
Julia Laskin , Pacific Northwest National Laboratory, Richland, USA
Dongsheng Li , Pacific Northwest National Laboratory, Richland, USA
Yan Liu , Pacific Northwest National Laboratory, Richland, USA
Matthew Marshall , Pacific Northwest National Laboratory, Richland, USA
Erin Miller , Pacific Northwest National Laboratory, Richland, USA
Galya Orr , Pacific Northwest National Laboratory, Richland, USA
Paulo Pinheiro da Silva , Pacific Northwest National Laboratory, Richland, USA
Seun Ryu , Pacific Northwest National Laboratory, Richland, USA
Craig Szymanski , Pacific Northwest National Laboratory, Richland, USA
Mathew Thomas , Pacific Northwest National Laboratory, Richland, USA
ABSTRACT
The Chemical Imaging Initiative at the Pacific Northwest National Laboratory (PNNL) is creating a ‘Rapid Experimental Analysis’ (REXAN) Framework, based on the concept of reusable component libraries. REXAN allows developers to quickly compose and customize high throughput analysis pipelines for a range of experiments, as well as supporting the creation of multi-modal analysis pipelines. In addition, PNNL has coupled REXAN with its collaborative data management and analysis environment Velo to create an easy to use data management and analysis environments for experimental facilities. This paper will discuss the benefits of Velo and REXAN in the context of three examples: • PNNL High Resolution Mass Spectrometry — reducing analysis times from hours to seconds, and enabling the analysis of much larger data samples (100KB to 40GB) at the same time. • ALS X-Ray Tomography — reducing analysis times of combined STXM and EM data collected at the ALS from weeks to minutes, decreasing manual work and increasing data volumes that can be analysed in a single step. • Multi-modal nano-scale analysis of STXM and TEM data — providing a semi automated process for particle detection. The creation of REXAN has significantly shortened the development time for these analysis pipelines. The integration of Velo and REXAN has significantly increased the scientific productivity of the instruments and their users by creating easy to use data management and analysis environments with greatly reduced analysis times and improved analysis capabilities.
INDEX TERMS
Imaging, Chemicals, Image coding, Image reconstruction, Libraries, Correlation, Data visualization, collaborative environment, Data management, high-throughput analysis, analysis framework
CITATION
Kerstin Kleese van Dam, James Carson, Abigail Corrigan, Daniel Einstein, Zoe Guillen, Brandi Heath, Andrew Kuprat, Ingela Lanekoff, Carina Lansing, Julia Laskin, Dongsheng Li, Yan Liu, Matthew Marshall, Erin Miller, Galya Orr, Paulo Pinheiro da Silva, Seun Ryu, Craig Szymanski, Mathew Thomas, "Velo and REXAN — Integrated data management and high speed analysis for experimental facilities", 2012 IEEE 8th International Conference on E-Science, vol. 00, no. , pp. 1-9, 2012, doi:10.1109/eScience.2012.6404463
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