DocumentCode :
588190
Title :
Velo and REXAN — Integrated data management and high speed analysis for experimental facilities
Author :
van Dam, K.K. ; Carson, Joseph ; Corrigan, A. ; Einstein, D. ; Guillen, Z. ; Heath, Barbara ; Kuprat, A. ; Lanekoff, I. ; Lansing, C. ; Laskin, J. ; Dongsheng Li ; Yan Liu ; Marshall, Matthew ; Miller, Ellis ; Orr, G. ; da Silva, P.P. ; Ryu, Sang-Burm ; S
Author_Institution :
Pacific Northwest Nat. Lab., Richland, WA, USA
fYear :
2012
fDate :
8-12 Oct. 2012
Firstpage :
1
Lastpage :
9
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.
Keywords :
X-ray microscopy; computerised tomography; data analysis; database management systems; mass spectroscopy; physics computing; transmission electron microscopy; ALS X-ray tomography; EM data; PNNL high resolution mass spectrometry; Pacific Northwest National Laboratory; REXAN framework; STXM data; TEM data; Velo; analysis capability improvement; analysis time reduction; chemical imaging initiative; data analysis environment; high speed analysis; high throughput analysis pipelines; integrated data management; multimodal analysis pipelines; multimodal nano-scale analysis; particle detection; rapid experimental analysis; reusable component libraries; scientific productivity; semi automated process; Chemicals; Correlation; Data visualization; Image coding; Image reconstruction; Imaging; Libraries; Data management; analysis framework; collaborative environment; high-throughput analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Science (e-Science), 2012 IEEE 8th International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-4467-8
Type :
conf
DOI :
10.1109/eScience.2012.6404463
Filename :
6404463
Link To Document :
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