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EN
Experimental stations in facilities like Synchrotrons and Free Electron Lasers produce very large data sets. With access to distributed computing paradigms and Grid infrastructures, the data are processed on-line. This requires considerable computing power and storage requirements. Moreover, the constant advances in sensors, detectors, and light source technologies yield frequent upgrades of the instrumentation and proportional increase of the computing requirements. Other than the computing needs, a key-point for successful experiments is the efficient collaboration between the involved scientists and their convenient access to the research facilities. A viable solution is developing suitable infrastructures that allow remote operation of the experimental facilities. We focus on the importance of the transparent integration of instruments in the traditional Grid. Such capability boosts further the concept of remote operation, on-line & off-line processing, and builds collaborative and distributed virtual research environments. Building on the foundations of previous European projects, the aim of DORII (Deployment of Remote Instrumentation Infrastructure) [1] is to develop and operate an infrastructure that addresses this issue and supports multiple activities of eScience. We will describe how we have applied the DORII infrastructure on remote operations and on-line & off-line processing in a synchrotron radiation facility.
EN
X-ray computed tomography (CT) experiments performed at synchrotron radiation facilities require adequate computing and storage resources due to the large amount of acquired and reconstructed data produced. To satisfy the heterogeneous needs of beamline users, flexible solutions are also required. Moreover, the growing demand of quantitative image analysis impose an easy integration between the CT reconstruction process and the subsequent feature extraction step. This paper presents some of the software solutions adopted by the SYRMEP beamline of the Italian synchrotron radiation facility Elettra. By using the enhanced version of the reconstruction software here presented as well as data reduction and data analysis tools, beamline users can easily implement an integrated and comprehensive approach to the digital image processing and image analysis required by a tomography-oriented scientific workflow.
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