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The NOVA project: maximizing beam time efficiency through synergistic analyses of SR$\mu$CT data

Schmelzle, Sebastian; Heethoff, Michael; Heuveline, Vincent; Lösel, Philipp; Becker, Jürgen; Beckmann, Felix; Schluenzen, Frank; Hammel, Jörg U.; Kopmann, Andreas; Mexner, Wolfgang; others

Abstract (englisch):
Beamtime and resulting SRμCT data are a valuable resource for researchers of a broad scientific community in life sciences. Most research groups, however, are only interested in a specific organ and use only a fraction of their data. The rest of the data usually remains untapped. By using a new collaborative approach, the NOVA project (Network for Online Visualization and synergistic Analysis of tomographic data) aims to demonstrate, that more efficient use of the valuable beam time is possible by coordinated research on different organ systems. The biological partners in the project cover different scientific aspects and thus serve as model community for the collaborative approach. As proof of principle, different aspects of insect head morphology will be investigated (e.g., biomechanics of the mouthparts, and neurobiology with the topology of sensory areas). This effort is accomplished by development of advanced analysis tools for the ever-increasing quantity of tomographic datasets. In the preceding project ASTOR, we already successfully demonstrated considerable progress in semi-automatic segmentation and classification of inter ... mehr


Zugehörige Institution(en) am KIT Institut für Technik der Informationsverarbeitung (ITIV)
Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Institut für Photonenforschung und Synchrotronstrahlung (IPS)
Publikationstyp Proceedingsbeitrag
Jahr 2017
Sprache Englisch
Identifikator KITopen ID: 1000078134
HGF-Programm 54.02.02; LK 01
Erschienen in Developments in X-Ray Tomography XI
Seiten 103910P
Serie 10391
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