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100 1 _ |a Schmelzle, Sebastian
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111 2 _ |a Developments in X-Ray Tomography XI
|c San Diego
|d 2017-08-06 - 2017-08-10
|w United States
245 _ _ |a The NOVA project: maximizing beam time efficiency through synergistic analyses of SR$\mu$CT data
260 _ _ |a Bellingham, Wash.
|c 2017
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295 1 0 |a Developments in X-Ray Tomography XI : [Proceedings] - SPIE, 2017. - ISBN 9781510612396 - doi:10.1117/12.2275121
300 _ _ |a 17
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520 _ _ |a 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 internal structures. Further improvement of these methods is essential for an efficient use of beam time and will be refined in the current NOVAproject. Significant enhancements are also planned at PETRA III beamline p05 to provide all possible contrast modalities in x-ray imaging optimized to biological samples, on the reconstruction algorithms, and the tools for subsequent analyses and management of the data. All improvements made on key technologies within this project will in the long-term be equally beneficial for all users of tomography instrumentations.
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700 1 _ |a Van De Kamp, Thomas
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700 1 _ |a Heethoff, Michael
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700 1 _ |a Heuveline, Vincent
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700 1 _ |a Lösel, Philipp
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700 1 _ |a Becker, Jürgen
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700 1 _ |a Beckmann, Felix
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700 1 _ |a Schluenzen, Frank
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700 1 _ |a Hammel, Jörg U.
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700 1 _ |a Kopmann, Andreas
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700 1 _ |a Mexner, Wolfgang
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700 1 _ |a Vogelgesang, Matthias
|b 11
700 1 _ |a Jerome, Nicholas T.
|b 12
700 1 _ |a Betz, Oliver
|b 13
700 1 _ |a Beutel, Rolf
|b 14
700 1 _ |a Wipfler, Benjamin
|b 15
700 1 _ |a Blanke, Alexander
|b 16
700 1 _ |a Harzsch, Steffen
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700 1 _ |a Hörnig, Marie
|b 18
700 1 _ |a Baumbach, Tilo
|b 19
700 1 _ |a Müller, Bert
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700 1 _ |a Wang, Ge
|b 21
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773 _ _ |a 10.1117/12.2275959
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