The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data

Sebastian Schmelzle; Michael Heethoff; Vincent Heuveline; Philipp Lösel; Jürgen Becker; Felix Beckmann; Frank Schluenzen; Jörg U. Hammel; Andreas Kopmann; Wolfgang Mexner; Matthias Vogelgesang; Nicholas Tan Jerome; Oliver Betz; Rolf Beutel; Benjamin Wipfler; Alexander Blanke; Steffen Harzsch; Marie Hörnig; Tilo Baumbach; Thomas van de Kamp

doi:10.1117/12.2275959

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26 September 2017 The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data

Sebastian Schmelzle, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas Tan Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach, Thomas van de Kamp

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Proceedings Volume 10391, Developments in X-Ray Tomography XI; 103910P (2017) https://doi.org/10.1117/12.2275959
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

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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Sebastian Schmelzle, Michael Heethoff, Vincent Heuveline, Philipp Lösel, Jürgen Becker, Felix Beckmann, Frank Schluenzen, Jörg U. Hammel, Andreas Kopmann, Wolfgang Mexner, Matthias Vogelgesang, Nicholas Tan Jerome, Oliver Betz, Rolf Beutel, Benjamin Wipfler, Alexander Blanke, Steffen Harzsch, Marie Hörnig, Tilo Baumbach, and Thomas van de Kamp "The NOVA project: maximizing beam time efficiency through synergistic analyses of SRμCT data", Proc. SPIE 10391, Developments in X-Ray Tomography XI, 103910P (26 September 2017); https://doi.org/10.1117/12.2275959

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KEYWORDS

Image segmentation

Visualization

Tomography

Head

3D modeling

Biological research

Synchrotron technology

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