Project duration: 01.07.2010 – 30.06.2015
Progress in recent years concerning X-ray optics, detector technology, and the tremendous increase of processing speed of commodity computational architectures gives rise to a paradigm shift in synchrotron X-ray imaging. UFO aims to enable a new type of smart experiment using the vast computational power of massively parallel computation units: On-line assessment of sample dynamics will enable active image-based control, allow an unprecedented image quality, and will provide insight into so far inaccessible scientific processes.
Key technologies developed in UFO are:
- By optimization of mechanics and X-ray optics time-resolved tomography – so called 4D Cine-Tomography – has been realized.
- Accelerated reconstruction with GPUs enables online reconstruction and image quality control; the data processing pipeline can be configured by high-level description in the UFO Parallel Processing Framework; continuous processing of data streams in the order of Gigabytes per second.
- By introduction of sample robots, fully automatization of the optical system and the integration of the reconstruction pipeline in the novel fast control system “Concert” sample throughput as high as 1000 tomograms per week of beamtime has been achieved.
- A versatile high-throughput FPGA-based detector readout system has been developed.
Key application from material and life sciences:
|Material science applications|
|Investigation of Taylor bubble shape||Stroboscopic tomography||Boden et al. 2014,
Exp Fluids 55:1768
|Investigation of the dynamics of the plasma bubble formed during pulsed laser ablation in liquids (PLAL)||Shortest exposure times, pump-probe imaging||Ibrahimkutty et al. 2015,
Sci Rep. 5:16313.
|Investigation of the hydration behavior of environmentally friendly cement (Celitement)||High-resolution time-lapse tomography||In preparation|
|Crack propagation in polymer sheets||High resolution time-lapse laminography||Chen et al. 2016,
Macromol. Chem. Phys. 217:701−715
|Life science application|
|Tomography of fossil weevils in amber||Fast and high-resolution tomography||Riedel et al. 2012,
Zool J Linnean Soc 165: 773-794.
|Development of in vivo cine-tomography as a method to study morphological dynamics in living organisms in 4D.||ultra-fast in vivo tomography; advanced image analysis using optical flow algorithms||dos Santos Rolo et al. 2014,
PNAS 111: 3921-3926.
|Creation of interactive reconstructions and 3D PDF animations to study the functional morphology of Trigonopterus weevils||Fast and high-resolution tomography; interactive 3D animations||van de Kamp et al. 2014,
PLoS ONE 9: e102355
|Tomography of fossil wasps in amber||Fast and high-resolution tomography, high sample throughput, automated reconstruction||Butcher et al. 2014,
Zootaxa 3860: 449-463;
van de Kamp et al. 2014,
Entomologie heute 26: 151-160.
|Investigation of teeth development during newt metamorphosis||Fast and high-throughput tomography, automated reconstruction||Greven et al. 2015,
Vertebrate Zoology 65: 81-99.
|Construction of a biomimetic research pavilion based on tomography of beetle forewings||Fast and high-resolution tomography; high sample-throughput, automated reconstruction||van de Kamp et al. 2015, Entomologie heute 27: 149-158.|
|Investigation of the thorax morphology of death-feigning weevils based on 3D reconstructions||Fast and high-resolution tomography||van de Kamp et al. 2015,
Arthropod Struct Dev 34: 509-523.
|Examination of phosphatized beetles from a largely neglected fossil collection||Fast tomography; high sample-throughput, automated reconstruction||Schwermann et al. 2016,
eLife 5: e12129.
- UFO2 – Ultra-fast X-ray Imaging of Scientific Processes with On-line Assessment and Data-driven Process Control - T. Baumbach, V. Altapova, D. Hänschke, T. dos Santos Rolo, A. Ershov, L. Helfen, T. van de Kamp, M. Weber, M. Caselle, M. Balzer, S. Chilingaryan, A. Kopmann, I. Dalinger, A. Myagotin, V. Asadchikov, A. Buzmakov, S. Tsapko, I. Tsapko, V. Vichugov, M. Sukhodoev, UFO collaboration, Final report, 2016.
- Real-time image-content-based beamline control for smart 4D X-ray imaging - Vogelgesang M. et al., in Journal of Synchrotron Radiation, 23 (2016) 1254-1263.
- An Open Source GPU Accelerated Framework for Flexible Algebraic Reconstruction at Synchrotron Light Sources - Shkarin A. et al., in Fundamenta Informaticae, 141 (2015) 259-274.
- GPU-optimized Direct Fourier Method for On-line Tomography - Shkarin R. et al., in Fundamenta Informaticae, 141 (2015) 245-258.
- An Extensible Parallel Computing Framework for Ultra-Fast X-Ray Imaging - M. Vogelgesang, PhD thesis, Faculty of Computer Science, Karlsruhe Institute of Technology, 2014
- Three-dimensional reconstructions come to life – Interactive 3D PDF animations in functional morphology - Van De Kamp T. et al., in PLoS ONE, 9 (2014), e102355.
- UFO – Ultra-fast X-ray Imaging of Scientific Processes with On-line Assessment and Data-driven Process Control - T. Baumbach, V. Altapova, D. Hänschke, T. dos Santos Rolo, A. Ershov, L. Helfen, T. van de Kamp, M. Weber, A. Kopmann, S. Chilingaryan, I. Dalinger, A. Myagotin, V. Asadchikov, A. Buzmakov, S. Tsapko, UFO collaboration, Final report, 2014.
- In vivo X-ray cine-tomography for tracking morphological dynamics - Rolo T.D.S. et al., in Proceedings of the National Academy of Sciences of the United States of America, 111 (2014) 3921-3926.
- UFO: A scalable GPU-based image processing framework for on-line monitoring - Vogelgesang M. et al., in Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012 (2012) 824-829, 6332254.
- Ultra-fast streaming camera platform for scientific applications - Caselle M. et al., in 2012 18th IEEE-NPSS Real Time Conference, RT 2012 (2012), 6418369.
- T Baumbach, V Altpova, D Hänschke
Laboratory for Applications of Synchrotron Radiation, KIT (LAS)
- T dos Santos Rolo, A Ershov, L Helfen
Institute for Photon Science and Synchrotron Radiation, KIT (IPS)
- M Weber, M Caselle
Institute of Experimental Nuclear Physics, KIT (IEKP)
- A Kopmann, M Balzer, S Chilingaryan
Institute for Data Processing and Electronics, KIT (IPE)
- I Dalinger, A Myagotin
Saint Petersburg State University of Civil Aviation (UCA)
- V Asadchikov, A. Buzmakov
Shubnikov Crystallography Institute (SCI)
- S Tsapko, I Tsapko, V Vichugov, M Sukhodoev
Tomsk Polytechnic University (TPU)
ContactKarlsruhe Institute of Technology
76344 Eggenstein-Leopoldshafen, Germany Matthias Balzer
P: +49 721 608-25696
F: +49 721 608-25594
The project has been funded within the “Joint Declaration on a Strategic Partnership in Education, Research and Innovation” between the Federal Republic of Germany and the Russian Federation.