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TOMCAT - X02DA: Tomography

A beamline for TOmographic Microscopy and Coherent rAdiology experimenTs

The beamline for TOmographic Microscopy and Coherent rAdiology experimentTs (TOMCAT) [1] offers cutting-edge technology and know-how for best exploiting the distinctive peculiarities of synchrotron radiation for fast non-invasive, high resolution, quantitative, volumetric investigations on diverse samples. Absorption and phase contrast imaging with an isotropic voxel size ranging from 0.16 up to 14.8 microns (field of views from 0.42x0.35 mm2 up to 30x30 mm2, respectively) are routinely performed in an energy range of 8-45 keV. Phase contrast is obtained either with simple edge-enhancement, propagation based techniques [2,3] or grating interferometry [4].

Typical acquisition times are on the order of few minutes. A sample exchanger and a package of automation tools [5] are available for performing high throughput studies in a fully automatic manner.

Custom-specific devices for in-situ experiments can easily be installed on the sample stage. A cryo-chamber and a laser-heated furnace [6] are currently available for such experiments. New cutting-edge experiments are now possible thanks to the latest efforts towards improving temporal resolution. Dynamic processes can namely be followed in 3D for the first time thanks to the new ultrafast tomographic endstation offering sub-second temporal resolution [7]. 3D tomographic datasets are reconstructed from 2D projections using highly optimized software [8-10] based on Fourier methods and a user-friendly web interface. A fully automated package for the quantitative analysis (segmentation, labeling, quantitative morphological characterization, tensor analysis) of cellular materials is available on a collaborative base [11].

Technical Data

Energy range 8-45 keV
Highest 3D spatial resolution ca. 1 μm in parallel beam geometry
ca. 200 nm in full-field geometry
Max. temporal resolution 10 Hz
Available techniques - Absorption based tomographic microscopy
- Propagation based phase contrast tomographic microscopy
- Differential phase contrast (DPC) tomographic microscopy
- Absorption and phase contrast nano tomography
- Ultrafast tomographic microscopy
Available devices for in-situ sample conditioning - Laser-heated furnace
- Cryo-jet and -chamber
Photon source divergence (tailored by aperture) 2mrad, 0.6 mrad

  1. M. Stampanoni, A. Groso, A. Isenegger, G. Mikuljan, Q. Chen, A. Bertrand, S. Henein, R. Betemps, U. Frommherz, P. Bohler, D. Meister, M. Lange, and R. Abela, Trends in synchrotron-based tomographic imaging: the SLS experience, _Developments in X-Ray Tomography V, Proceedings of the Society of Photo-Optical Instrumentation Engineers (Spie)_, 6318, U199-U212 (2006).
  2. A. Groso, R. Abela, and M. Stampanoni, Implementation of a fast method for high resolution phase contrast tomography, Optics Express, 14, 8103-8110 (2006).
  3. D. Paganin, S. C. Mayo, T. E. Gureyev, P. R. Miller, and S. W. Wilkins, Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object, Journal of Microscopy, 206, 33-40 (2002).
  4. S. A. McDonald, F. Marone, C. Hintermüller, G. Mikuljan, C. David, F. Pfeiffer, and M. Stampanoni, Advanced phase-contrast imaging using a grating interferometer, J. Synchrotron Rad., 16, 562-572 (2009).
  5. K. Mader, F. Marone, C. Hintermuller, G. Mikuljan, A. Isenegger, and M. Stampanoni, High-throughput full-automatic synchrotron-based tomographic microscopy, J. Synchrotron Rad., 18, 117-124 (2011).
  6. J. L. Fife, M. Rappaz, M. Pistone, T. Celcer, G. Mikuljan, and M. Stampanoni, Development of a laser-based heating system for in-situ synchrotron-based x-ray tomographic microscopy, J. Synchrotron Rad., 19, 352 (2012).
  7. R. Mokso, F. Marone, D. Haberthur, J. C. Schittny, G. Mikuljan, A. Isenegger, and M. Stampanoni, Following Dynamic Processes by X-ray Tomographic Microscopy with Sub-second Temporal Resolution, 10th International Conference on X-Ray Microscopy, 1365, 38-41 (2011).
  8. C. Hintermuller, F. Marone, A. Isenegger, and M. Stampanoni, Image processing pipeline for synchrotron-radiation-based tomographic microscopy, J. Synchrotron Rad., 17, 550-559 (2010).
  9. F. Marone, B. Munch, and M. Stampanoni, Fast reconstruction algorithm dealing with tomography artifacts, Developments in X-Ray Tomography Vii, Proceedings of SPIE-The International Society for Optical Engineering, 7804 (2010).
  10. F. Marone, and M. Stampanoni, Regridding reconstruction algorithm for real time tomographic imaging, J. Synchrotron Rad., 19, 1029-1037 (2012).
  11. K. Mader, R. Mokso, C. Raufaste, B. Dollet, S. Santucci, J. Lambert, and M. Stampanoni, Quantitative 3D characterization of cellular materials: Segmentation and morphology of foam, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 415, 230-238 (2012).

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