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TOMCAT - X02DA: Tomographic Microscopy

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 scientific expertise for exploiting the distinctive peculiarities of synchrotron radiation for fast, nondestructive, high resolution, quantitative investigations on a large variety of samples. Absorption-based and phase contrast imaging are routinely performed with isotropic voxel sizes ranging from 0.16 to 6.5 μm (fields-of-view of 0.4 x 0.3 mm2 and 16.6 x 14.0 mm2, respectively) in an energy range of 8-45 keV. Phase contrast is obtained with simple edge-enhanced, propagation-based techniques [2,3] or through grating interferometry [4].

Typical acquisition times are on the order of seconds to a few minutes. However, dynamic processes can be followed in 4D (3D space + time) using the ultra-fast endstation, which provides sub-second temporal resolution [5]. A laser-based heating system [6] and a cryojet and cryo-chamber are available as standard installations and are compatible with both the standard and ultra-fast endstations. A sample exchanger and a package of automation tools [7] are accessible for performing high-throughput studies in a fully automatic manner. It is also possible to bring specialized, user-defined instrumentation to TOMCAT. Please contact beamline staff in advance to discuss this option.

3D tomographic datasets are reconstructed from 2D projections using highly optimized software [8-10] based on Fourier methods and a user-friendly interface (i.e., an ImageJ plug-in). A fully automated package for the quantitative analysis (segmentation, labeling, quantitative morphological characterization, tensor analysis) of cellular materials is available on a collaborative basis [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
- Ultra-fast tomographic microscopy
- Differential phase contrast (DPC) tomographic microscopy
- Absorption and phase contrast nanotomography
Available devices for in situ sample conditioning - Laser-based heating system
- Cryojet and cryo-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. 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).
  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. 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).
  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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