The ASTRA Toolbox

The ASTRA Toolbox is a MATLAB and Python toolbox of high-performance GPU primitives for 2D and 3D tomography.

We support 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning.

A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS.

The basic forward and backward projection operations are GPU-accelerated, and directly callable from MATLAB and Python to enable building new algorithms.

The source code of the ASTRA Toolbox is available on GitHub.

Latest News

  • In the latest development version of ASTRA (, we have made some consistency improvements to the grey value output ranges of the FP and BP operations. See the News section for more information.

  • For those visiting ICTMS 2019 in Australia, we will host an ASTRA workshop there on 22 July 2019.

  • Windows Matlab/Python packages of the current version of ASTRA git master are now available for download below. These require CUDA 9.0+.

  • We now have development Python packages available from ASTRA git master on conda. Quick installation instructions: conda install -c astra-toolbox/label/dev astra-toolbox .

  • 7 dec 2016: ASTRA v1.8 released


Main downloads of the latest development and official releases. We recommend the development release currently.


If you use the ASTRA Toolbox for your research, we would appreciate it if you would refer to the following papers:

  • W. van Aarle, W. J. Palenstijn, J. Cant, E. Janssens, F. Bleichrodt, A. Dabravolski, J. De Beenhouwer, K. J. Batenburg, and J. Sijbers, “Fast and Flexible X-ray Tomography Using the ASTRA Toolbox”, Optics Express, 24(22), 25129-25147, (2016),

  • W. van Aarle, W. J. Palenstijn, J. De Beenhouwer, T. Altantzis, S. Bals, K. J. Batenburg, and J. Sijbers, “The ASTRA Toolbox: A platform for advanced algorithm development in electron tomography”, Ultramicroscopy, 157, 35–47, (2015),

Additionally, if you use parallel beam GPU code, we would appreciate it if you would refer to the following paper:

  • W. J. Palenstijn, K. J. Batenburg, and J. Sijbers, “Performance improvements for iterative electron tomography reconstruction using graphics processing units (GPUs)”, Journal of Structural Biology, vol. 176, issue 2, pp. 250-253, 2011,


The ASTRA Toolbox is open source under the GPLv3 license.


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Copyright: 2010-2016, iMinds-Vision Lab, University of Antwerp and 2014-2016, CWI, Amsterdam

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