The X-ray Tomography Data Bank or TomoBank, provides a repository of experimental and simulated data sets with the aim to foster collaboration among computational scientists, beamline scientists and experimentalists, to accelerate the development of tomographic reconstruction and 3D visualization methods and to speed up their implementation in the various synchrotron facility data analysis software packages.

If you use the tomoBank Toolbox for your research, we would appreciate it if you would refer to the following papers [A1]:

De Carlo, Francesco, et al. “TomoBank: a tomographic data repository for computational x-ray science.” Measurement Science and Technology 29.3 (2018): 034004.

TomoBank relies on Petrel [B1], a resource of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.


  • Tomographic datasets and phantom repository Globus

  • Python scripts to read and reconstruct all data sets (


python -h
    usage: [-h] [--axis [AXIS]] [--type [TYPE]] [--nsino [NSINO]]

    positional arguments:
            fname            file name of a tomographic dataset: /data/sample.h5

    optional arguments:
            -h, --help       show this help message and exit
            --axis [AXIS]    rotation axis location: 1024.0 (default 1024.0)
            --type [TYPE]    reconstruction type: full (default slice)
            --nsino [NSINO]  location of the sinogram used by slice reconstruction (0
                             top, 1 bottom): 0.5 (default 0.5)


python /tomobank/tomo_00001.h5 --axis 1024