TomoBank¶
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. http://www.doi.org/10.1088/1361-6501/aa9c19
From 2016 to 2021, TomoBank relied on Petrel [B1], a resource of the Argonne Leadership Computing Facility, which is a U.S. Department of Energy (DOE) Office of Science User Facility located at Argonne National Laboratory and supported under Contract DE-AC02-06CH11357.
From 2022 TomoBank relies on Eagle, a resource of the Argonne Leadership Computing Facility, which is a U.S. Department of Energy (DOE) Office of Science User Facility located at Argonne National Laboratory and supported under Contract DE-AC02-06CH11357.
Features¶
Tomographic datasets and phantom repository available via Globus
Python scripts to read and reconstruct all data sets
Example:
$ tomopy recon --file-name tomo_0001.h5 --rotation-axis 1024.0
Contribute¶
Documentation: https://github.com/tomography/tomobank/tree/master/
Issue Tracker: https://github.com/tomography/tomobank/issues