TomoPy
 | |
| Original author(s) | Doga Gursoy |
|---|---|
| Developer(s) | Community project |
| Written in | Python, C |
| Operating system | Linux, OS X |
| Type | Image processing |
| License | BSD-3 |
| Website |
tomopy |
TomoPy is an open-sourced Python toolbox to perform tomographic data processing and image reconstruction tasks at the Advanced Photon Source.[1]
Overview
Tomographic reconstruction creates three-dimensional views of an object by combining two-dimensional images taken from multiple directions, for example in how a computer-aided tomography scanner allows 3D views of the heart or brain. Data collection can be rapid, but the required computations are massive. Further, many common experimental perturbations can degrade the quality of tomographs, unless corrections are applied. Unless automated tools make these corrections, beamline staff can be overwhelmed by data that can be collected far faster than corrections and reconstruction can be performed.[2]
To address the needs for image correction and tomographic reconstruction in an instrument independent manner, the TomoPy code was developed, which is a parallelizable high performance reconstruction code. The code is in use or planned to be so at most U.S. synchrotron facilities.
References
- ↑ Gürsoy D, De Carlo F, Xiao X and Jacobsen C (2014). "TomoPy: A framework for the analysis of synchrotron tomographic data". Journal of Synchrotron Radiation 21 (5): 1188–1193. doi:10.1107/S1600577514013939.
- ↑ Toby HB, Gürsoy D, De Carlo F, Schwarz N, Sharma H, and Jacobsen C (2015). "Practices and standards for data and processing at the APS". Synchrotron Radiation News 28 (2): 15–21. doi:10.1080/08940886.2015.1013415.