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+# Software X journal publication supporting files
-# SoftwareX publication [1] supporting files
-
-## Decription:
-The scripts here support publication in SoftwareX journal [1] to ensure reproducibility of the research. The scripts linked with data shared at Zenodo.
+## Description:
+The scripts support [publication](https://github.com/vais-ral/CCPi-Regularisation-Toolkit/blob/master/demos/SoftwareX_supp/paper/1-s2.0-S2352711018301912-main.pdf) in Software X journal [1] to ensure reproducibility of the research. The scripts linked with the data which is shared at [Zenodo](https://doi.org/10.5281/zenodo.2578893).
## Data:
Data is shared at Zenodo [here](https://doi.org/10.5281/zenodo.2578893)
@@ -19,7 +18,7 @@ Data is shared at Zenodo [here](https://doi.org/10.5281/zenodo.2578893)
- `Demo_RealData_Recon_SX.py` - runs real data reconstructions. Can be quite intense on memory so reduce the size of the reconstructed volume if needed.
### References:
-[1] "CCPi-Regularisation Toolkit for computed tomographic image reconstruction with proximal splitting algorithms" by Daniil Kazantsev, Edoardo Pasca, Martin J. Turner and Philip J. Withers; SoftwareX, 2019.
+[1] [Kazantsev, D., Pasca, E., Turner, M.J. and Withers, P.J., 2019. CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms. SoftwareX, 9, pp.317-323.](https://www.sciencedirect.com/science/article/pii/S2352711018301912)
### Acknowledgments:
CCPi-RGL software is a product of the [CCPi](https://www.ccpi.ac.uk/) group, STFC SCD software developers and Diamond Light Source (DLS). Any relevant questions/comments can be e-mailed to Daniil Kazantsev at dkazanc@hotmail.com