Alignment methods for nanotomography with deep sub-pixel accuracy

Artifical dataset that serves as an example for tomography alignment toolkit developed at cSAXS group, Paul Scherrer Institute for reconstruction and alignment of tomography and laminography datasets. Example of simulated data are loaded from 'example_data.mat' that contains two<br> variables:<br> stack_object - complex valued unaligned projection with following dimensions [Npix_vertical , Npix_horizontal, number_of_angles]<br> theta - vector of corresponding projection angles in degrees The other useful parameters are described and can be modified in the<br> following section. Requirements:<br> Reconstruction scripts were tested for Matlab2018a and CUDA 9.0. NVIDIA<br> GPU is required for the tomographic reconstruction.<br> Instalation and reconstruction:<br> 1) Our tomography toolkit depends on cSAXS base script package: https://www.psi.ch/en/sls/csaxs/software<br> 2) Unpack cSAXS_matlab_base into folder where this script is placed<br> 3) Make sure that our example dataset 'example_data.mat' can be loaded by matlab<br> 4) Run script called "run_simple_example.m", the final results will be stored in folder defined in par.output_folder This code and subroutines are part of a continuous development. There is no<br> liability on PSI or cSAXS. Publications most relevant to this code<br> M. Odstrcil, M. Holler, J. Holler, M. Guizar-Sicairos,<br> "Alignment methods for nanotomography with deep sub-pixel accuracy", Optics Express, 2019<br> M. Guizar-Sicairos, A. Diaz, M. Holler, M. S. Lucas, A. Menzel, R. A. Wepf, and O. Bunk<br> "Phase tomography from x-ray coherent diffractive imaging projections," Opt. Express 19, 21345-21357 (2011).<br> For tomographic consistency alignment:<br> M. Guizar-Sicairos, J. J. Boon, K. Mader, A. Diaz, A. Menzel, and O. Bunk,<br> "Quantitative interior x-ray nanotomography by a hybrid imaging technique," Optica 2, 259-266 (2015).