Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
Northwestern Univ., Evanston, IL (United States). Dept. of Physics and Astronomy
Northwestern Univ., Evanston, IL (United States). Dept. of Electrical Engineering and Computer Science
Northwestern Univ., Evanston, IL (United States). Dept. of Materials Science and Engineering
Brookhaven National Lab. (BNL), Upton, NY (United States). National Synchrotron Light Source II (NSLS-II)
Argonne National Lab. (ANL), Argonne, IL (United States). Advanced Photon Source (APS); Northwestern Univ., Evanston, IL (United States). Dept. of Physics and Astronomy; Northwestern Univ., Evanston, IL (United States). Chemistry of Life Processes Inst.
As x-ray and electron tomography is pushed farther into the nanoscale, the limitations of rotation stages become more apparent leading to challenges in the alignment of the acquired projection images. Here we present an approach for rapid post-acquisition alignment of these projections to obtain high quality 3D images. Our approach is based on a joint estimation of alignment errors, and the object, using an iterative refinement procedure. We characterize convergence in simulations, and show its application in x-ray and electron nanotomography.
Gürsoy, Doğa, et al. "Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection." Scientific Reports, vol. 7, no. 1, Sep. 2017. https://doi.org/10.1038/s41598-017-12141-9
Gürsoy, Doğa, Hong, Young P., He, Kuan, et al., "Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection," Scientific Reports 7, no. 1 (2017), https://doi.org/10.1038/s41598-017-12141-9
@article{osti_1393872,
author = {Gürsoy, Doğa and Hong, Young P. and He, Kuan and Hujsak, Karl and Yoo, Seunghwan and Chen, Si and Li, Yue and Ge, Mingyuan and Miller, Lisa M. and Chu, Yong S. and others},
title = {Rapid alignment of nanotomography data using joint iterative reconstruction and reprojection},
annote = {As x-ray and electron tomography is pushed farther into the nanoscale, the limitations of rotation stages become more apparent leading to challenges in the alignment of the acquired projection images. Here we present an approach for rapid post-acquisition alignment of these projections to obtain high quality 3D images. Our approach is based on a joint estimation of alignment errors, and the object, using an iterative refinement procedure. We characterize convergence in simulations, and show its application in x-ray and electron nanotomography.},
doi = {10.1038/s41598-017-12141-9},
url = {https://www.osti.gov/biblio/1393872},
journal = {Scientific Reports},
issn = {ISSN 2045-2322},
number = {1},
volume = {7},
place = {United States},
publisher = {Nature Publishing Group},
year = {2017},
month = {09}}
Argonne National Laboratory (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC); Northwestern University; National Science Foundation (NSF); National Institutes of Health (NIH); Northwestern University, International Institute for Nanotechnology (IIN); W.M. Keck Foundation
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)https://doi.org/10.1109/isbi.2016.7493460