Abstract
In protein nanocrystallography using x-ray lasers, diffraction is measured from an ensemble of very small crystals. The measured diffraction data can sometimes be processed to estimate the continuous Fourier transform intensity of the contents within the unit cell that makes up the crystals. However, in most cases the intensity data are averaged over a number of different kinds of unit cell that can occur in the ensemble. We investigate the properties of this problem and describe two algorithms to reconstruct the electron density of these unit cells from the averaged x-ray diffraction intensity data. The algorithms are evaluated by simulation.
Original language | English (US) |
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Title of host publication | Proceedings of IVCNZ 2014: The 29th International Conference on Image and Vision Computing New Zealand |
Publisher | Association for Computing Machinery |
Pages | 202-206 |
Number of pages | 5 |
Volume | 19-21-November-2014 |
ISBN (Electronic) | 9781450331845 |
DOIs | |
State | Published - Nov 19 2014 |
Externally published | Yes |
Event | 29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014 - Hamilton, New Zealand Duration: Nov 19 2014 → Nov 21 2014 |
Other
Other | 29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014 |
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Country | New Zealand |
City | Hamilton |
Period | 11/19/14 → 11/21/14 |
Keywords
- Crystallography
- Image reconstruction
- Iterative search algorithms
- Nanocrystals
- Phase retrieval
- Symmetry
- X-ray free-electron lasers
ASJC Scopus subject areas
- Human-Computer Interaction
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Software