@inproceedings{bd547213a95e4498a083e79643d700af,
title = "Phase retrieval from crystalline diffraction averaged over several different unit cells",
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.",
keywords = "Crystallography, Image reconstruction, Iterative search algorithms, Nanocrystals, Phase retrieval, Symmetry, X-ray free-electron lasers",
author = "Chen, {Joe P.J.} and Kirian, {Rick A.} and Beyerlein, {Kenneth R.} and Bean, {Richard J.} and Chapman, {Henry N.} and Bones, {Philip J.} and Millane, {Rick P.}",
year = "2014",
month = nov,
day = "19",
doi = "10.1145/2683405.2683456",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "202--206",
booktitle = "Proceedings of IVCNZ 2014",
note = "29th International Conference on Image and Vision Computing New Zealand, IVCNZ 2014 ; Conference date: 19-11-2014 Through 21-11-2014",
}