Orientation Determination in Single Particle X-ray Coherent Diffraction Imaging Experiments
O.M. Yefanov, I.A. Vartanyants

TL;DR
This paper presents an algorithm for determining the orientation of particles in single-particle X-ray diffraction imaging, enabling high-resolution structure determination of biological samples without crystallization.
Contribution
The authors introduce a novel algorithm that efficiently determines particle orientations from noisy diffraction data, applicable to samples from nanometers to microns in size.
Findings
Successfully analyzed over 10,000 diffraction patterns per structure.
Achieved a resolution of about 3.3 Å in simulations.
Demonstrated applicability to biological samples with over 100,000 atoms.
Abstract
Single particle diffraction imaging experiments at free-electron lasers (FEL) have a great potential for structure determination of reproducible biological specimens that can not be crystallized. One of the challenges in processing the data from such an experiment is to determine correct orientation of each diffraction pattern from samples randomly injected in the FEL beam. We propose an algorithm (see also O. Yefanov et al., Photon Science - HASYLAB Annual Report 2010) that can solve this problem and can be applied to samples from tens of nanometers to microns in size, measured with sub-nanometer resolution in the presence of noise. This is achieved by the simultaneous analysis of a large number of diffraction patterns corresponding to different orientations of the particles. The algorithms efficiency is demonstrated for two biological samples, an artificial protein structure without…
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