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TakeTwo: an indexing algorithm suited to still images with known crystal parameters

Authors :
Ginn, HM
Roedig, P
Kuo, A
Evans, G
Sauter, NK
Ernst, O
Meents, A
Mueller-Werkmeister, H
Miller, RJ
Stuart, DI
Source :
Acta Crystallographica. Section D, Structural Biology, Acta crystallographica / D 72(8), 956-965 (2016). doi:10.1107/S2059798316010706, Acta crystallographica. Section D, Structural biology, vol 72, iss Pt 8, Acta Crystallographica Section D: Structural Biology, Ginn, HM; Roedig, P; Kuo, A; Evans, G; Sauter, NK; Ernst, O; et al.(2016). TakeTwo: An indexing algorithm suited to still images with known crystal parameters. Acta Crystallographica Section D: Structural Biology, 72(8), 956-965. doi: 10.1107/S2059798316010706. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/84q80638
Publication Year :
2016

Abstract

A novel indexing method is presented that is well suited to the minimal information on a still image diffraction pattern and can achieve indexing rates of over one lattice per image.<br />The indexing methods currently used for serial femtosecond crystallography were originally developed for experiments in which crystals are rotated in the X-ray beam, providing significant three-dimensional information. On the other hand, shots from both X-ray free-electron lasers and serial synchrotron crystallo­graphy experiments are still images, in which the few three-dimensional data available arise only from the curvature of the Ewald sphere. Traditional synchrotron crystallography methods are thus less well suited to still image data processing. Here, a new indexing method is presented with the aim of maximizing information use from a still image given the known unit-cell dimensions and space group. Efficacy for cubic, hexagonal and orthorhombic space groups is shown, and for those showing some evidence of diffraction the indexing rate ranged from 90% (hexagonal space group) to 151% (cubic space group). Here, the indexing rate refers to the number of lattices indexed per image.

Details

ISSN :
20597983
Volume :
72
Issue :
Pt 8
Database :
OpenAIRE
Journal :
Acta crystallographica. Section D, Structural biology
Accession number :
edsair.pmid.dedup....694c894d2ee6ba20358328d66e4b7308