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Journal Article

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

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Müller-Werkmeister,  Henrike
Department of Biochemistry, University of Toronto, King’s College Circle, Toronto, ON M5S 1A8, Canada;
Miller Group, Atomically Resolved Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;
Departments of Physics and Chemistry, University of Toronto, 80 St George Street, Toronto, ON M5S 1H6, Canada;

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Miller,  R. J. Dwayne
Miller Group, Atomically Resolved Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;
Departments of Physics and Chemistry, University of Toronto, 80 St George Street, Toronto, ON M5S 1H6, Canada;
Hamburg Centre for Ultrafast Imaging, University of Hamburg, Hamburg, Germany;

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Citation

Ginn, H. M., Roedig, P., Kuo, A., Evans, G., Sauter, N. K., 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.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-1D2B-7
Abstract
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.