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Electron diffraction data processing with DIALS

Electron diffraction is a relatively novel alternative to X-ray crystallography for the structure determination of macromolecules from three-dimensional nanometre-sized crystals. The continuous-rotation method of data collection has been adapted for the electron microscope. However, there are import...

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Autores principales: Clabbers, Max T. B., Gruene, Tim, Parkhurst, James M., Abrahams, Jan Pieter, Waterman, David G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096487/
https://www.ncbi.nlm.nih.gov/pubmed/29872002
http://dx.doi.org/10.1107/S2059798318007726
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author Clabbers, Max T. B.
Gruene, Tim
Parkhurst, James M.
Abrahams, Jan Pieter
Waterman, David G.
author_facet Clabbers, Max T. B.
Gruene, Tim
Parkhurst, James M.
Abrahams, Jan Pieter
Waterman, David G.
author_sort Clabbers, Max T. B.
collection PubMed
description Electron diffraction is a relatively novel alternative to X-ray crystallography for the structure determination of macromolecules from three-dimensional nanometre-sized crystals. The continuous-rotation method of data collection has been adapted for the electron microscope. However, there are important differences in geometry that must be considered for successful data integration. The wavelength of electrons in a TEM is typically around 40 times shorter than that of X-rays, implying a nearly flat Ewald sphere, and consequently low diffraction angles and a high effective sample-to-detector distance. Nevertheless, the DIALS software package can, with specific adaptations, successfully process continuous-rotation electron diffraction data. Pathologies encountered specifically in electron diffraction make data integration more challenging. Errors can arise from instrumentation, such as beam drift or distorted diffraction patterns from lens imperfections. The diffraction geometry brings additional challenges such as strong correlation between lattice parameters and detector distance. These issues are compounded if calibration is incomplete, leading to uncertainty in experimental geometry, such as the effective detector distance and the rotation rate or direction. Dynamic scattering, absorption, radiation damage and incomplete wedges of data are additional factors that complicate data processing. Here, recent features of DIALS as adapted to electron diffraction processing are shown, including diagnostics for problematic diffraction geometry refinement, refinement of a smoothly varying beam model and corrections for distorted diffraction images. These novel features, combined with the existing tools in DIALS, make data integration and refinement feasible for electron crystallography, even in difficult cases.
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spelling pubmed-60964872018-08-24 Electron diffraction data processing with DIALS Clabbers, Max T. B. Gruene, Tim Parkhurst, James M. Abrahams, Jan Pieter Waterman, David G. Acta Crystallogr D Struct Biol Research Papers Electron diffraction is a relatively novel alternative to X-ray crystallography for the structure determination of macromolecules from three-dimensional nanometre-sized crystals. The continuous-rotation method of data collection has been adapted for the electron microscope. However, there are important differences in geometry that must be considered for successful data integration. The wavelength of electrons in a TEM is typically around 40 times shorter than that of X-rays, implying a nearly flat Ewald sphere, and consequently low diffraction angles and a high effective sample-to-detector distance. Nevertheless, the DIALS software package can, with specific adaptations, successfully process continuous-rotation electron diffraction data. Pathologies encountered specifically in electron diffraction make data integration more challenging. Errors can arise from instrumentation, such as beam drift or distorted diffraction patterns from lens imperfections. The diffraction geometry brings additional challenges such as strong correlation between lattice parameters and detector distance. These issues are compounded if calibration is incomplete, leading to uncertainty in experimental geometry, such as the effective detector distance and the rotation rate or direction. Dynamic scattering, absorption, radiation damage and incomplete wedges of data are additional factors that complicate data processing. Here, recent features of DIALS as adapted to electron diffraction processing are shown, including diagnostics for problematic diffraction geometry refinement, refinement of a smoothly varying beam model and corrections for distorted diffraction images. These novel features, combined with the existing tools in DIALS, make data integration and refinement feasible for electron crystallography, even in difficult cases. International Union of Crystallography 2018-05-30 /pmc/articles/PMC6096487/ /pubmed/29872002 http://dx.doi.org/10.1107/S2059798318007726 Text en © Clabbers et al. 2018 http://creativecommons.org/licenses/by/2.0/uk/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.http://creativecommons.org/licenses/by/2.0/uk/
spellingShingle Research Papers
Clabbers, Max T. B.
Gruene, Tim
Parkhurst, James M.
Abrahams, Jan Pieter
Waterman, David G.
Electron diffraction data processing with DIALS
title Electron diffraction data processing with DIALS
title_full Electron diffraction data processing with DIALS
title_fullStr Electron diffraction data processing with DIALS
title_full_unstemmed Electron diffraction data processing with DIALS
title_short Electron diffraction data processing with DIALS
title_sort electron diffraction data processing with dials
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6096487/
https://www.ncbi.nlm.nih.gov/pubmed/29872002
http://dx.doi.org/10.1107/S2059798318007726
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