Structure solution with automated electron diffraction tomography data: different instrumental approaches

被引:22
作者
Gorelik, T. E. [1 ]
Stewart, A. A. [1 ]
Kolb, U. [1 ]
机构
[1] Johannes Gutenberg Univ Mainz, Inst Phys Chem, D-55128 Mainz, Germany
关键词
Automated diffraction tomography; electron diffraction; structure solution; INTENSITIES; PROGRAMS;
D O I
10.1111/j.1365-2818.2011.03550.x
中图分类号
TH742 [显微镜];
学科分类号
摘要
Over the past few years automated electron diffraction tomography has become an established technique for structure solution of nano-crystalline material. The intentional choice of an arbitrary tilt axis and thus, the use of nonoriented diffraction patterns (off-zone acquisition) together with fine equidistant sampling of the reciprocal space result in high quality intensity data sets. Coupling automated electron diffraction tomography with electron beam precession (Vincent & Midgley, 1994) enables sampling of intensities between the static slices of reciprocal space and therefore enhances the quality of intensity data further; relatively complex structures have been solved using 3D electron diffraction intensities extracted from automated electron diffraction tomography data. Automated electron diffraction tomography data was collected initially using a dedicated automated module. In this manuscript we demonstrate that electron diffraction data of comparable quality can be collected using manual technique that mimics the automated process. A rather difficult material, i.e. a low symmetric (triclinic) sodium tetratungstate (Na2W4O13) including heavy and light scatterers, was selected for testing. In this paper we show, that all collected data sets automatic and manual, with and without electron beam precession were able to provide data slightly different but suitable for ab initio structure solution and refinement.
引用
收藏
页码:325 / 331
页数:7
相关论文
共 21 条
[1]  
[Anonymous], 2008, Springer Ser. Opt. Sci.
[2]   IL MILIONE:: a suite of computer programs for crystal structure solution of proteins [J].
Burla, Maria C. ;
Caliandro, Rocco ;
Camalli, Mercedes ;
Carrozzini, Benedetta ;
Cascarano, Giovanni L. ;
De Caro, Liberato ;
Giacovazzo, Carmelo ;
Polidori, Giampiero ;
Siliqi, Dritan ;
Spagna, Riccardo .
JOURNAL OF APPLIED CRYSTALLOGRAPHY, 2007, 40 :609-613
[3]  
Cowley JohnMaxwell., 1975, DIFFRACTION PHYS
[4]   MRC image processing programs [J].
Crowther, RA ;
Henderson, R ;
Smith, JM .
JOURNAL OF STRUCTURAL BIOLOGY, 1996, 116 (01) :9-16
[5]  
Dorset Douglas, 1995, STRUCTURAL ELECTRON CRYSTALLOGRAPHY
[6]  
Giacovazzo C., 2002, FUNDAMENTALS CRYSTAL
[7]  
Hirsch P., 1977, Electron Microscopy of Thin Crystals
[8]   Towards automated diffraction tomography. Part II - Cell parameter determination [J].
Kolb, U. ;
Gorelik, T. ;
Otten, M. T. .
ULTRAMICROSCOPY, 2008, 108 (08) :763-772
[9]   Towards automated diffraction tomography:: Part I -: Data acquisition [J].
Kolb, U. ;
Gorelik, T. ;
Kuebel, C. ;
Otten, M. T. ;
Hubert, D. .
ULTRAMICROSCOPY, 2007, 107 (6-7) :507-513
[10]   Automated electron diffraction tomography - a new tool for nano crystal structure analysis [J].
Kolb, U. ;
Mugnaioli, E. ;
Gorelik, T. E. .
CRYSTAL RESEARCH AND TECHNOLOGY, 2011, 46 (06) :542-554