Difference between revisions of "XCCA"

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* Zvi Kam [http://www.sciencedirect.com/science/article/pii/0022519380900880 The Reconstruction of Structure from Electron Micrographs of Randomly Oriented Particles] ;;Journal of Theoretical Biology'' '''1980''', 82 (1), 15-39. [http://dx.doi.org/10.1016/0022-5193(80)90088-0 doi: 10.1016/0022-5193(80)90088-0]
 
* Zvi Kam [http://www.sciencedirect.com/science/article/pii/0022519380900880 The Reconstruction of Structure from Electron Micrographs of Randomly Oriented Particles] ;;Journal of Theoretical Biology'' '''1980''', 82 (1), 15-39. [http://dx.doi.org/10.1016/0022-5193(80)90088-0 doi: 10.1016/0022-5193(80)90088-0]
 
* Richard A. Kirian, Kevin E. Schmidt, Xiaoyu Wang, R. Bruce Doak, and John C. H. Spence [http://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.011921 Signal, noise, and resolution in correlated fluctuations from snapshot small-angle x-ray scattering] ''Phys. Rev. E'' '''2011''', 84, 011921. [http://dx.doi.org/10.1103/PhysRevE.84.011921 doi: 10.1103/PhysRevE.84.011921]
 
* Richard A. Kirian, Kevin E. Schmidt, Xiaoyu Wang, R. Bruce Doak, and John C. H. Spence [http://journals.aps.org/pre/abstract/10.1103/PhysRevE.84.011921 Signal, noise, and resolution in correlated fluctuations from snapshot small-angle x-ray scattering] ''Phys. Rev. E'' '''2011''', 84, 011921. [http://dx.doi.org/10.1103/PhysRevE.84.011921 doi: 10.1103/PhysRevE.84.011921]
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* G. Chen, M. A. Modestino, B. K. Poon, A. Schirotzek, S. Marchesini, R. A. Segalman, A. Hexemer and P. H. Zwart [http://scripts.iucr.org/cgi-bin/paper?S0909049512023801 Structure determination of Pt-coated Au dumbbells via fluctuation X-ray scattering] ''J. Synchrotron Radiation'' '''2012''', 19, 695-700. [http://dx.doi.org/10.1107/S0909049512023801 doi: 10.1107/S0909049512023801]
  
 
===[[XFEL]]===
 
===[[XFEL]]===

Revision as of 19:42, 11 November 2016

X-ray cross-correlation analysis (XCCA) is a suite of techniques for analyzing correlations within x-ray scattering datasets. In particular, analysis of angular correlations within the 2D detector image can be used to isolate structural information that would be lost in a conventional circular-averaged 1D curve. Thus, even for nominally isotropic materials (powder-like sample), information about local symmetry (and thus packing motifs or unit cell) can be extracted from the data.

Angular correlation information can also be mined to reconstruct the three-dimensional reciprocal-space from individual 2D detector snapshots. That is, XCCA methods can be exploited to co-align scattering frames, registering them into the 3D scattering volume. This is conceptually similar to reciprocal-space mapping, but instead of directly reconstructing reciprocal-space by merging images, this is done in a statistical sense (because the relative alignment of frames is not known).

References

XCCA

Reconstruction

XFEL

See Also