scholarly journals Methods for quaternary and domain structure analysis by small angle scattering

2005 ◽  
Vol 61 (a1) ◽  
pp. c106-c106
Author(s):  
M. Petoukhov ◽  
D. Svergun
1982 ◽  
Vol 38 (6) ◽  
pp. 827-835 ◽  
Author(s):  
D. I. Svergun ◽  
L. A. Feigin ◽  
B. M. Schedrin

2010 ◽  
Vol 98 (3) ◽  
pp. 284a
Author(s):  
Simon Castorph ◽  
Matthew Holt ◽  
Dietmar Riedel ◽  
Lise Arleth ◽  
Michael Sztucki ◽  
...  

1978 ◽  
Vol 11 (1) ◽  
pp. 39-70 ◽  
Author(s):  
O. Kratky ◽  
I. Pilz

In principle, there exist two ways to contribute to structure determination of macromolecules by X-ray diffraction: (a) by analysing diffraction data obtained from the crystalline state, and (b) by interpretation of X-ray small-angle scattering from particles in solution.The brilliant achievements of X-ray crystal-structure analysis of macromolecules, initiated by the works of Perutz on heamoglobin and Kendrew on myoglobin, are well known and it is evident that its detailed elution of secondary, tertiary and quaternary structure cannot be matched by any other means. However, a number of necessary prerequisites for a successful application, as, for example, the availability of well-defined crystals and heavy atom labelled derivatives thereof to surmount the problem of phase determination are not always given.


2001 ◽  
Vol 34 (4) ◽  
pp. 496-503 ◽  
Author(s):  
Norbert Stribeck

A method is presented that permits the extraction and visualization of topological domain structure information contained in small-angle scattering (SAS) patterns without complex pretreatment. Multi-dimensional noisy raw data can be processed. Such data are, for instance, accumulated in the field of materials research from short-exposure-timein situsmall-angle X-ray scattering (SAXS) experiments with synchrotron radiation. The result is a multi-dimensional intersect or chord distribution, which is defined as the Laplacian of the correlation function. Moreover, it is equivalent to the autocorrelation of the gradient of the electron density. The procedure is, in particular, adapted to the analysis of the nanoscale structure of samples with fibre symmetry, such as polymer fibres or strained elastomers. Multi-dimensional relations among morphological components become apparent in real space and help to elucidate the nature of the processes governing formation and change of structure on the nanometre scale. Utilizing digital signal processing tools, the algorithm is based on spatial frequency filtering of the raw data. The background to be subtracted from the small-angle scattering pattern is formed from its own low spatial frequencies. Noise may be removed by suppressing high spatial frequencies. In the frequency band between these low and high spatial frequencies, the domain structure information of the studied nanocomposite appears.


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