Geodesic
Single particle study by X-ray diffraction: crystallographic approach
Matematičeskaâ biologiâ i bioinformatika, Tome 14 (2019), pp. t44-t61.

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An increase in the power of X-ray sources, in particular, the commissioning of X-ray free electron lasers, opens up the possibility of recording the diffraction by single macromolecular biological particles. These opportunities open the way to weakening, and, ideally, removal, of the main limitation of X-ray structure analysis, namely, the need to prepare the sample in the single-crystal form. However, the possibility of the practical recording of diffraction by a single particle is currently limited to a very low-resolution zone, what is one of the main obstacles in the development of this approach. This paper discusses the similarities and differences in the study of crystal samples and single particles. It is shown that the problem of the determination of the structure of a single particle can be formulated as a standard problem of biological crystallography, namely, as the problem of retrieval the electron density distribution in some unit cell from the magnitudes of its Fourier coefficients. This makes it possible to apply the entire range of the methods of biological crystallography to the study of isolated particles. At the same time, the possibility of recording continuous diffraction pattern for a single particle (as opposed to a discrete set of Bragg reflections in the case of a crystal) significantly increases the amount of information derived from the experiment. The analytical properties of the continuous diffraction pattern create a potential opportunity both to restore the structure factors phases (lost in the diffraction experiment), and to extrapolate the experimentally observed pattern onto a wider area, which allows to increase the resolution of Fourier syntheses for the electron density distribution. 
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     title = {Single particle study by {X-ray} diffraction: crystallographic approach},
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V. Yu. Lunin; N. L. Lunina; T. E. Petrova. Single particle study by X-ray diffraction: crystallographic approach. Matematičeskaâ biologiâ i bioinformatika, Tome 14 (2019), pp. t44-t61. http://geodesic.mathdoc.fr/item/MBB_2019_14_a3/

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