Sorting algorithms for single-particle imaging experiments at X-ray free-electron lasers.

Journal of synchrotron radiation

PubMedID: 26524297

Bobkov SA, Teslyuk AB, Kurta RP, Gorobtsov OY, Yefanov OM, Ilyin VA, Senin RA, Vartanyants IA. Sorting algorithms for single-particle imaging experiments at X-ray free-electron lasers. J Synchrotron Radiat. 2015;22(Pt 6):1345-52.
Modern X-ray free-electron lasers (XFELs) operating at high repetition rates produce a tremendous amount of data. It is a great challenge to classify this information and reduce the initial data set to a manageable size for further analysis. Here an approach for classification of diffraction patterns measured in prototypical diffract-and-destroy single-particle imaging experiments at XFELs is presented. It is proposed that the data are classified on the basis of a set of parameters that take into account the underlying diffraction physics and specific relations between the real-space structure of a particle and its reciprocal-space intensity distribution. The approach is demonstrated by applying principal component analysis and support vector machine algorithms to the simulated and measured X-ray data sets.