Flash X-ray diffraction imaging in 3D: a proposed analysis pipeline

被引:0
|
作者
Liu, Jing [1 ,2 ]
Engblom, Stefan [2 ]
Nettelblad, Carl [2 ,3 ]
机构
[1] Uppsala Univ, Dept Cell & Mol Biol, Lab Mol Biophys, SE-75124 Uppsala, Sweden
[2] Uppsala Univ, Dept Informat Technol, Div Sci Comp, SE-75105 Uppsala, Sweden
[3] Uppsala Univ, Sci Life Lab, SE-75105 Uppsala, Sweden
基金
欧洲研究理事会;
关键词
CLASSIFICATION; ALGORITHMS;
D O I
10.1364/JOSAA.390384
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Modern Flash X-ray diffraction Imaging (FXI) acquires diffraction signals from single biomolecules at a high repetition rate from X-ray Free Electron Lasers (XFELs), easily obtaining millions of 2D diffraction patterns from a single experiment. Due to the stochastic nature of FXI experiments and the massive volumes of data, retrieving 3D electron densities from raw 2D diffraction patterns is a challenging and time-consuming task. We propose a semi-automatic data analysis pipeline for FXI experiments, which includes four steps: hit-finding and preliminary filtering, pattern classification, 3D Fourier reconstruction, and post-analysis. We also include a recently developed bootstrap methodology in the post-analysis step for uncertainty analysis and quality control. To achieve the best possible resolution, we further suggest using background subtraction, signal windowing, and convex optimization techniques when retrieving the Fourier phases in the post-analysis step. As an application example, we quantified the 3D electron structure of the PR772 virus using the proposed data analysis pipeline. The retrieved structure was above the detector edge resolution and clearly showed the pseudo-icosahedral capsid of the PR772. (C) 2020 Optical Society of America
引用
收藏
页码:1673 / 1686
页数:14
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