Literature DB >> 17126564

Classification of continuous diffraction patterns: a numerical study.

G Bortel1, G Faigel.   

Abstract

The very intense and short pulses of future X-ray free electron lasers may allow the atomic resolution imaging of small, non-periodic objects. Preliminary estimates show that images obtained from single pulses do not contain statistically enough photons to allow successful reconstruction. Therefore multiple exposures of randomly oriented identical replicas have to be taken and the individual images have to be classified according to the object's orientation. The classification has been analytically treated by Huldt et al. [Huldt, G., Szoke, A., Hajdu, J., 2003. J. Struct. Biol. 144, 219.]. In this paper we extend the analytical results with numerical model calculations. This allows us to simulate realistic situations, which we will face in real experiments. We find significant deviations from the analytical expectations, even in the ideal case of spherical particles with random atomic distributions. We introduce a new norm for the individual scattering patterns and describe a criterion to select images belonging to similar orientation, which makes the classification more reliable in practice. We also discuss the effects of particle shape and size, partial orientational ordering, the measurement's resolution and the charge error caused by the Coulomb explosion.

Mesh:

Year:  2006        PMID: 17126564     DOI: 10.1016/j.jsb.2006.10.018

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  4 in total

Review 1.  A minimal view of single-particle imaging with X-ray lasers.

Authors:  N Duane Loh
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-07-17       Impact factor: 6.237

2.  Classifying and assembling two-dimensional X-ray laser diffraction patterns of a single particle to reconstruct the three-dimensional diffraction intensity function: resolution limit due to the quantum noise.

Authors:  Atsushi Tokuhisa; Junichiro Taka; Hidetoshi Kono; Nobuhiro Go
Journal:  Acta Crystallogr A       Date:  2012-03-22       Impact factor: 2.290

Review 3.  Single-Image Super-Resolution Improvement of X-ray Single-Particle Diffraction Images Using a Convolutional Neural Network.

Authors:  Atsushi Tokuhisa; Yoshinobu Akinaga; Kei Terayama; Yuji Okamoto; Yasushi Okuno
Journal:  J Chem Inf Model       Date:  2022-07-12       Impact factor: 6.162

4.  Start-to-end simulation of single-particle imaging using ultra-short pulses at the European X-ray Free-Electron Laser.

Authors:  Carsten Fortmann-Grote; Alexey Buzmakov; Zoltan Jurek; Ne-Te Duane Loh; Liubov Samoylova; Robin Santra; Evgeny A Schneidmiller; Thomas Tschentscher; Sergey Yakubov; Chun Hong Yoon; Michael V Yurkov; Beata Ziaja-Motyka; Adrian P Mancuso
Journal:  IUCrJ       Date:  2017-09-01       Impact factor: 4.769

  4 in total

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