A Metropolis Monte Carlo algorithm for merging single-particle diffraction intensities.
Acta Crystallogr A Found Adv
; 78(Pt 3): 200-211, 2022 May 01.
Article
em En
| MEDLINE
| ID: mdl-35502712
ABSTRACT
Single-particle imaging with X-ray free-electron lasers depends crucially on algorithms that merge large numbers of weak diffraction patterns despite missing measurements of parameters such as particle orientations. The expand-maximize-compress (EMC) algorithm is highly effective at merging single-particle diffraction patterns with missing orientation values, but most implementations exhaustively sample the space of missing parameters and may become computationally prohibitive as the number of degrees of freedom extends beyond orientation angles. This paper describes how the EMC algorithm can be modified to employ Metropolis Monte Carlo sampling rather than grid sampling, which may be favorable for reconstruction problems with more than three missing parameters. Using simulated data, this variant is compared with the standard EMC algorithm.
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Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
1_ASSA2030
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Elétrons
Tipo de estudo:
Health_economic_evaluation
/
Prognostic_studies
Idioma:
En
Revista:
Acta Crystallogr A Found Adv
Ano de publicação:
2022
Tipo de documento:
Article