skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Low-signal limit of X-ray single particle diffractive imaging

Journal Article · · Optics Express
DOI:https://doi.org/10.1364/OE.27.037816· OSTI ID:1579401

An outstanding question in X-ray single particle imaging experiments has been the feasibility of imaging sub 10-nm-sized biomolecules under realistic experimental conditions where very few photons are expected to be measured in a single snapshot and instrument background may be significant relative to particle scattering. While analyses of simulated data have shown that the determination of an average image should be feasible using Bayesian methods such as the EMC algorithm, this has yet to be demonstrated using experimental data containing realistic non-isotropic instrument background, sample variability and other experimental factors. In this study, we show that the orientation and phase retrieval steps work at photon counts diluted to the signal levels one expects from smaller molecules or with weaker pulses, using data from experimental measurements of 60-nm PR772 viruses. Even when the signal is reduced to a fraction as little as 1/256, the virus electron density determined using ab initio phasing is of almost the same quality as the high-signal data. However, we are still limited by the total number of patterns collected, which may soon be mitigated by the advent of high repetition-rate sources like the European XFEL and LCLS-II.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC02-76SF00515; STC-1231306; ERC-2013-SyG 609920; RGP0010/2017; EXC 2056 - project ID 390715994
OSTI ID:
1579401
Alternate ID(s):
OSTI ID: 1604680
Journal Information:
Optics Express, Journal Name: Optics Express Vol. 27 Journal Issue: 26; ISSN 1094-4087
Publisher:
Optical Society of America (OSA)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 27 works
Citation information provided by
Web of Science

References (20)

Biological imaging by soft x-ray diffraction microscopy journal October 2005
The Atomic, Molecular and Optical Science instrument at the Linac Coherent Light Source journal April 2015
Single-particle imaging without symmetry constraints at an X-ray free-electron laser journal September 2018
Fourier shell correlation threshold criteria journal September 2005
Coherent diffraction of single Rice Dwarf virus particles using hard X-rays at the Linac Coherent Light Source journal August 2016
Phase retrieval by iterated projections journal January 2003
Correlations in Scattered X-Ray Laser Pulses Reveal Nanoscale Structural Features of Viruses journal October 2017
Outcome of the First Electron Microscopy Validation Task Force Meeting journal February 2012
Reconstruction algorithm for single-particle diffraction imaging experiments journal August 2009
Reconstruction of an object from the modulus of its Fourier transform journal January 1978
Cryptotomography: Reconstructing 3D Fourier Intensities from Randomly Oriented Single-Shot Diffraction Patterns journal June 2010
Unsupervised classification of single-particle X-ray diffraction snapshots by spectral clustering journal January 2011
Three-Dimensional Reconstruction of the Giant Mimivirus Particle with an X-Ray Free-Electron Laser journal March 2015
Potential for biomolecular imaging with femtosecond X-ray pulses journal August 2000
Dragonfly : an implementation of the expand–maximize–compress algorithm for single-particle imaging journal June 2016
The linac coherent light source single particle imaging road map journal July 2015
Coherent soft X-ray diffraction imaging of coliphage PR772 at the Linac coherent light source journal June 2017
The Coherent X-ray Imaging Data Bank journal August 2012
Solving structure with sparse, randomly-oriented x-ray data journal January 2012
Determination of crystallographic intensities from sparse data journal January 2015