Abstract

In this paper is demonstrated a complete algorithm for determining the electron density of an individual particle from diffraction patterns of many particles, randomly oriented about a single axis. The algorithm operates on angular correlations among the measured intensity distributions. We also demonstrate the ability to recover the angular correlation functions of a single particle from measured diffraction patterns.

Highlights

  • The reconstruction of a high-resolution image of a single particle from scattering by several symmetrically equivalent ones has been demonstrated recently [1]

  • Demonstrated in this paper only for an artificial object of rectangular projection, these results suggest the possibility of deducing the diffraction pattern of a single particle from the angular correlations of a diffraction pattern from the scattering of radiation from multiple identical particles in random orientations

  • It should be possible to reconstruct an image of an individual particle via an iterative phasing algorithm applied to an oversampled reconstructed single-particle diffraction pattern

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Summary

Introduction

The reconstruction of a high-resolution image of a single particle from scattering by several symmetrically equivalent ones has been demonstrated recently [1]. If the scattered intensities from a single molecule could be measured at their (finer) Shannon angular sampling rate, the structure of the scatterer could be determined by iterative phasing algorithms [3] These advantages of signal amplification, damage reduction for high resolution, and access to oversampled intensities (allowing solution of the phase problem) may be combined if the structure of a single particle may be determined from diffraction patterns from many identical particles in random orientations. This is possible if scattering is recorded either from stationary particles or for a recording time less than the rotational diffusion time.

Circular harmonic expansion and angular correlation functions
Simulations
Experimental
Discussion and Conclusions
10. Acknowledgment
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