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Related Concept Videos

Determination of Crystal Structures01:29

Determination of Crystal Structures

In the late 1800s, the revelation that light extended beyond visible wavelengths led to the discovery of X-rays by Wilhelm Roentgen. Recognized as high-energy electromagnetic radiation with short wavelengths, X-rays prompted exploration into their interaction with crystals. Max von Laue proposed in 1912 that the periodic arrangement of atoms, ions, or molecules in crystals would cause them to diffract X-rays, a hypothesis confirmed through experiments with copper sulfate and zinc sulfide...
X-ray Crystallography02:18

X-ray Crystallography

The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
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X-ray Diffraction of Biological Samples

X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
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Structures of Solids

Solids in which the atoms, ions, or molecules are arranged in a definite repeating pattern are known as crystalline solids. Metals and ionic compounds typically form ordered, crystalline solids. A crystalline solid has a precise melting temperature because each atom or molecule of the same type is held in place with the same forces or energy. Amorphous solids or non-crystalline solids (or, sometimes, glasses) which lack an ordered internal structure and are randomly arranged. Substances that...

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On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
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Beyond the crystallization paradigm: structure determination from diffraction patterns from ensembles of randomly

H C Poon1, D K Saldin

  • 1Department of Physics, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.

Ultramicroscopy
|December 21, 2010
PubMed
Summary

This study refines a method for reconstructing single-particle diffraction patterns from multiple-particle data. It introduces a new phasing technique and addresses potential ambiguities in the process.

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Area of Science:

  • Crystallography
  • Diffraction imaging
  • Single-particle analysis

Background:

  • Accurate reconstruction of single-particle diffraction patterns is crucial for structural determination.
  • Existing methods face challenges with oversampling and phase retrieval.

Purpose of the Study:

  • To enhance the method for recovering oversampled diffraction patterns from multi-particle data.
  • To introduce an alternative phasing approach for diffraction intensity data.
  • To address enantiomeric ambiguities in diffraction pattern reconstruction.

Main Methods:

  • Amplification of principles for recovering oversampled diffraction patterns from rotationally related multi-particle orientations.
  • Proposal of an alternative phasing method using non-negativity constraints on diffraction intensities.
  • Analysis of angular correlations and averaging techniques for noisy data.

Main Results:

  • Demonstration of a refined method for single-particle diffraction pattern recovery.
  • Successful implementation of a non-negativity constraint for phasing resolution rings.
  • Identification and discussion of enantiomeric ambiguities in reconstruction.
  • Validation of converged correlations from averaged noisy data.

Conclusions:

  • The enhanced method improves single-particle diffraction pattern reconstruction.
  • Non-negativity constraints offer a viable approach for phasing.
  • Awareness of enantiomeric ambiguities is critical for accurate structural analysis.
  • Robust correlation deduction is achievable even with noisy datasets.