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X-ray Crystallography02:18

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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.
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On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
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Advanced electron crystallography through model-based imaging.

Sandra Van Aert1, Annick De Backer1, Gerardo T Martinez1

  • 1Electron Microscopy for Materials Research (EMAT), University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium.

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|February 13, 2016
PubMed
Summary
This summary is machine-generated.

Quantitative transmission electron microscopy (qTEM) precisely determines atomic arrangements in materials. Statistical parameter estimation theory enables accurate measurements of atomic positions and chemical concentrations, advancing materials design.

Keywords:
experimental designquantitative analysisstatistical parameter estimationstructure refinementtransmission electron microscopy

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Area of Science:

  • Materials Science
  • Physics
  • Chemistry

Background:

  • Growing need for precise atomic arrangement determination in materials design and nanostructure control.
  • Increasing interest in quantitative transmission electron microscopy (qTEM) for accurate structural analysis.

Purpose of the Study:

  • To extract precise numerical data on unknown structure parameters like atomic positions, chemical concentrations, and atomic numbers.
  • To update readers on the theory and applications of model-based qTEM.

Main Methods:

  • Application of statistical parameter estimation theory to image data.
  • Utilizing parametric models to describe images and determine structure parameters.
  • Employing high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) for atomic number quantification.

Main Results:

  • Measurement of atom column positions with picometre precision, exceeding microscope resolution.
  • Quantification of small differences in average atomic number, invisible visually.
  • Capability to measure compositional changes at interfaces and count atoms with single-atom sensitivity.
  • Reconstruction of atomic structures in three dimensions.

Conclusions:

  • Statistical parameter estimation theory provides reliable results for quantitative analysis in TEM.
  • Model-based qTEM offers unprecedented precision and sensitivity for materials characterization.
  • qTEM is a powerful tool for advancing materials design and understanding nanostructures.