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Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...
X-ray Diffraction of Biological Samples01:10

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.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal crystal...

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Related Experiment Video

Updated: May 28, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
08:55

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Structure solution with automated electron diffraction tomography data: different instrumental approaches.

T E Gorelik1, A A Stewart, U Kolb

  • 1Institute of Physical Chemistry, Johannes Gutenberg-Universität Mainz, Jakob Welderweg 11, 55128 Mainz. gorelik@uni-mainz.de

Journal of Microscopy
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

Automated electron diffraction tomography (AEDT) is a powerful tool for nano-crystalline material structure solution. This study demonstrates that manual data collection can achieve comparable quality to AEDT, enabling ab initio structure solution.

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Last Updated: May 28, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
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Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
08:53

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Published on: October 2, 2017

Area of Science:

  • Materials Science
  • Crystallography
  • Electron Microscopy

Background:

  • Automated electron diffraction tomography (AEDT) has become a standard technique for solving the structures of nano-crystalline materials.
  • AEDT utilizes arbitrary tilt axes and non-oriented diffraction patterns for high-quality intensity data.
  • Electron beam precession further enhances data quality by sampling intensities between reciprocal space slices.

Purpose of the Study:

  • To demonstrate that manual data collection can yield electron diffraction data comparable in quality to automated methods.
  • To validate the suitability of manually collected data for ab initio structure solution and refinement.
  • To test the technique on a challenging low-symmetry material, triclinic sodium tetratungstate (Na(2)W(4)O(13)).

Main Methods:

  • Collected electron diffraction tomography data using both automated and manual techniques.
  • Investigated the impact of electron beam precession on data quality.
  • Employed a manual method mimicking the automated process for data acquisition.

Main Results:

  • Electron diffraction data of comparable quality were obtained using both automated and manual collection methods.
  • Data collected with and without electron beam precession proved suitable for ab initio structure solution.
  • The manual technique successfully provided data for the complex triclinic sodium tetratungstate structure.

Conclusions:

  • Manual electron diffraction tomography is a viable alternative to automated methods for structure solution.
  • The manual approach, even without precession, can generate sufficient data quality for ab initio refinement.
  • This finding expands the accessibility of advanced crystallographic structure determination techniques.