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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...
Cryo-electron Microscopy01:28

Cryo-electron Microscopy

Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...

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Related Experiment Video

Updated: May 31, 2026

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

Computer controlled cryo-electron microscopy--TOM² a software package for high-throughput applications.

Andreas Korinek1, Florian Beck, Wolfgang Baumeister

  • 1Max Planck Institute of Biochemistry, Department of Molecular Structural Biology, Am Klopferspitz 18, D-82152 Martinsried, Germany.

Journal of Structural Biology
|June 28, 2011
PubMed
Summary
This summary is machine-generated.

A new software package, TOM(2), enhances automated data acquisition for electron microscopy, enabling larger, higher-quality datasets for structural studies. This high-throughput system streamlines both single particle analysis and electron tomography applications.

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Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging
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Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Related Experiment Videos

Last Updated: May 31, 2026

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography
11:33

Using Tomoauto: A Protocol for High-throughput Automated Cryo-electron Tomography

Published on: January 30, 2016

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

Area of Science:

  • Structural Biology
  • Microscopy Techniques
  • Computational Biology

Background:

  • Automated data acquisition is crucial for advancing electron microscopy, enabling larger datasets and consistent quality.
  • Electron tomography and single particle analysis benefit significantly from systematic exploration and exhaustive molecular state classification.

Purpose of the Study:

  • To introduce a novel software philosophy and architecture for diverse automated data acquisition scenarios in electron microscopy.
  • To present the TOM(2) software package, an object-oriented evolution of the original TOM software.

Main Methods:

  • Development of an object-oriented software architecture comprising self-sufficient, interconnected modules.
  • Hierarchical task subdivision for data acquisition, tightly integrating data structure and operations.
  • Integration with advanced instrumentation in electron optics, cryogenics, and robotics for high-throughput data collection.

Main Results:

  • Demonstration of TOM(2)'s capacity for high-throughput data acquisition.
  • Successful application in a single particle analysis case study.
  • Successful application in a batch tomography workflow.

Conclusions:

  • The TOM(2) software package provides a versatile and efficient platform for automated data acquisition in electron microscopy.
  • The object-oriented design facilitates a wide range of automated data collection strategies, advancing structural biology research.