Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Noise2Ghost: self-supervised deep convolutional reconstruction for ghost imaging.

Optics express·2026
Same author

Temperature-dependent mean inner potential of polystyrene spheres measured using off-axis electron holography.

Ultramicroscopy·2026
Same author

Towards reliable electrical measurements of superconducting devices inside a transmission electron microscope.

Ultramicroscopy·2026
Same author

Selective Narrowing of the Bonding Modes of Plasmonic Nanoantennas.

ACS applied materials & interfaces·2026
Same author

Kids' motives of sport participation and the image of handball-a qualitative approach to increasing the number of child members.

Frontiers in sports and active living·2026
Same author

Atomic-scale quantification of individual oxygen vacancies and structural evolution in valence change memristors.

Nature communications·2026
Same journal

Predictive drift compensation of multi-frame STEM via live scan modification.

Ultramicroscopy·2026
Same journal

Deep PACBED: Multitask analysis of PACBED images using deep neural networks.

Ultramicroscopy·2026
Same journal

Guided progressive reconstructive imaging: A new quantization-based framework for low-dose, high-throughput and real-time analytical ptychography.

Ultramicroscopy·2026
Same journal

Brightness optimization in a 200 keV DTEM source by geometry-driven aberration suppression.

Ultramicroscopy·2026
Same journal

Characterization of the Timepix4 hybrid pixel detector and its impact on four-dimensional scanning transmission electron microscopy (4D-STEM).

Ultramicroscopy·2026
Same journal

Contamination analysis of the residual gas composition in transmission electron microscopy.

Ultramicroscopy·2026
See all related articles

Related Experiment Video

Updated: May 13, 2026

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography
14:56

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Geometric reconstruction methods for electron tomography.

Andreas Alpers1, Richard J Gardner, Stefan König

  • 1Zentrum Mathematik, Technische Universität München, D-85747 Garching bei München, Germany. alpers@ma.tum.de

Ultramicroscopy
|March 19, 2013
PubMed
Summary
This summary is machine-generated.

Electron tomography reveals 3D nanostructure details. New geometric algorithms overcome image artifacts like missing wedge and diffraction effects for clearer reconstructions, reducing required tilt angles.

More Related Videos

Scanning Transmission Electron Microscopy Tomography in Virology: 3D Imaging of High-pressure Frozen, Freeze-substituted Samples
09:17

Scanning Transmission Electron Microscopy Tomography in Virology: 3D Imaging of High-pressure Frozen, Freeze-substituted Samples

Published on: August 6, 2025

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

Related Experiment Videos

Last Updated: May 13, 2026

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography
14:56

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Scanning Transmission Electron Microscopy Tomography in Virology: 3D Imaging of High-pressure Frozen, Freeze-substituted Samples
09:17

Scanning Transmission Electron Microscopy Tomography in Virology: 3D Imaging of High-pressure Frozen, Freeze-substituted Samples

Published on: August 6, 2025

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:

  • Materials Science
  • Nanotechnology
  • Computational Imaging

Background:

  • Electron tomography is crucial for 3D nanostructure analysis.
  • Current algorithms suffer from missing wedge artifacts and non-linear projection intensities.
  • These issues degrade image quality and limit structural detail.

Purpose of the Study:

  • To introduce novel algorithms for electron tomography.
  • To address limitations caused by missing wedge and diffraction effects.
  • To improve the accuracy and efficiency of nanostructure reconstruction.

Main Methods:

  • Utilized algorithms from geometric and discrete tomography.
  • Incorporated geometric prior knowledge, including convexity and homogeneity.
  • Applied methods to reconstruct an Indium Arsenide (InAs) nanowire.

Main Results:

  • Successfully overcame missing wedge artifacts.
  • Addressed non-linear projection intensities due to diffraction.
  • Demonstrated reduced tilt angle requirements through geometric priors.
  • Achieved accurate reconstruction of an InAs nanowire.

Conclusions:

  • Geometric and discrete tomography algorithms offer solutions to electron tomography limitations.
  • Incorporating prior knowledge enhances reconstruction quality and efficiency.
  • These advanced methods improve the study of nanostructures in materials science.