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...
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...

You might also read

Related Articles

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

Sort by
Same author

A decade of atom-counting in STEM: From the first results toward reliable 3D atomic models from a single projection.

Ultramicroscopy·2023
Same author

Linearized radially polarized light for improved precision in strain measurements using micro-Raman spectroscopy.

Optics express·2021
Same author

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning.

Journal of dental research·2021
Same author

Three-dimensional atomic models from a single projection using Z-contrast imaging: verification by electron tomography and opportunities.

Nanoscale·2017
Same author

Optimizing experimental parameters for the projection requirement in HAADF-STEM tomography.

Ultramicroscopy·2017
Same author

Depth sectioning combined with atom-counting in HAADF STEM to retrieve the 3D atomic structure.

Ultramicroscopy·2017

Related Experiment Video

Updated: May 18, 2026

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

Advanced reconstruction algorithms for electron tomography: from comparison to combination.

B Goris1, T Roelandts, K J Batenburg

  • 1EMAT, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium.

Ultramicroscopy
|September 7, 2012
PubMed
Summary

This study compares electron tomography reconstruction techniques: simultaneous iterative reconstruction technique (SIRT), total variation minimization (TVM), and discrete algebraic reconstruction technique (DART). TVM-based 3D reconstruction provides objective input for DART, enabling objective segmentation.

More Related Videos

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

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

Related Experiment Videos

Last Updated: May 18, 2026

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy
09:47

Array Tomography Workflow for the Targeted Acquisition of Volume Information using Scanning Electron Microscopy

Published on: July 15, 2021

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

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

Area of Science:

  • Electron tomography
  • Image reconstruction
  • 3D imaging

Background:

  • Electron tomography is crucial for high-resolution 3D imaging.
  • Reconstruction algorithms like SIRT, TVM, and DART are used.
  • Objective segmentation in 3D reconstructions remains a challenge.

Purpose of the Study:

  • To compare SIRT, TVM, and DART for electron tomography.
  • To introduce a novel approach using TVM output for DART input.
  • To achieve objective segmentation in 3D tomographic reconstructions.

Main Methods:

  • Comparative analysis of SIRT, TVM, and DART algorithms.
  • Utilizing 3D reconstruction from TVM as input for DART.
  • Evaluating the objectivity of the segmentation process.

Main Results:

  • Discussion of advantages and disadvantages of each reconstruction technique.
  • Demonstration that TVM-based 3D reconstructions offer objective input data.
  • Successful objective segmentation achieved through the combined TVM-DART approach.

Conclusions:

  • The integrated TVM-DART method enhances objectivity in electron tomography.
  • This approach offers a significant improvement for accurate 3D structural analysis.
  • Objective segmentation is a key benefit for detailed biological and material science imaging.