Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electron Microscope Tomography and Single-particle Reconstruction

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 Tomography

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 Tomography

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

Value of treatment by comprehensive stroke services for the reduction of critical gaps in acute stroke care in Europe.

European journal of neurology·2020

Same author

Availability of secondary prevention services after stroke in Europe: An ESO/SAFE survey of national scientific societies and stroke experts.

European stroke journal·2019

Same author

Learning Efficient Sparse and Low Rank Models.

IEEE transactions on pattern analysis and machine intelligence·2015

Same author

Grain-size-independent plastic flow at ultrahigh pressures and strain rates.

Physical review letters·2015

Same author

A VARIATIONAL MODEL FOR DENOISING HIGH ANGULAR RESOLUTION DIFFUSION IMAGING.

Proceedings. IEEE International Symposium on Biomedical Imaging·2012

Same author

Cortisol levels and history of depression in acute coronary syndrome patients.

Psychological medicine·2012

Search research articles

Related Experiment Video

Updated: Jul 5, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

Classification and 3D averaging with missing wedge correction in biological electron tomography.

A Bartesaghi¹, P Sprechmann, J Liu

¹Center for Cancer Research, National Institutes of Health, Building 50, Room 4306, Bethesda, MD 20892, USA.

Journal of Structural Biology

|April 29, 2008

Summary

This study introduces a new computational framework for 3D electron tomography, enabling efficient alignment, classification, and averaging of macromolecular structures. The method effectively corrects for the missing wedge, improving 3D structure determination of complex biological specimens.

More Related Videos

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

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

Published on: January 30, 2016

Preparing Lamellae from Vitreous Biological Samples Using a Dual-Beam Scanning Electron Microscope for Cryo-Electron Tomography

Preparing Lamellae from Vitreous Biological Samples Using a Dual-Beam Scanning Electron Microscope for Cryo-Electron Tomography

Published on: August 5, 2021

Related Experiment Videos

Last Updated: Jul 5, 2026

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Cryo-Electron Tomography Remote Data Collection and Subtomogram Averaging

Published on: July 12, 2022

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

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

Published on: January 30, 2016

Preparing Lamellae from Vitreous Biological Samples Using a Dual-Beam Scanning Electron Microscope for Cryo-Electron Tomography

Preparing Lamellae from Vitreous Biological Samples Using a Dual-Beam Scanning Electron Microscope for Cryo-Electron Tomography

Published on: August 5, 2021

Area of Science:

Structural biology
Biophysics
Computational biology

Background:

Electron tomography (ET) is used for 3D structure determination of heterogeneous biological samples.
Traditional averaging methods are unsuitable for heterogeneous ET data.
Complex biological entities contain multiple copies of macromolecules amenable to averaging.

Purpose of the Study:

To develop a computational framework for 3D alignment, classification, and averaging of ET volumes.
To account for the missing wedge inherent in limited-angle ET.
To enable 3D averaging of macromolecular structures within heterogeneous samples.

Main Methods:

Modeling the missing wedge as a reciprocal space mask.
Utilizing the convolution theorem in harmonic analysis for alignment.
Implementing an iterative alignment and classification approach without external references.

Main Results:

A computationally efficient framework for processing ET volumes.
Seamless accounting for the missing wedge in alignment and classification.
Successful 3D classification and averaging of phantom and experimental GroEL tomograms.

Conclusions:

The developed framework significantly enhances the analysis of ET data.
It allows for 3D averaging of macromolecular structures within complex biological samples.
This method provides a robust approach for high-resolution structural determination using ET.