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...

You might also read

Related Articles

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

Sort by

Same author

Low-Temperature Triggered Shape Transformation of Liquid Metal Microdroplets.

ACS applied materials & interfaces·2020

Same author

Survival Benefit of Metformin Use for Pancreatic Cancer Patients Who Underwent Pancreatectomy: Results From a Meta-Analysis.

Frontiers in medicine·2020

Same author

Organohalogen compounds of emerging concern in Baltic Sea biota: Levels, biomagnification potential and comparisons with legacy contaminants.

Environment international·2020

Same author

Water-Soluble Anthraquinone Photocatalysts Enable Methanol-Driven Enzymatic Halogenation and Hydroxylation Reactions.

ACS catalysis·2020

Same author

Integrated sequencing and array comparative genomic hybridization in familial Parkinson disease.

Neurology. Genetics·2020

Same author

Treatment for tuberculosis of the subaxial cervical spine: a systematic review.

Archives of orthopaedic and trauma surgery·2020

Search research articles

Related Experiment Video

Updated: May 31, 2026

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

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

Published on: July 15, 2021

Three-dimensional reconstruction using an adaptive simultaneous algebraic reconstruction technique in electron

Xiaohua Wan¹, Fa Zhang, Qi Chu

¹Institute of Computing Technology and Key Lab of Intelligent Information Processing, Chinese Academy of Sciences, Beijing 100190, China.

Journal of Structural Biology

|June 25, 2011

Summary

Adaptive Simultaneous Algebraic Reconstruction Technique (ASART) enhances 3D reconstruction from noisy electron tomography data. This method improves image quality and accelerates processing for complex biological structures.

More Related Videos

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

Published on: March 15, 2021

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Related Experiment Videos

Last Updated: May 31, 2026

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

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

Published on: July 15, 2021

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

A 3D Cartographic Description of the Cell by Cryo Soft X-ray Tomography

Published on: March 15, 2021

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Imaging Replicative Domains in Ultrastructurally Preserved Chromatin by Electron Tomography

Published on: May 20, 2022

Area of Science:

Structural Biology
Microscopy and Imaging
Computational Biology

Background:

Three-dimensional (3D) reconstruction using electron tomography (ET) is crucial for analyzing complex biological samples.
Existing reconstruction methods often struggle with noisy and incomplete ET data, limiting their applicability.

Purpose of the Study:

To develop an improved reconstruction technique for electron tomography (ET) that addresses limitations with noisy and incomplete data.
To enhance the quality and speed of 3D structure reconstruction in biological imaging.

Main Methods:

Introduced an Adaptive Simultaneous Algebraic Reconstruction Technique (ASART).
Implemented a modified multilevel access scheme to optimize projection order, minimizing view correlations.
Developed an adaptive relaxation parameter adjustment method using pixel gray levels and weight matrices for improved convergence and quality.
Utilized a column-sum substitution approach to reduce computational load per iteration.

Main Results:

ASART demonstrated superior objective quality measures compared to existing methods, particularly for noisy and limited-angle ET data.
The ASART technique significantly accelerated the reconstruction process compared to the standard Simultaneous Algebraic Reconstruction Technique (SART).
Enhanced 3D structure reconstruction quality was achieved, even under challenging data conditions.

Conclusions:

ASART provides a robust and efficient solution for 3D reconstruction in electron tomography, especially for low-quality datasets.
The developed methods improve both the accuracy and speed of reconstructing complex biological sample structures.