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...

Scanning Electron Microscopy

Scanning Electron Microscopy

A scanning electron microscope (SEM) is used to study the surface features of a sample by using an electron beam that scans the sample surface in a two-dimensional manner. Typically, areas between ~1 centimeter to 5 micrometers in width can be imaged. SEM can be used to image bacteria, viruses, tissues as well as larger samples like insects. Conventional SEM gives a magnification ranging from 20X to 30,000X and spatial resolution of 50 to 100 nanometers.
Fundamental Principles
Accelerated...

You might also read

Related Articles

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

Sort by

Same author

Characterization and modulation of human insulin degrading enzyme conformational dynamics to control enzyme activity.

eLife·2026

Same author

Characterization Standard for <i>In-situ</i> Cryo-electron Tomography.

bioRxiv : the preprint server for biology·2026

Same author

AreTomoLive: automated reconstruction of comprehensively corrected and denoised cryo-electron tomograms in real time and at high throughput.

Nature methods·2026

Same author

copick: An open dataset interface and toolkit for collaborative annotation and analysis of cryo-electron tomography data.

Protein science : a publication of the Protein Society·2026

Same author

Evaluating the Volta phase plate for improved tomogram alignment in cryo-electron tomography.

IUCrJ·2026

Same author

A realistic phantom dataset for benchmarking cryo-ET data annotation.

Nature methods·2025

Same journal

Vogel spiral-based tilt-scan averaging approach for robust and efficient diffraction contrast suppression in DPC STEM.

Microscopy (Oxford, England)·2026

Same journal

Development of a specialized diamond knife for controlled notch introduction in ultrathin polymer films for in situ tensile transmission electron microscopy.

Microscopy (Oxford, England)·2026

Same journal

Study of nanocrystals within lamellar structures of polyvinylidene fluoride using phase plate scanning transmission electron microscopy.

Microscopy (Oxford, England)·2026

Same journal

Capability of angle-resolved SXES experiment examined by hexagonal BN and its application for the chemical bonding state of Fe2B.

Microscopy (Oxford, England)·2026

Same journal

Cryo-EELS elemental mapping of organic-solvent systems.

Microscopy (Oxford, England)·2026

Same journal

In-situ biasing DPC STEM observation of GaAs p-n junction.

Microscopy (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 28, 2026

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

Automated data collection in single particle electron microscopy.

Yong Zi Tan¹, Anchi Cheng², Clinton S Potter¹

¹The National Resource for Automated Molecular Microscopy, New York Structural Biology Center, New York, NY 10027, USA Simons Electron Microscopy Center, New York Structural Biology Center, 89 Convent Ave, New York, NY 10027, USA Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY 10032, USA.

Microscopy (Oxford, England)

|December 17, 2015

Summary

This summary is machine-generated.

Automated data collection software streamlines single particle electron microscopy (EM) workflows. This review evaluates current tools for automated EM data collection and discusses future trends.

Keywords:

automation data collection high throughput single particle electron microscopy software packages target acquisition

More Related Videos

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Related Experiment Videos

Last Updated: Mar 28, 2026

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy

Published on: July 29, 2021

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Single Particle Cryo-Electron Microscopy: From Sample to Structure

Published on: May 29, 2021

Area of Science:

Structural biology
Biophysics
Microscopy

Background:

Single particle electron microscopy (EM) is crucial for determining molecular structures.
Automated data collection is essential for efficient and high-throughput EM research.
Advancements in automation significantly impact the speed and quality of EM data acquisition.

Purpose of the Study:

To review and evaluate available software packages for automated data collection in single particle EM.
To assess the level of automation across different stages of the EM data collection process.
To identify and discuss emerging trends in automation for single particle EM.

Main Methods:

Comprehensive survey of current software solutions for automated EM data collection.
Evaluation of automation capabilities at each stage: sample loading, grid screening, data acquisition, and quality control.
Comparative analysis of software features and user interfaces.

Main Results:

Identified a range of software packages with varying degrees of automation for single particle EM.
Detailed the specific capabilities and limitations of each surveyed software.
Highlighted key areas where automation has been successfully implemented and areas for improvement.

Conclusions:

Software automation is critical for advancing single particle EM research.
The reviewed software packages offer significant improvements in data collection efficiency.
Future trends point towards increased integration and AI-driven automation in EM data acquisition.