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

X-ray Crystallography02:18

X-ray Crystallography

25.6K
The size of the unit cell and the arrangement of atoms in a crystal may be determined from measurements of the diffraction of X-rays by the crystal, termed X-ray crystallography.
Diffraction
Diffraction is the change in the direction of travel experienced by an electromagnetic wave when it encounters a physical barrier whose dimensions are comparable to those of the wavelength of the light. X-rays are electromagnetic radiation with wavelengths about as long as the distance between neighboring...
25.6K
X-ray Diffraction of Biological Samples01:10

X-ray Diffraction of Biological Samples

4.6K
X-ray diffraction or XRD is an analytical tool that utilizes X-rays to study ordered structures such as crystalline organic and inorganic samples, polycrystalline materials, proteins, carbohydrates, and drugs.
According to Bragg's law, when X-rays strike the sample positioned on a stage, the rays are  scattered by the electron clouds around the sample atoms. The  X-ray diffraction or scattering is caused by constructive interference of the X-ray waves that reflect off the internal...
4.6K
Cryo-electron Microscopy01:28

Cryo-electron Microscopy

4.1K
Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
4.1K
Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

2.8K
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...
2.8K

You might also read

Related Articles

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

Sort by
Same author

Ultrasensitive soft vibration sensors based on atomically thin metal dichalcogenide ribbon networks.

Science advances·2026
Same author

Changes in the Neighborhood Built Environment and Chronic Health Conditions in Washington, DC, in 2014-2019: Longitudinal Analysis.

JMIR formative research·2025
Same author

Tutorial on In Situ and <i>Operando</i> (Scanning) Transmission Electron Microscopy for Analysis of Nanoscale Structure-Property Relationships.

ACS nano·2024
Same author

Alkali cation stabilization of defects in 2D MXenes at ambient and elevated temperatures.

Nature communications·2024
Same author

Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

American journal of epidemiology·2024
Same author

Direct Fabrication of Atomically Defined Pores in MXenes Using Feedback-Driven STEM.

Small methods·2024
Same journal

Erratum for the Research Article "Assessing the health risks of rice cadmium content standards in China" by H. Chu <i>et al</i>.

Science advances·2026
Same journal

Erratum for the Research Article "Developmental regulation of Erk signaling by mitotic kinases" by F. Chen <i>et al</i>.

Science advances·2026
Same journal

Magnetically levitated metasurface enabling tangible and bidirectional human-machine interaction.

Science advances·2026
Same journal

A general photoinduced manganese-catalyzed platform for the sequential difunctionalization of [1.1.1]propellane.

Science advances·2026
Same journal

Turning sound and force into light with AlN:Mn<sup>2+</sup> mechanoluminescence.

Science advances·2026
Same journal

Extreme dominance of Earth-origin heavy ions in the intense ring current near the Earth during the May 2024 super geomagnetic storm.

Science advances·2026
See all related articles

Related Experiment Video

Updated: Dec 30, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.4K

Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning.

J A Aguiar1, M L Gong1,2, R R Unocic3

  • 1Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID, USA.

Science Advances
|January 25, 2020
PubMed
Summary
This summary is machine-generated.

A new deep learning model reliably classifies crystal structures using transmission electron microscopy data. This machine learning approach enhances diffraction analysis for materials science research.

More Related Videos

On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
07:42

On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature

Published on: March 11, 2022

2.2K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

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

Published on: July 29, 2021

3.9K

Related Experiment Videos

Last Updated: Dec 30, 2025

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
10:25

Deep Learning-Based Segmentation of Cryo-Electron Tomograms

Published on: November 11, 2022

10.4K
On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature
07:42

On-Chip Crystallization and Large-Scale Serial Diffraction at Room Temperature

Published on: March 11, 2022

2.2K
User-friendly, High-throughput, and Fully Automated Data Acquisition Software for Single-particle Cryo-electron Microscopy
07:56

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

Published on: July 29, 2021

3.9K

Area of Science:

  • Materials Science
  • Crystallography
  • Machine Learning

Background:

  • Machine learning is underutilized in transmission electron microscopy.
  • Accurate crystal structure classification is crucial for materials analysis.

Purpose of the Study:

  • To develop a convolutional neural network for reliable crystal structure classification.
  • To address the underuse of machine learning in transmission electron microscopy.

Main Methods:

  • Trained a convolutional neural network on 571,340 diffraction patterns across 230 space groups.
  • Utilized electron images and diffraction patterns with no preferred orientation.
  • Benchmarked the model against alloys and two-dimensional materials.

Main Results:

  • The model achieved high confidence in narrowing down space groups, even with imbalanced data.
  • Achieved over 70% confidence in worst-case scenarios and up to 95% in common cases.
  • Successfully cross-validated against high-resolution transmission electron images and diffraction patterns.

Conclusions:

  • The developed deep learning model is a powerful tool for crystal structure classification.
  • This convolutional neural network advances diffraction analysis in materials science.
  • Presents a novel deep learning application for transmission electron microscopy data analysis.