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...

You might also read

Related Articles

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

Sort by

Same author

Molecular dynamics simulation of high slip flow of water confined between graphene nanochannels at experimentally accessible shear rates.

The Journal of chemical physics·2026

Same author

The embryonic origins of site-specific arthritis.

Nature immunology·2026

Same author

<i>In situ</i> monitoring of a metal recovery process using dual imaging and diffraction.

Chemical communications (Cambridge, England)·2026

Same author

o-Toluidine and its metabolites induce oxidative and nitrative DNA damage in human urinary bladder epithelial cells.

Archives of toxicology·2026

Same author

The design of a low-cost 3D printed flow cell for synchrotron computed microtomography.

Journal of synchrotron radiation·2026

Same author

The moving-beam diffraction geometry: the DIAD application of a diffraction scanning probe.

Journal of applied crystallography·2026

Same journal

Dataset of Optimized Structures of Aliphatic Chains Chemisorbed on Si(110) and Si(111) Surfaces via First-Principles Methods.

Scientific data·2026

Same journal

EURO-PROBE - Manual segmentations of the prostate and intraprostatic urethra on T2-weighted MRI.

Scientific data·2026

Same journal

Chromosome-Level Genome Assembly of Southern Africa Mozambique Tilapia (Oreochromis mossambicus) using PacBio HiFi and Omni-C sequencing.

Scientific data·2026

Same journal

Ovarian Stainology: Database of evidence-based immunohistochemical antigen expression in ovarian tumors.

Scientific data·2026

Same journal

A dataset of small protein conformational ensembles from all-atom molecular dynamics simulations.

Scientific data·2026

Same journal

A real-world Fitbit-derived dataset of activity, sleep, and heart rate with matched clinical factors in on-treatment lung cancer patients.

Scientific data·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 26, 2025

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Published on: May 27, 2008

Three-dimensional, multimodal synchrotron data for machine learning applications.

Calum Green^1,2, Sharif Ahmed³, Shashidhara Marathe³

¹Imperial College London, Department of Mechanical Engineering, London, SW7 2AZ, UK. cg1417@ic.ac.uk.

Scientific Data

|February 24, 2025

Summary

This summary is machine-generated.

A new multimodal synchrotron dataset of zinc-doped Zeolite 13X is released. This unique 3D dataset supports the development of advanced machine learning algorithms for imaging data fusion and reconstruction.

More Related Videos

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Related Experiment Videos

Last Updated: May 26, 2025

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Non-invasive 3D-Visualization with Sub-micron Resolution Using Synchrotron-X-ray-tomography

Published on: May 27, 2008

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

Published on: April 13, 2016

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Area of Science:

Materials Science
Data Science
Scientific Imaging

Background:

Machine learning (ML) is increasingly used in scientific imaging, but requires high-quality training data.
Developing advanced ML tools for multimodal imaging data presents a significant challenge due to data limitations.

Purpose of the Study:

To present a unique, multimodal synchrotron dataset for developing ML algorithms.
To provide a resource for advancing deep learning and data fusion techniques in scientific imaging.

Main Methods:

Multi-resolution micro X-ray computed tomography (CT) was used to characterize zeolite pores.
Spatially resolved X-ray diffraction computed tomography (XRD-CT) mapped sodium and zinc phases.
Controlled zinc absorption created a distinct two-phase material for analysis.

Main Results:

A spatially resolved, 3D, multimodal, multi-resolution dataset was generated.
The dataset features a bespoke zinc-doped Zeolite 13X sample.
Both raw and processed data are publicly available through Zenodo.

Conclusions:

The dataset facilitates the development of novel ML techniques.
Applications include super-resolution, multimodal data fusion, and 3D reconstruction algorithms.
This resource advances ML applications in materials science and medical/physical imaging.