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

You might also read

Related Articles

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

Sort by
Same author

How the Electrochemical Double Layer Manipulates Molecule-Metal Interactions.

ACS nano·2026
Same author

Surface-Selective Molecular Binding and Replacement Selectivity in Plasmonic Nanocavities.

The journal of physical chemistry letters·2026
Same author

The optical nose: Monolayer sensitization of Au surfaces for plasmonic gas sensing.

Science advances·2026
Same author

Engineering low-symmetry colloidal crystals with optical anisotropies.

Science advances·2026
Same author

Synthesis of gold nanorod@Pd(Pt)-Cu<sub>2</sub>O dendritic nanocomposites for plasmon-enhanced photocatalysis.

Journal of colloid and interface science·2026
Same author

An equilibrium rotator glass-forming phase for long-ranged repulsive colloidal rods.

Nature communications·2026

Related Experiment Video

Updated: Mar 29, 2026

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

2.3K

Quantitative 3D analysis of huge nanoparticle assemblies.

Daniele Zanaga1, Folkert Bleichrodt2, Thomas Altantzis1

  • 1EMAT, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium. sara.bals@uantwerpen.be.

Nanoscale
|November 27, 2015
PubMed
Summary

A new quantitative Sparse Sphere Reconstruction method enhances 3D electron tomography for nanoparticle assemblies. This technique accurately counts and positions thousands of particles, even with limited data, improving reconstruction quality.

More Related Videos

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
09:19

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Published on: March 28, 2021

9.9K
Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.6K

Related Experiment Videos

Last Updated: Mar 29, 2026

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders
10:10

Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders

Published on: December 4, 2020

2.3K
Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles
09:19

Nanoparticle Tracking Analysis for the Quantification and Size Determination of Extracellular Vesicles

Published on: March 28, 2021

9.9K
Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy
13:15

Quantitative and Qualitative Examination of Particle-particle Interactions Using Colloidal Probe Nanoscopy

Published on: July 18, 2014

11.6K

Area of Science:

  • Materials Science
  • Nanotechnology
  • Biophysics

Background:

  • Electron tomography is crucial for 3D nanoparticle assembly analysis.
  • Quantitative analysis of particle number and position is challenging, especially for large assemblies.
  • Existing methods struggle with complex structures and beam-sensitive samples.

Purpose of the Study:

  • To develop a novel quantitative approach for reconstructing nanoparticle assemblies in 3D.
  • To improve the accuracy and detail of electron tomography reconstructions.
  • To enable analysis of large and beam-sensitive nanoparticle assemblies.

Main Methods:

  • Developed a quantitative Sparse Sphere Reconstruction (QSSR) approach.
  • Incorporated prior knowledge of individual particle shapes into the reconstruction process.
  • Applied the method to complex nanoparticle assemblies.

Main Results:

  • Significantly improved reconstruction quality of complex nanoparticle assemblies.
  • Directly yielded particle count and precise 3D positions as reconstruction output.
  • Successfully analyzed assemblies containing up to 10,000 particles.
  • Enabled reconstruction from a limited number of projections, preserving beam-sensitive samples.

Conclusions:

  • The QSSR approach offers a powerful tool for quantitative 3D analysis of nanoparticle assemblies.
  • This method overcomes limitations of traditional electron tomography for complex and sensitive samples.
  • Opens new avenues for studying nanoparticle behavior and interactions in 3D.