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Energy Dispersive X-ray Tomography for 3D Elemental Mapping of Individual Nanoparticles

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Published on: July 5, 2016

Reverse Monte Carlo reconstruction algorithm for discrete electron tomography based on HAADF-STEM atom counting.

F Moyon¹, D Hernandez-Maldonado², M D Robertson³

¹Normandie Univ, UNIROUEN, INSA Rouen, CNRS, Groupe de Physique des Matériaux, Rouen, France.

Journal of Microscopy

|September 21, 2016

Summary

This summary is machine-generated.

We developed a new atom counting algorithm for 3D nanoparticle reconstruction. This method successfully locates atoms in simulations using just three zone-axis projections from scanning transmission electron microscopes.

Keywords:

Atom counting HAADF Monte Carlo simulation atomic reconstruction electron tomography quantitative electron microscopy

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Area of Science:

Materials Science
Nanotechnology
Electron Microscopy

Background:

Accurate three-dimensional (3D) reconstruction of nanoparticles is crucial for understanding their properties.
Traditional methods can be complex and require extensive data acquisition.

Purpose of the Study:

To propose a novel algorithm for 3D nanoparticle reconstruction using atom counting.
To demonstrate the feasibility of this method with limited projection data.

Main Methods:

Utilizing atom counting as the core principle for reconstruction.
Simulating high-angle annular dark-field (HAADF) images.
Employing only three specific zone-axis projections ([110], [310], [211]) for a face-centered cubic particle.

Main Results:

Successfully achieved three-dimensional atom localization.
Demonstrated accurate reconstruction from a minimal set of projections.
Validated the method's applicability with commonly accessible orientations in scanning transmission electron microscopy (STEM).

Conclusions:

The proposed atom counting algorithm offers an efficient approach for 3D nanoparticle reconstruction.
This method simplifies data requirements, making 3D analysis more accessible.
The technique holds promise for advancing nanoscale materials characterization.