Publication
Title
EMAT Simulated 3D Nanoparticle Structures Dataset
Author
Abstract
This dataset contains 1000 simulated nanoparticle-like 3D structures and noisy EDX-like elemental maps based on them. These data are intended to be used for quantitative analysis of data processing methods in (EDX) tomography of nanoparticles and training the data-driven approaches for these tasks. The dataset is structured as follows: voxel_data/clean 3D voxel grid representation of the simulated nanoparticles. Voxel intensities are adjusted so that the total intensity equals 103. All 3D structures have unique identifiers in 0..999 range. The data derived from a 3D structure preserves this unique identifier. sinograms/clean Tilt series of projection images obtained from the corresponding 3D structures over an angular range of -75..75 degrees with a tilt step of 10 degrees to simulate a typical tilt series used in EDX tomography. Total intensity in each projection image equals 103. sinograms/noisy Tilt series of projection images corrupted with Poisson noise and an additional spatially uniform background noise. projections/clean Projection images extracted from the clean tilt series at 0 degrees tilt angle. projections/noisy Projection images extracted from the noisy tilt series at 0 degrees tilt angle. images/clean Visualizations of the clean projections as PNG images with the intensity range adjusted to 0..255 images/noisy Visualizations of the noisy projections as PNG images with the intensity range adjusted to 0..255
Language
English
Related publication(s)
Publication
Zenodo , 2021
DOI
10.5281/ZENODO.4580545
Volume/pages
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Project info
EUSMI: European infrastructure for spectroscopy, scattering and imaging of soft matter
European infrastructure for spectroscopy, scattering and imaging of soft matteer (EUSMI).
Correlating the 3D atomic structure of metal anisotropic nanoparticles with their optical properties (SOPMEN).
3D Structure of nanomaterials under realistic conditions (REALNANO).
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Record
Identifier
Creation 30.08.2021
Last edited 28.03.2024
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