A new method for obtaining the magnetic shape anisotropy directly from electron tomography images.
Python
electron tomography
magnetite
shape anisotropy
Journal
Beilstein journal of nanotechnology
ISSN: 2190-4286
Titre abrégé: Beilstein J Nanotechnol
Pays: Germany
ID NLM: 101551563
Informations de publication
Date de publication:
2022
2022
Historique:
received:
28
01
2022
accepted:
23
06
2022
entrez:
25
7
2022
pubmed:
26
7
2022
medline:
26
7
2022
Statut:
epublish
Résumé
A new methodology to obtain magnetic information on magnetic nanoparticle (MNP) systems via electron tomography techniques is reported in this work. The new methodology is implemented in an under-development software package called Magn3t, written in Python and C++. A novel image-filtering technique that reduces the highly undesired diffraction effects in the tomography tilt-series has been also developed in order to increase the reliability of the correlations between morphology and magnetism. Using the Magn3t software, the magnetic shape anisotropy magnitude and direction of magnetite nanoparticles has been extracted for the first time directly from transmission electron tomography.
Identifiants
pubmed: 35874438
doi: 10.3762/bjnano.13.51
pmc: PMC9273981
doi:
Types de publication
Journal Article
Langues
eng
Pagination
590-598Informations de copyright
Copyright © 2022, Radu et al.
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