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Magnetic particle mapping using magnetoelectric sensors as an imaging modality
Magnetic nanoparticles (MNPs) are a hot topic in the field of medical life sciences, as they are highly relevant in diagnostic applications. In this regard, a large variety of novel imaging methods for MNP in biological systems have been invented. In this proof-of-concept study, a new and novel tech...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375992/ https://www.ncbi.nlm.nih.gov/pubmed/30765847 http://dx.doi.org/10.1038/s41598-018-38451-0 |
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author | Friedrich, Ron-Marco Zabel, Sebastian Galka, Andreas Lukat, Nils Wagner, Jan-Martin Kirchhof, Christine Quandt, Eckhard McCord, Jeffrey Selhuber-Unkel, Christine Siniatchkin, Michael Faupel, Franz |
author_facet | Friedrich, Ron-Marco Zabel, Sebastian Galka, Andreas Lukat, Nils Wagner, Jan-Martin Kirchhof, Christine Quandt, Eckhard McCord, Jeffrey Selhuber-Unkel, Christine Siniatchkin, Michael Faupel, Franz |
author_sort | Friedrich, Ron-Marco |
collection | PubMed |
description | Magnetic nanoparticles (MNPs) are a hot topic in the field of medical life sciences, as they are highly relevant in diagnostic applications. In this regard, a large variety of novel imaging methods for MNP in biological systems have been invented. In this proof-of-concept study, a new and novel technique is explored, called Magnetic Particle Mapping (MPM), using resonant magnetoelectric (ME) sensors for the detection of MNPs that could prove to be a cheap and efficient way to localize the magnetic nanoparticles. The simple and straightforward setup and measurement procedure includes the detection of higher harmonic excitations of MNP ensembles. We show the feasibility of this approach by building a measurement setup particularly suited to exploit the inherent sensor properties. We measure the magnetic response from 2D MNP distributions and reconstruct the distribution by solving the inverse problem. Furthermore, biological samples with magnetically labeled cells were measured and reconstruction of the distribution was compared with light microscope images. Measurement results suggest that the approach presented here is promising for MNP localization. |
format | Online Article Text |
id | pubmed-6375992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63759922019-02-19 Magnetic particle mapping using magnetoelectric sensors as an imaging modality Friedrich, Ron-Marco Zabel, Sebastian Galka, Andreas Lukat, Nils Wagner, Jan-Martin Kirchhof, Christine Quandt, Eckhard McCord, Jeffrey Selhuber-Unkel, Christine Siniatchkin, Michael Faupel, Franz Sci Rep Article Magnetic nanoparticles (MNPs) are a hot topic in the field of medical life sciences, as they are highly relevant in diagnostic applications. In this regard, a large variety of novel imaging methods for MNP in biological systems have been invented. In this proof-of-concept study, a new and novel technique is explored, called Magnetic Particle Mapping (MPM), using resonant magnetoelectric (ME) sensors for the detection of MNPs that could prove to be a cheap and efficient way to localize the magnetic nanoparticles. The simple and straightforward setup and measurement procedure includes the detection of higher harmonic excitations of MNP ensembles. We show the feasibility of this approach by building a measurement setup particularly suited to exploit the inherent sensor properties. We measure the magnetic response from 2D MNP distributions and reconstruct the distribution by solving the inverse problem. Furthermore, biological samples with magnetically labeled cells were measured and reconstruction of the distribution was compared with light microscope images. Measurement results suggest that the approach presented here is promising for MNP localization. Nature Publishing Group UK 2019-02-14 /pmc/articles/PMC6375992/ /pubmed/30765847 http://dx.doi.org/10.1038/s41598-018-38451-0 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Friedrich, Ron-Marco Zabel, Sebastian Galka, Andreas Lukat, Nils Wagner, Jan-Martin Kirchhof, Christine Quandt, Eckhard McCord, Jeffrey Selhuber-Unkel, Christine Siniatchkin, Michael Faupel, Franz Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title | Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title_full | Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title_fullStr | Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title_full_unstemmed | Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title_short | Magnetic particle mapping using magnetoelectric sensors as an imaging modality |
title_sort | magnetic particle mapping using magnetoelectric sensors as an imaging modality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6375992/ https://www.ncbi.nlm.nih.gov/pubmed/30765847 http://dx.doi.org/10.1038/s41598-018-38451-0 |
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