Counting cells in motion by quantitative real-time magnetic particle imaging.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
21 Feb 2024
Historique:
received: 17 11 2023
accepted: 16 02 2024
medline: 21 2 2024
pubmed: 21 2 2024
entrez: 20 2 2024
Statut: epublish

Résumé

Magnetic Particle Imaging (MPI) is an advanced and powerful imaging modality for visualization and quantitative real-time detection of magnetic nanoparticles (MNPs). This opens the possibility of tracking cells in vivo once they have been loaded by MNPs. Imaging modalities such as optical imaging, X-ray computed tomography (CT), positron emission tomography (PET), single photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI) face limitations, from depth of penetration and radiation exposure to resolution and quantification accuracy. MPI addresses these challenges, enabling radiation-free tracking of MNP-loaded cells with precise quantification. However, the real-time tracking of MNP-loaded cells with MPI has not been demonstrated yet. This study establishes real-time quantitative tracking of MNP-loaded cells. Therefore, THP-1 monocytes were loaded with three different MNP systems, including the MPI gold standard Resovist and Synomag. The real-time MPI experiments reveal different MPI resolution behaviors of the three MNP systems after cellular uptake. Real-time quantitative imaging was achieved by time-resolved cell number determination and comparison with the number of inserted cells. About 95% of the inserted cells were successfully tracked in a controlled phantom environment. These results underline the potential of MPI for real-time investigation of cell migration and interaction with tissue in vivo.

Identifiants

pubmed: 38378785
doi: 10.1038/s41598-024-54784-5
pii: 10.1038/s41598-024-54784-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4253

Subventions

Organisme : Deutsche Forschungsgemeinschaft
ID : CellMPI (455706279)
Organisme : Deutsche Forschungsgemeinschaft
ID : CellMPI (455706279)
Organisme : Deutsche Forschungsgemeinschaft
ID : CellMPI (455706279)
Organisme : Sonderforschungsbereich
ID : SFB 1340/2 2022, no 322486779, projects A02 and B02
Organisme : Sonderforschungsbereich
ID : SFB 1340/2 2022, no 322486779, projects A02 and B02
Organisme : Sonderforschungsbereich
ID : SFB 1340/2 2022, no 322486779, projects A02 and B02

Informations de copyright

© 2024. The Author(s).

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Auteurs

Amani Remmo (A)

Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587, Berlin, Germany. amani.remnmo@ptb.de.

Olaf Kosch (O)

Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587, Berlin, Germany.

Lena Kampen (L)

Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Charitéplatz 1, 10117, Berlin, Germany.
Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universitätzu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.

Antje Ludwig (A)

Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Charitéplatz 1, 10117, Berlin, Germany.
Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universitätzu Berlin, Charitéplatz 1, 10117, Berlin, Germany.
DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, Berlin, Germany.

Frank Wiekhorst (F)

Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587, Berlin, Germany.

Norbert Löwa (N)

Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587, Berlin, Germany.

Classifications MeSH