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Counting cells in motion by quantitative real-time magnetic particle imaging
Amani Remmo1, Olaf Kosch2, Lena Kampen3,4,5
1Physikalisch-Technische Bundesanstalt, Abbestr. 2-12, 10587, Berlin, Germany. amani.remnmo@ptb.de.
Scientific Reports
|February 20, 2024
Summary
Magnetic Particle Imaging (MPI) enables real-time, radiation-free tracking of magnetic nanoparticle-loaded cells. This study successfully demonstrated quantitative cell tracking, achieving 95% accuracy in a phantom environment.
Area of Science:
- Biomedical Imaging
- Nanotechnology
- Cellular Biology
Background:
- Magnetic Particle Imaging (MPI) offers advanced visualization and quantification of magnetic nanoparticles (MNPs).
- Existing imaging techniques (CT, PET, MRI) have limitations in penetration depth, radiation exposure, resolution, and quantification accuracy.
- MPI presents a radiation-free alternative for tracking MNP-loaded cells with precise quantification.
Purpose of the Study:
- To establish and demonstrate real-time quantitative tracking of MNP-loaded cells using MPI.
- To evaluate the performance of different MNP systems for cellular tracking via MPI.
- To assess the accuracy and feasibility of MPI for in vivo cell migration studies.
Main Methods:
- THP-1 monocytes were loaded with three distinct magnetic nanoparticle (MNP) systems, including Resovist and Synomag.
- Real-time MPI experiments were conducted to observe the behavior of MNP-loaded cells.
- Quantitative imaging was achieved through time-resolved cell number determination and comparison with known cell counts.
Main Results:
- Real-time MPI experiments revealed varying resolution behaviors for the three MNP systems post-cellular uptake.
- Successful real-time quantitative imaging of MNP-loaded cells was achieved.
- Approximately 95% of inserted cells were accurately tracked within a controlled phantom environment.
Conclusions:
- This study successfully demonstrates real-time quantitative tracking of MNP-loaded cells using MPI.
- MPI shows significant potential for investigating cell migration and tissue interactions in vivo.
- The findings pave the way for advanced cellular tracking applications in preclinical research.
