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Magnetic Particle Imaging (MPI) is a promising tomographic modality using magnetic nanoparticles (MNP) as probes for diagnostic purposes in biomedicine. The MPI signal quality crucially depends on the magnetic properties of the MNP as well as on the influence of the surrounding biological environment. Therefore, different physiological parameters like pH-value, salt concentration, mobility may have...
If a sample of magnetic nanoparticles (MNP) contains two groups of different mean size, (as is the case for, e.g., Resovist®[1]), bimodal fit from M(H) measurement data may reveal the bimodality. However this estimation may fail if the mean particle size of the two groups is too similar. Here we suggest magnetic separation as a useful tool for analyzing such MNP samples. To this end, we have implemented...
Currently, one of the main issues to improve the image quality of Magnetic Particle Imaging (MPI), besides the development of applicable MPI scanner systems and reconstruction methods, is the improvement of magnetic properties of magnetic nanoparticles (MNP), the so-called MPI tracer. Optimized tracers potentially enhance mass sensitivity and spatial resolution of MPI and may be the key for successful...
Cell-labeling with very small superparamagnetic iron oxide nanoparticles (VSOP) for MRI cell tracking requires methods for reliably assessment of labeling efficacy prior to the in-vivo application. Magnetic particle spectroscopy (MPS) enables sensitive and specific detection of nanoparticles in biological systems. Here, it has been used to quantify the cellular uptake of iron oxide nanoparticles....