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Daniel Schmidt

Researcher at German National Metrology Institute

Publications -  10
Citations -  60

Daniel Schmidt is an academic researcher from German National Metrology Institute. The author has contributed to research in topics: Magnetic particle imaging & Magnetic nanoparticles. The author has an hindex of 5, co-authored 10 publications receiving 55 citations.

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Interpreting the magnetorelaxometry signal of suspended magnetic nanoparticles with Kaczmarz’ algorithm

TL;DR: In this article, the performance of several implementations of Kaczmarz' algorithm is investigated for both simulated and measured magnetorelaxometry data, in the case of simulated data, or other size estimates determined with different methods such as thermal magnetic noise spectroscopy and dynamic light scattering.
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Finding the magnetic size distribution of magnetic nanoparticles from magnetization measurements via the iterative Kaczmarz algorithm

TL;DR: In this article, a new method based on the iterative Kaczmarz algorithm was proposed for the reconstruction of the size distribution of magnetic nanoparticles from magnetization measurements without a priori knowledge of the distribution form.

MPS and MRI efficacy of magnetosomes from wild-type and mutant bacterial strains

TL;DR: This study investigates the potential of bacterial magnetosomes, extracted from wild-type bacteria of the strain Magnetospirillum gryphiswaldense and various mutants thereof, as new tracer materials for MPI and investigates their suitability as Magnetic Resonance Imaging agents.

Imaging Characterization of MPI Tracers Employing Offset Measurements in a two Dimensional Magnetic Particle Spectrometer

TL;DR: The characterization method provides a valuable link between pure spectroscopic characterization and time consuming MPI phantom experiments and might help predicting the image resolution for real MPI setups.
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A Phenomenological Description of the MPS Signal Using a Model for the Field Dependence of the Effective Relaxation Time

TL;DR: In this paper, a new approach to describe the magnetic particle spectroscopy (MPS) signal is presented, which is based on Shliomis' effective field method.