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2021
DOI: 10.35784/iapgos.2456
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The System for Complex Magnetic Susceptibility Measurement of Nanoparticles With 3d Printed Carcass for Integrated Receive Coils

Abstract: The article concerns the research on the properties of core-shell superparamagnetic nanoparticles in the context of their use in medicine for diagnostics and therapy. The article presents a system for impedance (AC) spectroscopy of nanoparticles with a new arrangement of receive coils. A significant modification was the position of the reference coil in relation to the receive coils as well as the method of winding and routing the wires on the carcass. The 3D printing technique was used in the production of th… Show more

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Cited by 5 publications
(4 citation statements)
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“…Electrical impedance tomography [32,33], generally called electrical tomography (ET) [34,35], includes some image reconstruction techniques. The methods available in the literature are electrical resistance tomography (ERT) [36,37], electrical capacitance tomography (ECT) [38][39][40][41] and electrical impedance tomography. ECT is based on the reconstruction of the electrical permeability ε, whereas EIT is based on the reconstruction of the conductivity γ.…”
Section: Electrical Tomographymentioning
confidence: 99%
“…Electrical impedance tomography [32,33], generally called electrical tomography (ET) [34,35], includes some image reconstruction techniques. The methods available in the literature are electrical resistance tomography (ERT) [36,37], electrical capacitance tomography (ECT) [38][39][40][41] and electrical impedance tomography. ECT is based on the reconstruction of the electrical permeability ε, whereas EIT is based on the reconstruction of the conductivity γ.…”
Section: Electrical Tomographymentioning
confidence: 99%
“…However, there are several methods that can reduce the size of B [1,2]. Although these methods make it easier to obtain the inverse of the matrix A, the resolution needed to correctly recognize the shape and size of the measured object is still insufficient [3][4][5][6][7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…The solutions presented in these publications were mainly based on traditional computer vision techniques, including the images filtered by Gabor filters [15], fast Haar transforms (FHT), and fast Fourier transforms [16] or edge detection schemes [14,17]. However, in the literature, machine learning is arousing more and more interest [18], where various solutions are used, including support vector machines, k-nearest neighbours algorithm, logistic regression, artificial neural networks (ANN) [19][20][21][22]. It can also be seen in detect defects related to the categorization of pictures.…”
Section: Introductionmentioning
confidence: 99%