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Related papers: Analysing Magnetism Using Scanning SQUID Microscop…

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In the fields of nanoscience and nanotechnology, it is important to be able to functionalize surfaces chemically for a wide variety of applications. Scanning tunneling microscopes (STMs) are important instruments in this area used to…

Computer Vision and Pattern Recognition · Computer Science 2018-04-25 Bui Kevin , Fauman Jacob , Kes David , Torres Mandiola Leticia , Ciomaga Adina , Salazar Ricardo , Bertozzi L. Andrea , Gilles Jerome , Guttentag I. Andrew , Weiss S. Paul

Simultaneous multislice (SMS) imaging is a one of the acceleration technique of magnetic resonance imaging. SMS requires accurate sensitivity distributions in the slice plane for each receiving coil. This requirement is difficult to satisfy…

Medical Physics · Physics 2024-03-04 Satoshi Ito , Yuki Sato , Naoya Endo , Shohei Ouchi

Learning meaningful and interpretable representations from high-dimensional volumetric magnetic resonance (MR) images is essential for advancing personalized medicine. While Vision Transformers (ViTs) have shown promise in handling image…

Computer Vision and Pattern Recognition · Computer Science 2024-09-13 Qingqiao Hu , Daoan Zhang , Jiebo Luo , Zhenyu Gong , Benedikt Wiestler , Jianguo Zhang , Hongwei Bran Li

In this paper, we review the quantum mechanics of magnetic resonance imaging (MRI). We traverse its hierarchy of scales from the spin and orbital angular momentum of subatomic particles to the ensemble magnetization of tissue. And we review…

Medical Physics · Physics 2012-10-04 Stephen G. Odaibo

Magnetic resonance force microscopy (MRFM) is a scanning probe technique capable of detecting MRI signals from nanoscale sample volumes, providing a paradigm-changing potential for structural biology and medical research. Thus far, however,…

Micromagnetic tomography aims at reconstructing large numbers of individual magnetizations of magnetic particles from combining high-resolution magnetic scanning techniques with micro X-ray computed tomography (microCT). Previous work…

Geophysics · Physics 2021-05-05 David Cortés-Ortuño , Karl Fabian , Lennart V. de Groot

We developed a scanning DC SQUID microscope with novel readout electronics capable of wideband sensing RF magnetic fields from 50 to 200 MHz and simultaneously providing closed-loop response at kHz frequencies. To overcome the 20 MHz…

The magnetic domain configuration of a system reveals a wealth of information about the fundamental magnetic properties of that system and can be a critical factor in the operation of magnetic devices. Not only are the details of the domain…

Mesoscale and Nanoscale Physics · Physics 2018-07-02 Robert M. Reeve , Hans-Joachim Elmers , Felix Büttner , Mathias Kläui

Since the invention of the atomic force microscope (AFM) in 1986, there has been a drive to apply this scanning probe technique or a form of this technique to various disciplines in nanoscale science. Magnetic force microscopy (MFM) is a…

Instrumentation and Detectors · Physics 2017-04-28 Gustavo Cordova , Brenda Yasie Lee , Zoya Leonenko

Super-resolution fluorescence microscopy is of great interest in life science studies for visualizing subcellular structures at the nanometer scale. Among various kinds of super-resolution approaches, image scanning microscopy (ISM) offers…

Introduction: Quantitative Susceptibility Mapping (QSM) is generally acquired with full brain coverage, even though many QSM brain-iron studies focus on the deep grey matter (DGM) region only. Reducing the spatial coverage to the DGM…

Quantitative Methods · Quantitative Biology 2021-06-02 Xuanyu Zhu , Yang Gao , Feng Liu , Stuart Crozier , Hongfu Sun

Deep neural networks have demonstrated promising potential for the field of medical image reconstruction. In this work, an MRI reconstruction algorithm, which is referred to as quantitative susceptibility mapping (QSM), has been developed…

Image and Video Processing · Electrical Eng. & Systems 2018-06-18 Jaeyeon Yoon , Enhao Gong , Itthi Chatnuntawech , Berkin Bilgic , Jingu Lee , Woojin Jung , Jingyu Ko , Hosan Jung , Kawin Setsompop , Greg Zaharchuk , Eung Yeop Kim , John Pauly , Jongho Lee

The technique of spin-polarized scanning tunneling microscopy is investigated for its use in determining fine details of surface magnetic structure down to the atomic scale. As a model sample, the row-wise anti-ferromagnetic Mn3N2(010)…

Materials Science · Physics 2009-11-11 Rong Yang , Haiqiang Yang , Arthur R. Smith , Alexey Dick , Jorg Neugebauer

Scanning tunnelling microscopy (STM) with a functionalized tip apex reveals the geometric and electronic structure of a sample within the same experiment. However, the complex nature of the signal makes images difficult to interpret and has…

Materials Science · Physics 2023-12-18 Lauri Kurki , Niko Oinonen , Adam S. Foster

Magnetic fields play an important role in shaping the structure and evolution of the interstellar medium (ISM) of galaxies, but the details of this relationship remain unclear. With SKA1, the 3D structure of galactic magnetic fields and its…

Multi-tip scanning tunneling microscopy (STM) is a powerful method to perform charge transport measurements at the nanoscale. With four STM tips positioned on the surface of a sample, four-point resistance measurements can be performed in…

Mesoscale and Nanoscale Physics · Physics 2022-01-28 A. Leis , V. Cherepanov , B. Voigtländer , F. S. Tautz

We have designed and characterized a micro-SQUID with dispersive readout for use in low temperature scanning probe microscopy systems. The design features a capacitively shunted RF SQUID with a tunable resonance frequency from 5 to 12 GHz,…

Statistical shape modeling (SSM) characterizes anatomical variations in a population of shapes generated from medical images. SSM requires consistent shape representation across samples in shape cohort. Establishing this representation…

Computer Vision and Pattern Recognition · Computer Science 2022-03-17 Riddhish Bhalodia , Shireen Elhabian , Jadie Adams , Wenzheng Tao , Ladislav Kavan , Ross Whitaker

Scanning Electron Microscopy (SEM) is critical in nanotechnology, materials science, and biological imaging due to its high spatial resolution and depth of focus. Signal-to-noise ratio (SNR) is an essential parameter in SEM because it…

Machine Learning · Computer Science 2025-10-10 K. S. Sim , I. Bukhori , D. C. Y. Ong , K. B. Gan

Statistical shape modeling (SSM) has recently taken advantage of advances in deep learning to alleviate the need for a time-consuming and expert-driven workflow of anatomy segmentation, shape registration, and the optimization of…

Computer Vision and Pattern Recognition · Computer Science 2020-07-14 Jadie Adams , Riddhish Bhalodia , Shireen Elhabian
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