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Related papers: Roadmap on Nanoscale Magnetic Resonance Imaging

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We propose a review of the current knowledge about the synthesis, magnetic properties and applications of magnetic cylindrical nanowires and nanotubes. By "nano" we consider diameters reasonably smaller than a micrometer. At this scale,…

Mesoscale and Nanoscale Physics · Physics 2018-12-19 Michal Stano , Olivier Fruchart

Medical Resonance Imaging or MRI is a medical image processing technique that used radio waves to scan the body. It is a tomographic imaging technique, principally used in the field of radiology. With the advantage of being a painless…

Computer Vision and Pattern Recognition · Computer Science 2021-03-30 Jacob John

The ongoing miniaturization in nanoscience and -technology challenges the sensitivity and selectivity of experimental analysis methods to the ultimate level of single atoms and molecules. A promising new approach, addressed here, focuses on…

Mesoscale and Nanoscale Physics · Physics 2014-03-28 Stefan Müllegger , Stefano Tebi , Amal K. Das , Wolfgang Schöfberger , Felix Faschinger , Reinhold Koch

Nuclear Magnetic Resonance (NMR) spectroscopy is a crucial analytical technique used for molecular structure elucidation, with applications spanning chemistry, biology, materials science, and medicine. However, the frequency resolution of…

Ferromagnetic resonance (FMR) spectroscopy is a powerful method for quantifying internal magnetic anisotropy fields in nanoparticles, which is important in a wide range of biomedical and storage applications. The interpretation of FMR…

Materials Science · Physics 2022-06-02 David Slay , Michalis Charilaou

This Perspective surveys the state-of-the-art and future prospects of science and technology employing the nanoconfined light (nanophotonics and nanoplasmonics) in combination with magnetism. We denote this field broadly as nanoscale…

Nuclear magnetic resonance (NMR) is a powerful tool for applications ranging from chemical analysis to quantum information processing. Achieving optical initialization and detection of molecular nuclear spins promises new opportunities -…

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

Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for the investigation of three-dimensional structures of biological molecules such as proteins. Determining a protein structure is essential for understanding its function…

Artificial Intelligence · Computer Science 2015-06-22 John Emmons , Steven Johnson , Timothy Urness , Adina Kilpatrick

Nitrogen vacancy (NV) centers in diamond have been used as ultrasensitive magnetometers to perform nuclear magnetic resonance (NMR) spectroscopy of statistically polarized samples at 1 - 100 nm length scales. However, the spectral linewidth…

This work demonstrates nanoscale magnetic imaging using bright circularly polarized high-harmonic radiation. We utilize the magneto-optical contrast of worm-like magnetic domains in a Co/Pd multilayer structure, obtaining quantitative…

Background: Magnetic Resonance Imaging (MRI) is a medical imaging technique that combines principles of physics, math, and engineering to look inside humans and animals, hence delivering a lifesaving technology. However, resource-poor…

Physics Education · Physics 2023-04-13 Gehua Tong , Rishi Ananth , John Thomas Vaughan, , Sairam Geethanath

The ability to perform nanometer-scale optical imaging and spectroscopy is key to deciphering the low-energy effects in quantum materials, as well as vibrational fingerprints in planetary and extraterrestrial particles, catalytic…

Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical diagnosis requires a comprehensive collation of biophysical data via multiple MRI contrasts, acquired using a series of RF sequences that…

Medical Physics · Physics 2025-12-24 Dinor Nagar , Moritz Zaiss , Or Perlman

Dynamic nuclear polarization (DNP) has revolutionized the field of NMR spectroscopy, expanding its reach and capabilities to investigate diverse materials, biomolecules, and complex dynamic processes. Bringing high-efficiency DNP to the…

Mesoscale and Nanoscale Physics · Physics 2024-02-27 Sahand Tabatabaei , Pritam Priyadarsi , Namanish Singh , Pardis Sahafi , Daniel Tay , Andrew Jordan , Raffi Budakian

The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years. Recent advances in machine learning have the potential to recognize and classify…

Image and Video Processing · Electrical Eng. & Systems 2019-04-01 Zhenwei Zhang , Ervin Sejdic

Quantum sensing exploits fundamental features of quantum mechanics and quantum control to realise sensing devices with potential applications in a broad range of scientific fields ranging from basic science to applied technology. The…

Mesoscale and Nanoscale Physics · Physics 2019-11-13 Wanlu Song , Tianyi Du , Haibin Liu , Martin B. Plenio , Jianming Cai

Nano-optic imagers that modulate light at sub-wavelength scales could unlock unprecedented applications in diverse domains ranging from robotics to medicine. Although metasurface optics offer a path to such ultra-small imagers, existing…

We demonstrate theoretically that by placing a ferromagnetic particle between a nitrogen-vacancy (NV) magnetometer and a target spin, the magnetometer sensitivity is increased dramatically. Specifically, using materials and techniques…

Mesoscale and Nanoscale Physics · Physics 2015-11-16 Luka Trifunovic , Fabio L. Pedrocchi , Silas Hoffman , Patrick Maletinsky , Amir Yacoby , Daniel Loss

What has happened in machine learning lately, and what does it mean for the future of medical image analysis? Machine learning has witnessed a tremendous amount of attention over the last few years. The current boom started around 2009 when…

Computer Vision and Pattern Recognition · Computer Science 2019-09-24 Alexander Selvikvåg Lundervold , Arvid Lundervold
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