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Related papers: Roadmap on Nanoscale Magnetic Resonance Imaging

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Medical image segmentation is an increasingly popular area of research in medical imaging processing and analysis. However, many researchers who are new to the field struggle with basic concepts. This tutorial paper aims to provide an…

Image and Video Processing · Electrical Eng. & Systems 2023-04-13 Diedre Carmo , Gustavo Pinheiro , Lívia Rodrigues , Thays Abreu , Roberto Lotufo , Letícia Rittner

Nuclear magnetic resonance (NMR) at the single-molecule level with atomic resolution holds transformative potential for structural biology and surface chemistry. Near-surface solid-state spin sensors with optical readout ability offer a…

Quantum Physics · Physics 2025-12-12 Yu Chen , Qi Zhang , Yuanhong Teng , Chihang Luo , Zhijie Li , Jinpeng Liu , Ya Wang , Fazhan Shi , Jiangfeng Du

We implement magnetic resonance force microscopy (MRFM) in an experimental geometry, where the long axis of the cantilever is normal to both the external magnetic field and the RF microwire source. Measurements are made of the statistical…

Mesoscale and Nanoscale Physics · Physics 2015-03-19 Fei Xue , P. Peddibhotla , M. Montinaro , D. Weber , M. Poggio

Mechanical resonators operating in the high-frequency regime have become a versatile platform for fundamental and applied quantum research. Their exceptional properties, such as low mass and high quality factor, make them also very…

Mesoscale and Nanoscale Physics · Physics 2023-11-29 Diego A. Visani , Letizia Catalini , Christian L. Degen , Alexander Eichler , Javier del Pino

Nanophotonics has been an active research field over the past two decades, triggered by the rising interests in exploring new physics and technologies with light at the nanoscale. As the demands of performance and integration level keep…

Optics · Physics 2019-01-28 Kan Yao , Rohit Unni , Yuebing Zheng

The nuclear spin is a prime candidate for quantum information applications due to its weak coupling to the environment and inherently long coherence times. However, this weak coupling also challenges the addressability of the nuclear spin.…

Quantum Physics · Physics 2025-12-15 Hester G. Vennema , Cristina Mier , Evert W. Stolte , Leonard Edens , Jinwon Lee , Sander Otte

Current magnetic resonance imaging (MRI) requires the subject to remain stationary to limit motion artifacts and avoid unwanted field-induced brain stimulation. However, imaging during large-scale motion could enable studies in which motion…

Spherical silicon nanoparticles with sizes of a few hundreds of nanometers represent a unique optical system. According to theoretical predictions based on Mie theory they can exhibit strong magnetic resonances in the visible spectral…

Scanning-probe and wide-field magnetic microscopes based on Nitrogen-Vacancy (NV) centers in diamond have enabled remarkable advances in the study of biology and materials, but each method has drawbacks. Here, we implement an alternative…

Nanomechanical resonators with ultra-high quality factors have become a central element in fundamental research, enabling measurements below the standard quantum limit and the preparation of long-lived quantum states. Here, I propose that…

Applied Physics · Physics 2022-09-13 Alexander Eichler

Nanorobotics offers an emerging frontier in biomedicine, holding the potential to revolutionize diagnostic and therapeutic applications through its unique capabilities in manipulating biological systems at the nanoscale. Following PRISMA…

Robotics · Computer Science 2024-01-23 Shishir Rajendran , Prathic Sundararajan , Ashi Awasthi , Suraj Rajendran

Nanomedicine research started exploring the combination of therapy and diagnostics, so-called theranostics, to offer a more flexible care with improved outcome. As magnetic nanoparticles show great potential in many diagnostic and…

Medical Physics · Physics 2022-05-11 Annelies Coene , Jonathan Leliaert

In-situ characterization of minute amounts of complex fluids is a challenge. Magnetic Rotational Spectroscopy (MRS) with submicron probes offers flexibility and accuracy providing desired spatial and temporal resolution in characterization…

Materials Science · Physics 2015-03-19 Konstantin G. Kornev , Yu Gu , Pavel Aprelev , Alexander Tokarev

Nuclear magnetic resonance (NMR) spectroscopy is one of the leading techniques for protein studies. The method features a number of properties, allowing to explain macromolecular interactions mechanistically and resolve structures with…

Quantitative Methods · Quantitative Biology 2018-08-03 Piotr Klukowski , Adam Gonczarek

Magnetic resonance imaging (MRI) is an essential medical tool with inherently slow data acquisition process. Slow acquisition process requires patient to be long time exposed to scanning apparatus. In recent years significant efforts are…

Computer Vision and Pattern Recognition · Computer Science 2015-03-05 Jelena Badnjar

The near field scanning optical microscopy (NSOM) is not only a tool for imaging of objects in the sub wavelength limit but also a prominent characteristic tool for understanding the intrinsic properties of the nanostructures. The effect of…

Materials Science · Physics 2017-05-16 A. K. Sivadasan , Kishore K. Madapu , Prajit Dhara

Magnetic resonance imaging (MRI) is a widely used biomedical imaging modality that derives much of its contrast from microscale magnetic field gradients in biological tissues. However, the connection between these sub-voxel field patterns…

Patterned magnetic nanostructures are advanced materials characterized by their unique magnetic properties at the nanoscale, which are the result of tailored geometric configurations and compositional engineering. As interest in…

Mesoscale and Nanoscale Physics · Physics 2025-01-03 Oleksandr Dobrovolskiy , Gleb Kakazei

Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept of application of deep learning and neural network for…

Medical Physics · Physics 2019-05-15 Xiaobo Qu , Yihui Huang , Hengfa Lu , Tianyu Qiu , Di Guo , Tatiana Agback , Vladislav Orekhov , Zhong Chen
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