NMR Spectrometers: Resolution and Error Correction
Double Resonance Techniques: Overview
Atomic Nuclei: Magnetic Resonance
¹H NMR: Interpreting Distorted and Overlapping Signals
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule
Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)
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Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Moritz Becker1, Yen-Tse Cheng1, Achim Voigt1
1Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology (KIT), Eggenstein-Leopoldshafen, 76344, Karlsruhe, Germany.
Parallel detection in Nuclear Magnetic Resonance (NMR) is now feasible. A novel deep learning approach enables rapid calibration of multiple NMR detectors, overcoming previous technical hurdles for high throughput screening.
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