Author:
Becker Moritz,Cheng Yen-Tse,Voigt Achim,Chenakkara Ajmal,He Mengjia,Lehmkuhl Sören,Jouda Mazin,Korvink Jan G.
Abstract
AbstractRapid drug development requires a high throughput screening technology. NMR could benefit from parallel detection but is hampered by technical obstacles. Detection sites must be magnetically shimmed to ppb uniformity, which for parallel detection is precluded by commercial shimming technology. Here we show that, by centering a separate shim system over each detector and employing deep learning to cope with overlapping non-orthogonal shimming fields, parallel detectors can be rapidly calibrated. Our implementation also reports the smallest NMR stripline detectors to date, based on an origami technique, facilitating further upscaling in the number of detection sites within the magnet bore.
Funder
Deutsche Forschungsgemeinschaft
Helmholtz-Gemeinschaft
European Research Council
Karlsruher Institut für Technologie (KIT)
Publisher
Springer Science and Business Media LLC
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