Beyond Traditional Magnetic Resonance Processing with Artificial Intelligence

Overview

Journal Commun Chem

Publisher Springer Nature

Specialty Chemistry

Date 2024 Oct 28

PMID 39465320

Authors

Amir Jahangiri

Vladislav Orekhov

Affiliations

Soon will be listed here.

Abstract

Smart signal processing approaches using Artificial Intelligence are gaining momentum in NMR applications. In this study, we demonstrate that AI offers new opportunities beyond tasks addressed by traditional techniques. We developed and trained artificial neural networks to solve three problems that until now were deemed "impossible": quadrature detection using only Echo (or Anti-Echo) modulation from the traditional Echo/Anti-Echo scheme; accessing uncertainty of signal intensity at each point in a spectrum processed by any given method; and defining a reference-free score for quantitative access of NMR spectrum quality. Our findings highlight the potential of AI techniques to revolutionize NMR processing and analysis.

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