DEEP Phaser: A Deep Learning Tandem Vision Transformer for Fully Automated NMR Phase Correction

Key Points

• To develop a deep learning model for fully automated phase correction in NMR spectra.
• Utilized a Deep Learning approach called Tandem Vision Transformer.
• Applied the model to 1D NMR spectra analysis.
• Implemented free software accessible via a public web server.
• Achieved accurate phase correction for small molecules and complex mixtures.
• Improved efficiency in processing biomacromolecule spectra.

Abstract