Comprehensive evaluations across multiple biomolecular NMR experiments demonstrate that CLEAR consistently outperforms state-of-the-art reconstruction methods, reducing reconstruction errors (RLNE) by approximately 16-25% while exhibiting overall superior or competitive performance across multiple quantitative metrics,...
Jing-Min Lin, Ze Fang, Bo Chen et al.· Analytical Chemistry· 0 citations
STELT (Spatiotemporal Extraction Laplace Transform), a lightweight deep-learning framework based on spatiotemporal feature extraction, is proposed, which achieves superior reconstruction accuracy and noise suppression with significantly reduced computational overhead.
Jing-Min Lin, Bo Chen, Guolan Peng et al.· Journal of Chemical Physics· 0 citations
Multidimensional NMR spectroscopy provides rich molecular-level information on species and structures, with broad significance across chemistry, biology, and materials science. However, its widespread application is generally limited by prolonged acquisition times. Combining non-uniform sampling techniques with spect...
Bo Chen, Xun Guan, Zhuoran Rong et al.· National Science Review· 0 citations
This study presents a diffusion-based deep-learning framework for automatic phase-sensitive NMR spectrum reconstruction directly from common NMR experimental data, free of quadrature acquisition and phase correction operation.
Zhuoran Rong, Bo Chen, Jie Shao et al.· Analytical Chemistry· 0 citations
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