NMR-Onion - a transparent multi-model based 1D NMR deconvolution algorithm
We introduce NMR-Onion, an open-source, computationally efficient algorithm based on Python and PyTorch, designed to facilitate the automatic deconvolution of 1D NMR spectra. NMR-Onion features two innovative time-domain models capable of handling asymmetric non-Lorentzian line shapes. Its core components for resolution-enhanced peak detection and digital filtering of user-specified key regions ensure precise peak prediction and efficient computation. The NMR-Onion framework includes three built-in statistical models, with automatic selection via the BIC criterion. Additionally, NMR-Onion assesses the repeatability of results by evaluating post-modeling uncertainty. Using the NMR-Onion algorithm helps to minimize excessive peak detection.
Authors
- Rasmus Bro (ORCID: https://orcid.org/0000-0002-7641-4854)
- Charlotte H. Gotfredsen (ORCID: https://orcid.org/0000-0002-7386-119X)
- Mikael Lenz Strube (ORCID: https://orcid.org/0000-0003-0905-5705)
- Michael Riis Andersen (ORCID: https://orcid.org/0000-0002-7411-5842)
- Mette-Maya Siewertsen
- Mathies Brinks Sørensen (ORCID: https://orcid.org/0000-0002-4215-0512)
Institutions
- University of Copenhagen (DK)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-30
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e36998
- Citations
- 2
- Primary Topic
- NMR spectroscopy and applications
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- Villum Fonden
- National Research Foundation
- Danmarks Grundforskningsfond