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GRIN-toolbox: A versatile and light toolbox for NMR inversion.
Bo Chen1, Liubin Wu1, Yida Chen1
1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University, Xiamen, Fujian 361005, China.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|September 15, 2023
Summary
The Generally Regularized INversion (GRIN) algorithm, now a user-friendly GRIN-Toolbox, simplifies complex Nuclear Magnetic Resonance (NMR) data processing. This versatile tool offers one-click solutions for various NMR analysis tasks, enhancing accessibility for practitioners.
Area of Science:
- Nuclear Magnetic Resonance (NMR) spectroscopy
- Computational chemistry
- Data science
Background:
- NMR is a crucial analytical technique in chemistry, biology, and materials science.
- Effective NMR analysis depends heavily on post-processing, often treated as a regularized inverse problem.
- The Generally Regularized INversion (GRIN) algorithm was previously developed for NMR data processing.
Purpose of the Study:
- To introduce the GRIN-Toolbox, a graphical user interface for the GRIN algorithm.
- To demonstrate the practical application and accessibility of GRIN for NMR practitioners.
- To provide examples and guidance for using the GRIN-Toolbox for various NMR data processing tasks.
Main Methods:
- Development and integration of the GRIN algorithm into a user-friendly graphical interface (GRIN-Toolbox).
- Demonstration of GRIN-Toolbox capabilities through processing examples, including diffusion-ordered spectroscopy, MRI reconstruction, and spectrum denoising.
- Provision of a user manual as supplementary material for detailed guidance.
Main Results:
- GRIN-Toolbox offers a versatile and lightweight solution for diverse NMR data processing needs.
- The toolbox enables complex tasks such as diffusion-ordered spectroscopy processing, undersampled MRI reconstruction, and Laplace NMR inversion with a single click.
- The GRIN-Toolbox is extendable to new applications via user-defined inversion models.
Conclusions:
- The GRIN-Toolbox significantly enhances the practical accessibility of advanced NMR data processing techniques.
- Its user-friendly interface and versatile functionalities empower NMR practitioners to perform complex analyses more efficiently.
- The open-source availability of GRIN-Toolbox promotes wider adoption and further development in the NMR community.
Keywords:
Diffusion-ordered spectroscopyLaplace NMRMagnetic resonance image reconstructionNMR data processingToolboxMore Related Videos
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