MATLAB provides a powerful environment for processing, analyzing, and visualizing spectroscopy data, including NMR, chromatography, and mass spectrometry. With robust toolboxes and customizable workflows, you can automate data import, perform advanced signal processing, and extract meaningful insights from complex datasets.
With MATLAB and Simulink, you can:
- Import, preprocess, and visualize NMR, chromatography, and mass spectrometry data for interpretation
- Apply advanced signal processing techniques to enhance spectra, remove noise, and correct baseline artifacts
- Build and automate analysis pipelines for quantification, peak detection, and compound identification
- Integrate machine learning methods to classify, cluster, or predict chemical properties from spectroscopic data
- Develop and share educational modules to teach spectroscopy data analysis and coding skills in chemistry
NMR Data Processing and Analysis
Enhance your teaching with MATLAB code examples for NMR data processing. Demonstrate peak picking, baseline correction, and spectral analysis in the classroom.
Electron Paramagnetic Resonance (EPR)
Explore EasySpin, a MATLAB community toolbox for EPR spectroscopy, that serves as a resource for teaching, simulating, and analyzing EPR data in your research or classroom.
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Chromatography
Explore the MATLAB community toolbox for Chromatography—a resource for teaching and analyzing chromatography data, including peak integration and visualization.
Mass Spectrometry
Ideal for both education and research, the toolbox enables hands-on exploration of MS data processing workflows, teaching users how to clean, interpret, and extract meaningful insights from complex analytical datasets.
Documentation
Products
Learn about the products used for spectroscopy applications.
