
MATLAB for Chemists: Spectroscopy Data Processing & Analysis
Overview
Join us for a training webinar to learn essential techniques for processing various types of spectroscopy data using MATLAB. This session will provide a comprehensive overview, from importing and plotting raw spectroscopy data to performing advanced signal analysis and error correction. Participants will gain hands-on experience with mass spectrometry, NMR and chromatography data processing and analysis.
Highlights
- Learn how to efficiently import and visualize spectroscopy data in MATLAB.
- Understand sources of error in spectroscopy measurements and how to correct them.
- Process and analyze mass spectrometry data, perform NMR spectrum analysis, and utilize chromatography tools for comprehensive data interpretation.
Who Should Attend
This training session is designed for:
- Faculty interested in teaching spectroscopy data processing with ready-to-use course modules.
- Chemistry and biochemistry students seeking to enhance their MATLAB skills for more efficient and accurate spectroscopy data analysis.
- Data analysts in chemical and life sciences focused on building robust spectroscopy datasets for AI implementations.
Product Focus
- MATLAB
- Signal Processing Toolbox