Discover hidden trends in spectral & chromatographic datasets
Join us for an introduction to KnowItAll's Trendfinder, a new tool that applies Principal Component Analysis (PCA) to reveal hidden patterns in large analytical datasets that traditional analysis misses—all through an intuitive interface that any researcher can use.
This webinar will quickly familiarize you with basic pattern recognition so that basic chemometric analysis can become part of your routine analytical process.
What you’ll learn
Pattern discovery made simple
- How Trendfinder applies PCA to uncover meaningful patterns in complex datasets
- Working with diverse data types: NMR, IR, MS, Raman, UV-Vis, & chromatography
Advanced analysis without the complexity
- Unknown sample projection for classification and marker compound discovery
- Interactive data mining with clear, actionable visualizations
- Live step-by-step workflow demonstrations
Who should attend:
- Current KnowItAll users ready for advanced pattern analysis
- Researchers with large analytical datasets seeking hidden insights
- Anyone interested in accessible, user-friendly PCA approaches
About KnowItAll Software
KnowItAll offers a unified, vendor neutral solution for data processing, analysis, searching, and databasing. KnowItAll 2026 has tools for workflows across techniques (IR, Raman, GC-MS, LC-MS, NMR and UV-Vis), as well as tools for structure drawing, report publishing, and more. Combined with Wiley’s high-quality spectral reference library databases, it provides an unparalleled solution for fast, reliable spectral analysis.
Presenter: Michelle D’Souza, PhD (Product Manager, Software Products, Wiley Science Solutions, Wiley)
Dr. D’Souza brings years of insight and knowledge in the area of spectral informatics with leadership roles at both Wiley and Bio-Rad Laboratories. In addition to her multiple years as a scientific researcher at Abbott (now AbbVie) and DuPont, she has a Ph.D. in Chemistry from Northern Illinois University and a Masters in Analytical Chemistry from the Chinese Academy of Preventative Medicine. She earned a BS degree from Chemistry Department of Beijing University.
