visionCATS 4.2 – Powered by AI
With the upcoming release visionCATS 4.2 in mid February, CAMAG introduces the powerful new AI Tools option that elevate chemometric HPTLC data evaluation to the next level. This release adds two innovative functions – Peaks Analysis and Classification – that fundamentally transform how complex HPTLC data are interpreted.
PEAKS ACCEPTANCE CRITERIA – SMARTER UNDERSTANDING OF PEAK DATA
The Peaks Tool enables users to compare substances and define statistically reliable acceptance ranges.
Show acceptance limits for peak area and height using Min/Max or Confidence Interval methods, interactively explore RF values as well as peak height and area through scatter and box plots, and automatically group, align, and normalize peaks by track, analysis, wavelength, and RF range to ensure reliable and consistent comparison across multiple plates.
CLASSIFICATION – TURNING DATA INTO KNOWLEDGE
The Classification tool brings AI-driven pattern recognition and grouping to visionCATS, removing subjective interpretation in data evaluation.
Choose between predictive modeling or exploratory clustering, apply advanced preprocessing and dimensionality reduction methods such as PCA or t-SNE to improve model performance, and explore complex datasets through high-resolution 2D and 3D visualizations that reveal hidden patterns and structures.
The AI Tools option combines artificial intelligence with CAMAG’s analytical expertise to transform complex HPTLC data into actionable insights, making analysis faster, smarter, and more precise. With automated Peaks Acceptance Criteria and adaptive Classification, users gain a smart assistant for more confident decision-making.
Together, these represent the first AI-driven capabilities in visionCATS, with further intelligent tools and features planned for future releases.