Precision Coating Analysis
Graphenova v2 utilizes unsupervised machine learning to automate microscopy quality control. Detect coating hazards, quantify coverage, and generate reproducibility reports in seconds.
Graphenova v2 utilizes unsupervised machine learning to automate microscopy quality control. Detect coating hazards, quantify coverage, and generate reproducibility reports in seconds.
Import standard microscopy formats (.tif, .jpg, .png)
1D K-Means clustering segments coating from substrate
Receive hazard scores, visualizations, and JSON data
Algorithms automatically determine thresholds without manual intervention, ensuring unbiased results across different lighting conditions.
Advanced metrics including entropy and edge density quantify the roughness and uniformity of the coating surface.
A composite score (0-100) calculated from 6 weighted vectors helps operators instantly decide if a sample passes QC.