AI-Powered,
A dedicated platform based on deep learning to automatically recognize, segment, and quantitatively analyze soot particles in electron microscope images with one click. Combining AI with material characterization to comprehensively improve research and engineering analysis efficiency.
Windows
macOS
Linux
Intelligent Detection
Accurately identify the edges of every tiny soot particle in complex backgrounds using advanced neural networks, overcoming overlapping and adhesion issues.
Quantitative Characterization
Automatically calculate core morphological parameters such as particle size based on pixel size, and quickly generate structured analysis data reports.
Visual Analysis
Built-in rich charting tools intuitively display the multi-dimensional distribution patterns of particle features, assisting researchers in gaining insights.
Automated Pipeline
From importing raw EM images and deep learning processing to exporting final CSV data, achieving an end-to-end fully automated workflow.
