
plastitrax.ai
| AI-powered imaging data analysis | Web-based |
Microplastic analysis presents significant challenges for laboratories worldwide: complex datasets, inconsistent methodologies, and the lack of standardized workflows make it difficult to compare results across studies and laboratories.
With AI4PlastiTrax, we are developing a web-based software solution that combines advanced optical particle detection with AI-driven, spectrum-based data analysis. The system is trained on tens of thousands of polymer spectra, enabling robust and reliable identification through machine learning.
Our goal is to contribute to the harmonization and standardization of microplastic analysis, independent of laboratory, instrument, or analytical method.
In combination with our particle-based reference materials, this approach creates a unique integrated concept designed to improve precision, reproducibility, and efficiency in microplastic analysis.
As part of the project, we are currently looking for companies and individuals interested in supporting the software development, providing valuable feedback on features, and participating as beta testers.
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AI 4 PlastiTrax
What should the new software solution be capable of?

Combination of optical and spectroscopic information
Integration von optischem Partikelbild und chemischer Spektralinformation sogt für noch präzisere Analysen und morphologische Partikelinformationen

AI-combined data analysis
AI-supported data analysis trained on tens of thousands of spectra per polymer type ensures reliable identification of particles in combination with a classical correlation algorithm reduces the number of false positives and negatives.

All-in-one solution
Compatibility of analytical results with currently emerging standards and guidelines, combined with our PlastiTrax reference materials, provides an optimal and comprehensive laboratory solution.
plastitrax.ai Summary
✔ Web-based Data Analysis Software
Always offering the latest version and updated spectral data bases.
✔ Hybrid AI-approach
Combines AI with classical algorithms (Pearson-correlation) for maximum reliability.
✔ Multiple Supported Data Formats
Compatible with most instrument manufacturers
✔ Transmission and Reflectance Data
Supports both measurement techniques.
✔ Over 1,000,000 Spectra for Training
Huge number of spectra for training purposes in with multiple measurement techniqes.
✔ User-friendly Interface
Enabling an usage in research and routine laboratories.
✔ Continuos Improvements
Spectral databases and AI tool are continuosly enhanced.
✔ Supporting Current (ISO-) Guidelines
Enabling standardized, compliant and comparable MP data analysis.
✔ Manual Spectral Interpretation
Separate Agglomerates, detect fibers and refine particle identification.
✔ Export Analysis Report
Possibility for automated statistical analysis and data export.


