AI4PlastiTrax
| 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.
You can sign up for the newsletter here:
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-based data analysis
AI-supported data analysis trained on tens of thousands of spectra per polymer type ensures reliable identification of particles.
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.
With support of the austria wirtschafts service.
The software is being developed in collaboration with our development partner Fortix.
