The Microplastics Finder is a software that uses machine learning algorithms to automate the data analysis of microplastics measurements. It recognises the type, number and size of the particles. Large volumes of data are analysed fast.
Microplastics can be found in any part of an environmental or nutritional sample. Today, FPA-based FTIR imaging allows a whole sample to be measured quickly. However, to analyse the measurement data, a powerful tool is needed to reliably identify the polymer particles contained in the sample. The analysis must provide objective, complete and robust results, which are presented in detail and transparently.
The Microplastics Finder uses machine learning algorithms that identify more than 20 polymer types within minutes. In combination with FTIR imaging, it offers the fastest method to examine an entire sample for microplastics. Thanks to automation, which does not require time-consuming manual post-processing, the analysis results are optimally comparable and reproducible. Microplastics analysis becomes scalable and new types of questions about the presence and origin of microplastics can be answered.