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Microplastics Finder: Why, What and How?

A typical dataset generates millions of spectra which can range from approx. 5-70GB. To access the full value of this chemical information, a robust data analysis method is needed.

Purency receives the ACR startup prize

The ACR (Austrian Cooperative Research) startup prize was awarded to Purency for the joint work with partner OFI in the research project microplastics@food.

Publication evaluates machine learning-automated analysis of μFTIR-imaging

New publication evaluates the advantages of computer-assisted microplastics analysis based on μFTIR-images of several environmental samples and machine learning-based data analysis
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