Counting and measuring nanoparticles is a time-consuming process. A new routine supported by artificial intelligence (AI) takes over this task and delivers faster and more precise results than humans have been able to do.

Led by colloid chemist Alexander Wittemann, this open-access routine was developed by a research team in Konstanz and is based on Meta's open source "Segment Anything Model" (SAM). It can already be applied to nanoparticles of various shapes and can be adapted further. In addition to the codes for the AI routine, the research team has published the underlying study and corresponding data open access.

Open access code: "Analysis of Nanoparticles Using SAM"

The code used to analyze the nanoparticles is provided on GitHub free of charge.

Open access article: “Pre-Trained Artificial Intelligence-Aided Analysis […]”

The study on the method (DOI: 10.1038/s41598-025-86327-x) has been published open access in Scientific Reports.

Open research data: "Analysis of Nanoparticles Using SAM"

You can download the associated research data (DOI: 10.48606/EsfTYSZxEqPwiVkZ) via KonData free of charge.