Sara El-Kerkary

Developing and evaluating automated deep learning and human-in-the-loop vision–language systems for microplastic characterization

A comparative evaluation of two distinct artificial intelligence paradigms for the analysis of optical microscope images of microplastics shows that the trained DL model excels in high-throughput, reproducible screening, while the VLM-HITL system offers enhanced interpretability and flexibility for ambiguous cases.