Enhanced detection of threat materials by dark-field x-ray imaging combined with deep neural networks

Abstract

Dark-field X-ray imaging is sensitive to the microstructure of a material. Here, the authors combine this with a neural network algorithm to provide efficient material discrimination, e.g., of explosives vs non-threat materials.