X Ray Fluorescence

X-ray fluorescence (XRF) spectrometry is a powerful analytical technique used to determine the elemental composition of materials by measuring the characteristic X-rays emitted after excitation. Current research emphasizes improving the speed and accuracy of XRF analysis, particularly through integration with advanced imaging techniques and machine learning algorithms like deep learning (including autoencoders and deep clustering) and random forests, to enhance data interpretation and automate pigment identification in applications such as soil analysis and art conservation. These advancements enable faster, more efficient, and less expensive elemental mapping, leading to broader applications across diverse scientific fields and improved understanding of material properties.