LA-TReQNet: Improving Multielement Quantification Model for Laser Ablation Inductively Coupled Plasma Mass Spectrometry Based on Deep Learning Network

= 898) for trace elements relative to certified reference values. The results confirm that deep learning-based elemental quantification achieves accuracy on par with conventional approaches while eliminating the reliance on internal or external standards, thus significantly expanding the applicability of LA-ICP-MS to complex and diverse samples. Moreover, LA-TReQNet eliminates data quality fluctuations from researcher experience differences in traditional handling, improving both processing efficiency and result stability.