This work proposes a spectral convolutional neural network (CNN) operating on laser induced breakdown spectroscopy (LIBS) signals to learn (1) disentangle from the sources of sensor uncertainty (i.e., pre-process) and (2) get qualitative quantitative measures chemical content sample given signal calibrate). Once CNN is trained, it can accomplish either task through single feed-forward pass, wit...

Here we report on the utilization of Laser-Induced Breakdown Spectroscopy (LIBS) for determination of Quantum Dots (QDs) in liquid solution. The process of optimization of experimental conditions from choosing the carrier medium to application of colloid QDs is described. The main goal was to get the best possible signal to noise ratio. The results obtained from the measurements confirmed the c...