Abstract: A method comprising: receiving a plurality of signals representing spectral emissions resulting from an interaction between a laser field and a respective plurality of analytes, wherein at least some of the analytes comprise multi-center chiral molecules; at a training stage, training a machine learning model on a training set comprising: (i) the plurality of signals, and (ii) labels associated with a configuration of a chirality in each of the plurality of analytes; and at an inference stage, applying the machine learning model to a target signal representing spectral emission associated with a target analyte comprising a multi-center chiral molecule, to determine chiral characteristic of the target analyte.