METHOD AND DEVICE FOR DETECTING AND/OR CLASSIFYING PARTICLES OF ORGANIC BASED COMPOUNDS FROM A BACKSCATTERED LIGHT FINGERPRINT

Method and device for detecting and/or classifying particles of organic based compounds, i.e. bioparticles, from a backscattered light fingerprint, in a liquid dispersion sample, said method using an electronic data processor for detecting and/or classifying particles in the sample, the method comprising the use of the electronic data processor for pre-training a machine learning classifier with a plurality of specimen particles, comprising the steps of: emitting a laser modulated by a modulation frequency onto each specimen; acquiring a temporal signal from laser light backscattered by each specimen for a plurality of temporal periods of a predetermined duration for each specimen; calculating specimen phase-domain coefficients from the acquired specimen signal for each of the temporal periods by applying a phase- domain transform; using the calculated specimen coefficients to pre-train the machine learning classifier for detecting and/or classifying the particles.