A method for the rapid online estimation of Chlorella sorokiniana biomass concentration is proposed. The method is based on the processing of laser reflectance data through machine learning techniques. The method requires low calibration effort and can be readily applied in industrial facilities. It is applicable to other strains and to turbid suspensions of biomass with tendency to aggregate.