Device for the classification and examination of particles in fluid

Abstract

A particle image in a sample is formed at an imaging position by an objective lens of a microscope, projected on the image picking up plane of a TV camera via a projection lens and is subjected to photo-electric conversion. Image signals from the TV camera are supplied to an image memory via an A/D converter as well as to an image processing control unit. Image signals outputted from the image memory are supplied to a characteristic picking out unit and there a plurality of characteristics of the particle concerned are picked out. The picked-out characteristics are supplied to the classification unit and there classification of the sediment components is perfumed via a neural network with a learning capability. Accordingly, the classification unit performs provisionally an automatic classification of the objective sediment components by making use of the inputted characteristic parameters. The device allows accurate and fast automatic component particle analysis even for patient specimens containing a variety of components in high concentration.