Abstract: Disclosed is a cell classification method, to be executed by an analyzer, for classifying cells contained in a specimen, including: preparing a first measurement sample by treating a specimen under a first preparation condition; obtaining a first signal from the prepared first measurement sample; classifying, by using the first signal, cells contained in the first measurement sample; preparing a second measurement sample by treating the specimen under a second preparation condition different from the first preparation condition; obtaining a second signal from the prepared second measurement sample; classifying, by using the second signal, cells contained in the second measurement sample; and comparing a result of the cell classification performed by using the first signal and a result of the cell classification performed by using the second signal, with each other, and outputting an analysis result including a number of cells on the basis of a result of the comparison.

Abstract: A composite hollow fiber membrane according to one aspect of the present invention is provided with a semipermeable membrane layer, a support layer that has a hollow fiber shape and is porous, and an intermediate layer interposed between the semipermeable membrane layer and the support layer. The semipermeable membrane layer contains a crosslinked polyamide formed of a polyfunctional amine compound and a polyfunctional acid halide compound. The intermediate layer includes a layer portion made of the same material as the support layer, and the crosslinked polyamide impregnating the layer portion.