Hitachi-high-technologies Corporation

Norio Owada

Satoshi Mitsuyama

Chihiro Manri

Sadamitsu Aso

Hideyuki Ban

An objective is to provide a method and an apparatus for accurately extracting a region of an object particle from a urine particle image obtained by taking an image of urine particles in a urine specimen having varying properties. First, a first object region is extracted using one or more of an R image, a G image, and a B image of a urine particle image taken by an image input optical system configured to input particle images. Then, a density distribution and a size of the first object region of one or more of the R image, the G image, and the B image are calculated. Based on these feature parameters, the first object region is classified into a predetermined number of groups. A second object region is extracted from a local region including the first object region, by using one or more of the R image, the G image, and the B image, depending on each of the groups. This configuration allows stable region segmentation for each particle image even for a urine specimen in which urine particles having different sizes and tones coexist.

Method and device for dividing area of image of particle in urine

Disclosed is a flow cytometer using a spectral device and a multi-detector, in which setting of an optimum wavelength band prior to measuring fluorescence intensity in real time is supported. A signal processing unit stores the intensities in multiple wavelength bands, the intensities being obtained by measuring a calibration sample, and the distribution of the intensities is calculated and displayed by each of the wavelength bands.

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Naka, Japan

Norio Owada