Abstract: An analysis method and a diagnostic device, enabling one to determine whether a longitudinal melanonychia is caused by a malignant melanoma or a benign nevus by correcting color variation in a dermoscopic image through standardization of color balance without depending on an imaging device or an operator; and a computer program for allowing a computer to function as the diagnostic device.

Abstract: An analysis method and a diagnostic device, enabling one to determine whether a longitudinal melanonychia is caused by a malignant melanoma or a benign nevus by correcting color variation in a dermoscopic image through standardization of color balance without depending on an imaging device or an operator; and a computer program for allowing a computer to function as the diagnostic device.

Abstract: In a digital color image of longitudinal melanonychia, RGB parameter values of each pixel are assumed as three components to form a three-dimensional vector. Latitudinal and longitudinal variables are obtained for each three-dimensional vector in an RGB space. The latitudinal and longitudinal variables are used to define a distribution of points, and from the distribution, a discrimination index is found. The discrimination index is classified according to a threshold, to discriminate whether the longitudinal melanonychia is malignant or benign. The distribution of points is displayed to realize visualization of the malignancy of the longitudinal melanonychia.

Abstract: An derivation method of a nail apparatus melanoma discrimination threshold includes a first step of assuming a color image of longitudinal melanonychia as three-dimensional vectors each composed of RGB parameter values of each pixel and finding an angle between each of the three-dimensional vectors and a reference vector, a second step of finding a probability of occurrence according to a frequency distribution of the angles found in the first step, and a third step of finding, according to the probability of occurrence found in the second step, a threshold for a parameter to discriminate whether the longitudinal melanonychia is malignant or benign.

Abstract: In a digital color image of longitudinal melanonychia, RGB parameter values of each pixel are assumed as three components to form a three-dimensional vector. Latitudinal and longitudinal variables are obtained for each three-dimensional vector in an RGB space. The latitudinal and longitudinal variables are used to define a distribution of points, and from the distribution, a discrimination index is found. The discrimination index is classified according to a threshold, to discriminate whether the longitudinal melanonychia is malignant or benign. The distribution of points is displayed to realize visualization of the malignancy of the longitudinal melanonychia.

Abstract: An derivation method of a nail apparatus melanoma discrimination threshold includes a first step of assuming a color image of longitudinal melanonychia as three-dimensional vectors each composed of RGB parameter values of each pixel and finding an angle between each of the three-dimensional vectors and a reference vector, a second step of finding a probability of occurrence according to a frequency distribution of the angles found in the first step, and a third step of finding, according to the probability of occurrence found in the second step, a threshold for a parameter to discriminate whether the longitudinal melanonychia is malignant or benign.

Abstract: An apparatus for measuring a glucose concentration is noninvasive, accurate, and compact. The apparatus includes a detection unit (10) and a principal component analysis (PCA) unit (20). The detection unit includes a light source (11) to emit mid-infrared light, an ATR prism (12) to receive the mid-infrared light with a measuring object placed on the ATR prism, and a spectrum detector (13) to detect an absorption spectrum from the mid-infrared light from the ATR prism. The PCA unit includes a loading memory (24) to store a glucose corresponding loading and a personal data memory (28) to store personal data in the form of a calibration curve. According to the detected absorption spectrum, stored loading, and stored personal data, the PCA unit computes a glucose concentration of the measuring object.

Abstract: A bright-field light source for a surgical microscope emits visible light whose spectral intensity in a wavelength at the wavelength (672 nm) of fluorescence radiated from an observation object is weaker than that of the remaining wavelength regions of the visible light. With the bright-field light source, the surgical microscope allows a clear observation of the periphery of the fluorescent object. The spectral intensity of the visible light from the bright-field light source is relatively suppressed in the wavelength region of the fluorescence radiated from the observation object. Accordingly, the visible light from the bright-field light source never bothers observation of the fluorescent object. The bright-field light source and an excitation light source such as a semiconductor laser unit are mounted on the surgical microscope without a need of additional supports.

Abstract: An apparatus for measuring a glucose concentration is noninvasive, accurate, and compact. The apparatus includes a detection unit (10) and a principal component analysis (PCA) unit (20). The detection unit includes a light source (11) to emit mid-infrared light, an ATR prism (12) to receive the mid-infrared light with a measuring object placed on the ATR prism, and a spectrum detector (13) to detect an absorption spectrum from the mid-infrared light from the ATR prism. The PCA unit includes a loading memory (24) to store a glucose corresponding loading and a personal data memory (28) to store personal data in the form of a calibration curve. According to the detected absorption spectrum, stored loading, and stored personal data, the PCA unit computes a glucose concentration of the measuring object.