Abstract: The present technology relates to a cell evaluation apparatus and method, and a program that are capable of easily searching for an area to be observed within cardiomyocytes without requiring special preparation.

Abstract: An image processing device includes a processor to detect motion of objects in an observation area on the basis of a captured image. The processor also calculates amounts of each detected motion, and calculates a propagation speed, a propagation direction, or both, of the motion for pulsations of the objects.

Abstract: An image processing device includes a processor to detect motion of objects in an observation area on the basis of a captured image. The processor also calculates amounts of each detected motion, and calculates a propagation speed, a propagation direction, or both, of the motion for pulsations of the objects.

Abstract: The present disclosure relates to a data processing apparatus and a data processing method capable of generating evaluation index data for performing accurate and detailed evaluation of cultured cardiomyocytes. A motion detecting unit divides frame image data obtained by photographing the cultured cardiomyocytes for a predetermined time into blocks and obtains motion detection data in units of blocks per each frame period. A feature amount calculating unit calculates a feature amount for each block at the same position in a frame image using the motion detection data. A classification processing unit classifies each of the blocks into any one of a plurality of classification categories using the calculated feature amount. On the basis of the classification result, evaluation index data made of individual classification result data that represent correspondences between the blocks and the classification categories is generated.

Abstract: Apparatus and methods for image processing capable of generating evaluation index data for performing accurate and detailed evaluation of cultured cardiomyocytes are described. A motion detecting unit divides frame image data obtained by photographing the cultured cardiomyocytes for a predetermined time into blocks and obtains motion detection data in units of blocks per each frame period. A feature amount calculating unit calculates a feature amount for each block at the same position in a frame image using the motion detection data. A classification processing unit classifies each of the blocks into any one of a plurality of classification categories using the calculated feature amount. On the basis of the classification result, evaluation index data made of individual classification result data that represent correspondences between the blocks and the classification categories is generated.

Abstract: The present technology relates to a cell evaluation apparatus and method, and a program that are capable of easily searching for an area to be observed within cardiomyocytes without requiring special preparation.

Abstract: An image processing device includes processor circuitry configured to detect motion of objects in an observation area on the basis of a captured image, calculate amounts of each detected motion, and calculate at least one of a propagation speed and a propagation direction of the motion for pulsations of the objects.

Abstract: A blood analysis apparatus includes an analysis section. The analysis section is configured to compare a measurement spectrum obtained regarding red blood cells with a standard spectrum of heme, biliverdin, and bilirubin, and cause the measurement spectrum to belong to any one of the standard spectra.

Abstract: The present technology relates to a display control apparatus and a method, an image processing apparatus and a method, and a program that enable easy and noninvasive observation of an object to be observed. A first display control unit configured to perform display control of a cell image with one or a plurality of images including cells, and a second display control unit configured to perform display control such that a part or all of a motion amount generated for each of subregions with the one or the plurality of images is associated with each of the subregions, and is superimposed on the cell image and is displayed, are provided. The present disclosure can be applied to a display control apparatus or an image processing apparatus.

Abstract: An image processing apparatus includes: a motion detection unit detecting a motion of a subject to be evaluated by using an image of the subject to be evaluated; a correlation calculation unit calculating a temporal change correlation between motion amounts of a plurality of portions of the subject to be evaluated, by using a motion vector indicating the motion of the subject to be evaluated, which is detected by the motion detection unit; and an evaluation value calculation unit calculating an evaluation value to evaluate cooperativity of the motion of the subject to be evaluated, by using the correlation calculated by the correlation calculation unit.

Abstract: Disclosed is a recording apparatus including: a movement cycle determining section which receives moving image data including image contents of an object which performs a movement in which a movement state and a non-movement state are alternately and periodically repeated, and determines an operating period which corresponds to the movement state and a static period which corresponds to the non-movement state; and a recording control section which records the number of frame image data, per unit time, for forming the moving image data in the static period to be smaller than in the operating period, when the moving image data is recorded.

Abstract: The present disclosure relates to a data processing apparatus and a data processing method capable of generating evaluation index data for performing accurate and detailed evaluation of cultured cardiomyocytes. A motion detecting unit divides frame image data obtained by photographing the cultured cardiomyocytes for a predetermined time into blocks and obtains motion detection data in units of blocks per each frame period. A feature amount calculating unit calculates a feature amount for each block at the same position in a frame image using the motion detection data. A classification processing unit classifies each of the blocks into any one of a plurality of classification categories using the calculated feature amount. On the basis of the classification result, evaluation index data made of individual classification result data that represent correspondences between the blocks and the classification categories is generated.

Abstract: As a result of acquiring visible absorption spectra of red blood cells and analyses of the spectra, inventors of the present disclosure have discovered the fact that echinocytes show a characteristic spectrum pattern having an absorption peak in a wavelength region of 450 to 490 nm between Soret and Q bands. Then, the present disclosure provides a blood analysis apparatus having an analysis section for detecting the absorption peak of a visible absorption spectrum acquired for blood. In accordance with this blood analysis apparatus, on the basis of the absorption peak, it is possible to detect echinocytes contained in blood.

Abstract: A blood analysis apparatus includes an analysis section. The analysis section is configured to compare a measurement spectrum obtained regarding red blood cells with a standard spectrum of heme, biliverdin, and bilirubin, and cause the measurement spectrum to belong to any one of the standard spectra.

Abstract: There is provided an information processing apparatus, including a behavior information generating unit that generates behavior information, a behavior pattern analyzing unit that analyzes a behavior pattern based on the behavior information, a similarity determining unit that performs a similarity determination of the analyzed behavior pattern and a protection target behavior history pattern, a protection selecting unit that selects a protection level of the behavior information based on a result of the similarity determination, and a behavior information protecting unit that protects the behavior information based on the selected protection level.

Abstract: An image processing apparatus includes a converter converting an interlace image including a first number of pixels into a first progressive image, an interpolator interpolating the first progressive image to generate a second progressive image including a second number of pixels, a classification unit classifying, in accordance with a feature of the second progressive image, into classes, subject pixels forming a third progressive image, which serves as a target image, including the second number of pixels and having a quality higher than the second progressive image, a storage unit storing a prediction coefficient for each of the classes obtained by conducting learning using a plurality of progressive images, each including the second number of pixels, and a computation unit performing computation using the second progressive image and the prediction coefficient for each of the classes to determine the third progressive image from the second progressive image.

Abstract: An image processing apparatus includes: a motion detection unit detecting a motion of a subject to be evaluated by using an image of the subject to be evaluated; a correlation calculation unit calculating a temporal change correlation between motion amounts of a plurality of portions of the subject to be evaluated, by using a motion vector indicating the motion of the subject to be evaluated, which is detected by the motion detection unit; and an evaluation value calculation unit calculating an evaluation value to evaluate cooperativity of the motion of the subject to be evaluated, by using the correlation calculated by the correlation calculation unit.

Abstract: An image processing apparatus includes an interlace-progressive converter converting an interlace input image into a progressive intermediate image, a motion-vector detector detecting motion vectors of the input image by using a distance shorter than the pixel interval of the intermediate image, a cyclic-coefficient setting unit setting, on the basis of a vertical motion, a first cyclic coefficient for a first type of pixel and a second cyclic coefficient for a second type of pixel, a motion compensator motion-compensating, on the basis of the motion vectors, a past progressive output image to generate a motion-compensated image, and an output image generator generating a progressive output image by adding pixel values of the first type of pixels and the second type of pixels of the progressive intermediate image and the motion-compensated image by using the first cyclic coefficient and the second cyclic coefficient as weights.