Abstract: Compositions comprising fluorescent or colored dyes and methods of using the same in combination with divalent metal salts to analyze samples are disclosed.

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: [Object] To evaluate the function related to absorption or release of a biological sample in more detail. [Solution] According to the present technology, an information processing device includes: a detection unit configured to detect at least one region of interest in at least one captured image among a plurality of captured images of a biological sample having different imaging times; a feature amount calculation unit configured to calculate a feature amount related to a change in the at least one region of interest in the plurality of captured images; and an evaluation value calculation unit configured to calculate an evaluation value for a function related to absorption or release of the biological sample on a basis of the feature amount.

Abstract: There is provided an information processing device including: an analysis unit that specifies a movement in a region-of-interest relating to an embryo on a plurality of images using the plurality of images including the embryo captured in a time series manner during periods corresponding to a plurality of cell stages; a feature value calculation unit that calculates a movement feature value relating to an inside of the embryo on the basis of the specified movement; and a presentation control unit that controls a presentation of the movement feature values acquired during periods corresponding to at least two cell stages among the plurality of cell stages in order to evaluate a quality of the embryo.

Abstract: Compositions comprising fluorescent or colored dyes and methods of using the same in combination with divalent metal salts to analyze samples are disclosed.

Abstract: According to some aspects, an information processing apparatus is provided. The information processing apparatus includes at least one processor configured to receive an image of a plurality of images. The information processing apparatus further includes at least one storage medium configured to store processor-executable instructions that, when executed by the at least one processor, perform a method. The method includes setting at least one axial direction in the image, wherein the image includes an analysis target. The method further includes determining motion information for the analysis target by analyzing motion of the analysis target to identify, with respect to the at least one axial direction, at least one of a motion amount of the analysis target and a motion direction of the analysis target.

Abstract: An information processing apparatus, an information processing method, and a cell analysis system are provided. The information processing apparatus includes a processor configured to: determine a frequency feature value based on motion data from an image of a cell, and control displaying information associated with the frequency feature value, wherein the frequency feature value includes a power spectral density for each time range and each frequency band, and wherein the information associated with the frequency feature value is displayed in association with the each time range and the each frequency band.

Abstract: An observation system includes a microscope optical system, an image pickup unit, an image pickup control unit, a detection unit, and an observation control unit. The image pickup unit is configured to take an image of a field-of-view range of the microscope optical system. The image pickup control unit is configured to cause the image pickup unit to take images of an observation sample in the field-of-view range at a plurality of focal positions and generate detection images. The detection unit is configured to detect a three-dimensional position of an observation target object in the observation sample from the detection images. The observation control unit is configured to fit the field-of-view range of the microscope optical system to the three-dimensional position.

Abstract: A cell analysis system according to the present disclosure includes a motion information extracting unit and a motion characteristics calculating unit. The motion information extracting unit extracts motion information arising from a movement of ions or molecules across a cell membrane, out of a cell image obtained from imaging a cell in time series. The motion characteristics calculating unit calculates motion characteristics of the motion information.

Abstract: There is provided an image processing apparatus including a motion detector that detects motion of an observation target from a hologram of the observation target, a hologram processing unit that extracts a portion of the hologram based on a result obtained by detecting the motion of the observation target, and a reconstruction unit that reconstructs an image from a portion of the extracted hologram.

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: 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: According to some aspects, an image processing apparatus is provided. The image processing apparatus includes circuitry configured to receive at least two images of a biological sample and determine motion information for a plurality of regions of the at least two images. The motion information corresponds to motion of the biological sample. The circuitry is further configured to generate a graphical representation of at least two characteristic amounts. The at least two characteristic amounts correspond to a region of the plurality of regions and one characteristic amount of the at least two characteristic amounts is indicative of the motion information.

Abstract: A cell analysis system according to the present disclosure includes a motion information extracting unit and a motion characteristics calculating unit. The motion information extracting unit extracts motion information arising from a movement of ions or molecules across a cell membrane, out of a cell image obtained from imaging a cell in time series. The motion characteristics calculating unit calculates motion characteristics of the motion information.

Abstract: According to some aspects, an image processing apparatus is provided. The image processing apparatus includes circuitry configured to receive at least two images of a biological sample and determine motion information for a plurality of regions of the at least two images. The motion information corresponds to motion of the biological sample. The circuitry is further configured to generate a graphical representation of at least two characteristic amounts. The at least two characteristic amounts correspond to a region of the plurality of regions and one characteristic amount of the at least two characteristic amounts is indicative of the motion information.

Abstract: An analysis system according to the present technique includes a feature amount calculation section and a reference position calculation section. The feature amount calculation section calculates a feature amount in each of a plurality of moving images of a sample including an observation object, that have been captured at different focal positions, the plurality of moving images having the same phase of movements. The reference position calculation section calculates a reference position of the observation object in a focus direction based on the feature amount.

Abstract: According to some aspects, an information processing apparatus is provided. The information processing apparatus includes at least one processor configured to receive an image of a plurality of images. The information processing apparatus further includes at least one storage medium configured to store processor-executable instructions that, when executed by the at least one processor, perform a method. The method includes setting at least one axial direction in the image, wherein the image includes an analysis target. The method further includes determining motion information for the analysis target by analyzing motion of the analysis target to identify, with respect to the at least one axial direction, at least one of a motion amount of the analysis target and a motion direction of the analysis target.

Abstract: A cell analysis system according to the present disclosure includes a motion information extracting unit and a motion characteristics calculating unit. The motion information extracting unit extracts motion information arising from a movement of ions or molecules across a cell membrane, out of a cell image obtained from imaging a cell in time series. The motion characteristics calculating unit calculates motion characteristics of the motion information.

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: 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.