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: 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: 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: 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 analysis apparatus includes a two-dimensional coordinate detecting unit and a three-dimensional coordinate determining unit. The two-dimensional coordinate detecting unit is configured to detect, with respect to a captured image group obtained by capturing an analysis specimen including an analysis target object at a plurality of focal depths, a two-dimensional coordinate candidate being a candidate of a plane coordinate of the analysis target object in each captured image. The three-dimensional coordinate determining unit is configured to determine, based on a position relationship of the plane coordinate candidates between the captured images, a three-dimensional coordinate candidate being a candidate of a three-dimensional coordinate of the analysis target object.

Abstract: A culture container includes a first transparent member being capable of keeping a predetermined temperature; a second transparent member facing to the first transparent member; a housing member to which the first transparent member and the second transparent member are adhered forming a culture space being capable of housing a well plate together with the first transparent member and the second transparent member; and a sealing member for sealing a liquid injected into the culture space between the first transparent member and the housing member.

Abstract: To provide an image processing apparatus, an image processing program, an image processing method, and a microscopic system that are capable of acquiring a high-resolution image that is suitable for scientific verification. An image processing apparatus according to the present technology includes an image conversion unit and an image generation unit. The image conversion unit converts a first picked-up image and a second picked-up image into frequency components, the first picked-up image being obtained by picking up an image of an observation target object with first illumination light via a microscope optical system, the second picked-up image being obtained by picking up an image of the observation target object with second illumination light via the microscope optical system, the second picked-up image having a contrast in a low frequency band lower than that of the first picked-up image and a contrast in a high frequency band higher than that of the first picked-up image.

Abstract: A phase-contrast microscope includes a light source, an objective lens having a numerical aperture (NA), a condenser annulus having an annular light-transmission region, and a phase plate having a first annular phase-shift region. The annular phase-shift region is arranged to receive radiation from the sample region at an angle from the sample region corresponding to greater than one-half of the NA of the objective lens.

Abstract: [Object] To provide an analysis system, an analysis program, and an analysis method suited for analyzing a 3-dimensional temporal state of an observation object. [Solving Means] 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: Described are methods and structures associated with live cell analysis apparatus. A live cell analysis apparatus may include at least one data processor that is configured to process a sequence of images of live cells to determine motion of one or more live cells. The motion may be in response to applied electrical stimulations. The apparatus and methods may be used to determine a refractory period for cardiomyocytes from the determined motion.

Abstract: An information processing apparatus, an information processing method, and a cell analysis system are provided.

Abstract: [Object] To provide a cell analysis system, a cell analysis program and a cell analysis method suitable for analyzing the movement of ions or molecules across cell membranes. [Solving Means] 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 a measurement apparatus including an objective lens, a stage, a setting unit, and a controller. The stage is configured to support a sample vessel in which a plurality of wells each containing a sample are arranged and to define relative positions of the sample vessel and the objective lens. The setting unit is configured to determine whether to set each of the plurality of wells to be a measurement target and set the measurement target. The controller is configured to control the stage such that a well determined to be the measurement target by the setting unit and the objective lens face each other.

Abstract: There is provided an analyzing system including a feature value calculation unit. The feature value calculation unit is configured to calculate, for each time range, a feature value indicating a feature of an amount of movement in a target video image in which a target of analysis is imaged over time.

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: [Object] To provide a cell analyzer system, a cell analyzing program and a cell analyzing method for effectively evaluating a cell and a cell network. [Solving Means] A cell analyzer system according to the present technology includes an image acquisition unit, a vibration information extraction unit, and a vibration characteristics calculation unit. The image acquisition unit acquires a cell image by capturing cells at elapsed time. The vibration information extraction unit extracts vibration information attributable to spontaneous membrane potential vibration of cells from the cell image. The vibration characteristics calculation unit calculates vibration characteristics of the vibration information from the vibration information.

Abstract: A culture container includes a first transparent member being capable of keeping a predetermined temperature; a second transparent member facing to the first transparent member; a housing member to which the first transparent member and the second transparent member are adhered forming a culture space being capable of housing a well plate together with the first transparent member and the second transparent member; and a sealing member for sealing a liquid injected into the culture space between the first transparent member and the housing member.

Abstract: [Object] To provide an image processing apparatus, an image processing program, and an image processing method capable of obtaining three-dimensional information of an observation target object. [Solving Means] An image processing apparatus includes a difference calculation unit and a difference distribution generation unit. The difference calculation unit calculates, for each of pixels that constitute a pickup image in each of a plurality of pickup images taken at different focal depths, a difference of a luminance value from an adjacent pixel. A difference image generation unit generates, on the basis of the difference and the focal depth at which the pickup image including the pixel whose difference is calculated is taken, a distribution of the difference with respect to the focal depth.