Abstract: A medical information processing apparatus according to an embodiment includes processing circuitry configured to acquire examination data including examination values of biological examinations performed on the same subject at a plurality of time points; create a map based on the examination data, the map including a time-series element group in which a plurality of elements corresponding to the biological examinations performed at the plurality of time points and having a visual representation according to a degree of risk are arranged in a time-series order along a first direction; and control a display unit to display the map.

Abstract: An analysis system for biomarkers expression is provided. This system is particularly useful for viewing biomarker expression on extracellular vesicles. The system includes an analysis element, a ranging and scaling element, an adjustment element, and a selection element. There provides a display that is configured to display a data of biomarkers expression in one or more graphs.

Abstract: An analysis substrate according to an embodiment is an analysis substrate for performing analysis on fine particles, and includes a plurality of capture regions that capture the fine particles; and a plurality of first isolators whose wettability changes in response to a stimulus, the plurality of first isolators being provided along a first direction between the capture regions.

Abstract: An apparatus includes one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the apparatus to function as an image acquisition unit configured to acquire a captured image, a parameter acquisition unit configured to acquire a parameter recorded when the image is captured, a determination unit configured to determine a target area in the image using the parameter corresponding to the image, an evaluation value calculation unit configured to calculate one or more evaluation values from the target area based on a number of the target areas and a size of the target area, a representative evaluation value calculation unit configured to calculate a representative evaluation value from the evaluation value, and a distance information calculation unit configured to calculate distance information about a distance to a subject in the image based on the representative evaluation value.

Abstract: A distance measurement apparatus includes one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the distance measurement apparatus to function as a calculation unit configured to calculate distance information corresponding to an image captured by an imaging apparatus using an image sensor that captures an object image focused on the image sensor via an optical system, a temperature information obtaining unit configured to obtain temperature information of the imaging apparatus at different times, and a distance correction unit configured to correct the distance information, wherein the distance correction unit corrects the distance information based on the temperature information at a time at which a first image capturing is performed and the temperature information at a time before the first image capturing is performed.

Abstract: An optical imaging system and method are provided for use with plasmon-enhanced optical imaging. The imaging system includes a multi-channel fluorescent microscope configured to image a sample on a plasmonic substrate; an image acquisition control unit configured to acquire multiple images at different times in a first channel; and an image processing unit configured to distinguish a signal within one or more of the multiple images as either (1) a signal from the sample or (2) a signal from a background hotspot.

Abstract: An image processing unit of a digital camera performs control for measuring and displaying dimensions of a subject corresponding to a plurality of measurement points on a captured image. An image generation unit generates data regarding the captured image, and a depth generation unit generates depth information related to a distance distribution in a depth direction corresponding to the captured image. A display control unit displays the captured image on a display unit, and performs control for displaying a subject region corresponding to a subject within a predetermined distance range from a reference distance in the depth direction in an identifiable manner.

Abstract: An accuracy estimation apparatus includes at least one processor and/or at least one circuit that functions as an obtainment unit configured to obtain a shooting condition for a plurality of parallax images that mutually exhibit parallax, and an estimation unit configured based on the shooting condition, to estimate an accuracy of dimension measurement that is performed using the plurality of parallax images.

Abstract: An accuracy estimation apparatus includes at least one processor and/or at least one circuit that functions as an obtainment unit configured to obtain a shooting condition for a plurality of parallax images that mutually exhibit parallax, and an estimation unit configured based on the shooting condition, to estimate an accuracy of dimension measurement that is performed using the plurality of parallax images.

Abstract: An apparatus includes one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the apparatus to function as an image acquisition unit configured to acquire a captured image, a parameter acquisition unit configured to acquire a parameter recorded when the image is captured, a determination unit configured to determine a target area in the image using the parameter corresponding to the image, an evaluation value calculation unit configured to calculate one or more evaluation values from the target area based on a number of the target areas and a size of the target area, a representative evaluation value calculation unit configured to calculate a representative evaluation value from the evaluation value, and a distance information calculation unit configured to calculate distance information about a distance to a subject in the image based on the representative evaluation value.

Abstract: A distance measurement apparatus includes one or more processors, and a memory storing instructions which, when executed by the one or more processors, cause the distance measurement apparatus to function as a calculation unit configured to calculate distance information corresponding to an image captured by an imaging apparatus using an image sensor that captures an object image focused on the image sensor via an optical system, a temperature information obtaining unit configured to obtain temperature information of the imaging apparatus at different times, and a distance correction unit configured to correct the distance information, wherein the distance correction unit corrects the distance information based on the temperature information at a time at which a first image capturing is performed and the temperature information at a time before the first image capturing is performed.

Abstract: There is provided an accuracy estimation apparatus. An obtainment unit obtains a shooting condition for a plurality of parallax images that mutually exhibit parallax. Based on the shooting condition, an estimation unit estimates an accuracy of dimension measurement that is performed using the plurality of parallax images.

Abstract: An image processing apparatus includes an acquisition unit configured to acquire an image captured by an imaging unit, and image capturing information at the time of image capturing of the image, and a calculation unit configured to calculate an object side pixel dimension of a target subject in the image based on the image capturing information and a pixel dimension of the imaging unit, wherein the acquisition unit acquires in-focus information indicating an in-focus state of a subject in an image, as the image capturing information, and wherein the calculation unit calculates the object side pixel dimension based on the in-focus information.

Abstract: An image processing apparatus includes a unit (input unit) configured to acquire image data and depth information corresponding to the image data, a unit (layer division image generation unit) configured to generate layer division image data based on the depth information by dividing the image data into a plurality of layers depending on a subject distance, and a unit (output unit) configured to output the layer division image data. The layer division image data includes image data of a first layer including image data corresponding to a subject at a subject distance less than a first distance, and image data of a second layer including image data corresponding to a subject at a subject distance larger than or equal to the first distance. The first distance changes based on the depth information.

Abstract: Systems and methods for optical sensing, visualization and detection in media (e.g., turbid media; turbid water; fog; non-turbid media). A light source and an image sensor are positioned in turbid media or external to the turbid media with the light source within a field of view of the image sensor array. Temporal optical signals are transmitted through the turbid media via the light source and multiple perspective video sequence frames are acquired via the image sensor array of light propagating through the turbid media. A three-dimensional image is reconstructed from each frame and the reconstructed three-dimensional images are combined to form a three-dimensional video sequence. The transmitted optical signals are detected from the three-dimensional video sequence by applying a multi-dimensional signal detection scheme.

Abstract: Systems and methods for optical sensing, visualization and detection in media (e.g., turbid media; turbid water; fog; non-turbid media). A light source and an image sensor are positioned in turbid media or external to the turbid media with the light source within a field of view of the image sensor array. Temporal optical signals are transmitted through the turbid media via the light source and multiple perspective video sequence frames are acquired via the image sensor array of light propagating through the turbid media. A three-dimensional image is reconstructed from each frame and the reconstructed three-dimensional images are combined to form a three-dimensional video sequence. The transmitted optical signals are detected from the three-dimensional video sequence by applying a multi-dimensional signal detection scheme.

Abstract: Embodiments of the present disclosure include systems and methods for cell identification using a lens-less cell identification sensor. Randomly distributed cells can be illuminated by a light source such as a laser. The object beam can be passed through one or more diffusers. Pattern recognition is applied on the captured optical signature to classify the cells. For example, features can be extracted and a trained classifier can be used to classify the cells. The cell classes can be accurately identified even when multiple cells of the same class are inspected.

Abstract: Provided is an image processing apparatus for detecting a sky region based on a color image and a depth image, having: a first generator configured to generate a first provisional sky map based on pixel values of the color image; and an integrator configured to generate a sky map based on the first provisional sky map and depth values of the depth image.

Abstract: An image processing apparatus calculates the distance in a depth direction of an object in an image by using a plurality of images whose blur amount is different. The image processing apparatus has: an acquisition unit configured to acquire distance range information for designating a range of a distance to be calculated; a determination unit configured to determine a photographing condition of each of images photographed, on the basis of the distance range information; and a calculation unit configured to calculate the distance by using a plurality of images photographed in the respective photographing conditions determined by the determination unit.

Abstract: Embodiments of the present disclosure include systems and methods for cell identification using a lens-less cell identification sensor. Randomly distributed cells can be illuminated by a light source such as a laser. The object beam can be passed through one or more diffusers. Pattern recognition is applied on the captured optical signature to classify the cells. For example, features can be extracted and a trained classifier can be used to classify the cells. The cell classes can be accurately identified even when multiple cells of the same class are inspected.