A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

An optical module and a mobile terminal are provided. The optical module includes a collimator, a photosensitive unit, and a wiring structure, wherein the photosensitive unit is arranged on a surface of one side of the collimator, and the wiring structure is arranged on a surface of one side, away from the collimator, of the photosensitive unit.

An optical module and a mobile terminal are provided. The optical module includes a collimator, a photosensitive unit, and a wiring structure, wherein the photosensitive unit is arranged on a surface of one side of the collimator, and the wiring structure is arranged on a surface of one side, away from the collimator, of the photosensitive unit.

Method of tracking a plurality of objects comprising: focusing an image of the objects on an imaging element using an optical system; capturing the image of the objects using an imaging element comprising a plurality of pixels; measuring at least one characteristic of the objects from the captured image using an image processor; wherein the field of view is set be the widest field of view for which the image processor is able to measure the at least one characteristic.

Method of tracking a plurality of objects comprising: focusing an image of the objects on an imaging element using an optical system; capturing the image of the objects using an imaging element comprising a plurality of pixels; measuring at least one characteristic of the objects from the captured image using an image processor; wherein the field of view is set be the widest field of view for which the image processor is able to measure the at least one characteristic.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

A medical image processing apparatus for allocating at least two medical imaging processes to a plurality of assignable processing resources is provided. The plurality of assignable processing resources is allocated by the medical image processing apparatus based on resource information of the plurality of assignable processing resources. The medical image processing apparatus includes circuitry configured to acquire medical image processing content, from medical equipment, to be processed according to the at least two medical imaging processes prior to display on a display device connected to a surgical operating room network. The circuitry is configured to acquire the resource information of the plurality of assignable processing resources, and allocate each of the at least two medical imaging processes to a different one of the plurality of assignable processing resources based on the resource information of the plurality processing resources and the medical image processing content.

A multi-camera vision system and method of monitoring. In one embodiment imaging systems provide object classifications with cameras positioned to receive image data from a field of view to classify an object among multiple classifications. A control unit receives classification or position information of objects and (ii) displays an image corresponding to a classified object relative to the position of the structure. An embodiment of a related method monitors positions of an imaged object about a boundary by continually capturing at least first and second series of image frames, each series comprising different fields of view of a scene about the boundary, with some of the image frames in the first series covering a wide angle field of view and some of the image frames in the second series covering no more than a narrow angle field of view.

Provided is an image processing method including identifying a plurality of real-world objects or a plurality of virtual objects included in an image recognized by a device, obtaining depth information of each of the plurality of identified real-world objects or virtual objects, and outputting light of a virtual image corresponding to the plurality of identified real-world object or virtual object based on the depth information of each of the plurality of identified real-world objects or virtual objects.