Abstract: The present invention relates to a detection method for detecting the presence or absence of a test substance in a sample, the detection method including a measurement step of measuring a delayed luminescence A of a measurement object obtained by bringing dried algae into contact with the sample.

Abstract: The present invention provides a device (1) for detecting contamination with a photosynthesis inhibitor, the device including a collection device (10) configured to collect a test liquid, a light-blocking pretreatment tank (21) configured to store the test liquid (2) collected by the collection device in a state of containing phytoplankton, a stirring device configured to maintain a floating state of the phytoplankton in the test liquid stored in the pretreatment tank, an irradiation light source configured to irradiate the phytoplankton in the test liquid stored in the pretreatment tank with weak light having an underwater photon flux density that does not cause photoinhibition, a drainage conduit (40) configured to allow the test liquid discharged from the pretreatment tank to flow thereinto, and a fluorescence quantum efficiency measuring machine (50) provided for the drainage conduit and configured to measure a fluorescence quantum efficiency of the phytoplankton in the test liquid discharged from the pre

Abstract: An illumination control device includes: an accident detection unit to detect an accident of a vehicle using a signal output from a sensor mounted on the vehicle; a lamp body control unit to command a lamp body that illuminates a vehicle interior using visible light to turn on when an accident is detected by the accident detection unit; and a lamp color changing unit to change a lamp color of the lamp body when the accident is detected by the accident detection unit.

Abstract: The present invention provides a device (1) for detecting contamination with a photosynthesis inhibitor, the device including a collection device (10) configured to collect a test liquid, a light-blocking pretreatment tank (21) configured to store the test liquid (2) collected by the collection device in a state of containing phytoplankton, a stirring device configured to maintain a floating state of the phytoplankton in the test liquid stored in the pretreatment tank, an irradiation light source configured to irradiate the phytoplankton in the test liquid stored in the pretreatment tank with weak light having an underwater photon flux density that does not cause photoinhibition, a drainage conduit (40) configured to allow the test liquid discharged from the pretreatment tank to flow thereinto, and a fluorescence quantum efficiency measuring machine (50) provided for the drainage conduit and configured to measure a fluorescence quantum efficiency of the phytoplankton in the test liquid discharged from the pre

Abstract: A yawing information acquisition unit acquires a yaw angle of a vehicle. A deviation possibility prediction unit predicts a possibility of deviation of the vehicle from an expected traveling route, using at least one piece of information among line-of-sight information about an occupant, utterance information, and traffic information. A yawing change prediction unit determines deviation of the vehicle from the expected traveling route, using the yaw angle and the possibility of deviation. In a case where the yawing change prediction unit has determined the deviation, an image generation unit changes a superimposition target and corrects the difference in position between the superimposition target after the change and a display object.

Abstract: An image generating unit generates an image and causes a display device to display the image. An eye position information acquiring unit acquires position information of the left eye and the right eye of an observer. A stereoscopic viewing area controlling unit specifies the position of stereoscopic viewing areas on the basis of the rotation angle of a projection mechanism adjusting unit for rotating a projection plane about a vertical axis and adjusts the position of the stereoscopic viewing areas by instructing the projection mechanism adjusting unit to rotate the projection plane about the vertical axis depending on the position information of the left eye and the right eye of the observer.

Abstract: A display control unit (4) causes a display unit (5a) to display a stereoscopic image in which an image, in which a right-eye pixel (201Rpix) and a left-eye pixel (201Lpix) are periodically arrayed in the horizontal direction, is arrayed in every two rows in the vertical direction. An image separating unit (5b) separates the stereoscopic image into right-eye pixels (201aR) and left-eye pixels (201aL) at a separation angle ?0 and also into right-eye pixels (201bR) and left-eye pixels (201bL) at a separation angle ?1.

Abstract: An HUD superimposes a display object, as a stereoscopic image or a planar image, on an actual scene. A display control device acquires information about a moving object and information about surrounding and estimates a relative distance between a display obstacle and the moving object. When it is determined that the display obstacle exists or can exist between the display object and the moving object, the display control device changes the display mode of the display object in accordance with the amount of change in the relative distance and notifies the HUD of the display mode.

Abstract: A display control device includes a depth distance setting unit for setting a depth distance of a display object corresponding to display object information; a binocular parallax setting unit for setting a binocular parallax value of the display object depending on the set depth distance; a binocular parallax correcting unit for correcting the set binocular parallax value; a different display mode setting unit for changing a display mode of the display object based on a corrected amount of the binocular parallax value; and a display controller for outputting, to the display device, a stereoscopic vision image including the display object based on either the set binocular parallax value or the corrected binocular parallax value, in which the correction lowers the binocular parallax value in part of a depth distance range, and the different display mode setting unit changes a size of the display object depending on the corrected amount.

Abstract: An emphasis level R is calculated in accordance with a difference between a position of a hand of an operator A specified based on a detection signal of a 3D camera 6 and a predetermined position of a hand for performing a gesture operation. A notification of a presence of an operation object intended for the gesture operation is provided with the calculated emphasis level R to thereby guide the hand of the operator A to a predetermined position of a hand, every time the emphasis level R is calculated in response to the detection of the hand of the operator A by the 3D camera 6.

Abstract: An HUD superimposes a display object, as a stereoscopic image or a planar image, on an actual scene. A display control device acquires information about a moving object and information about surrounding and estimates a relative distance between a display obstacle and the moving object. When it is determined that the display obstacle exists or can exist between the display object and the moving object, the display control device changes the display mode of the display object in accordance with the amount of change in the relative distance and notifies the HUD of the display mode.

Abstract: According to a display control device of this invention, various notification information is classified into a plurality of predetermined patterns of display modes in accordance with values of at least two parameters out of three parameters of the relation with driving, importance for the user, and immediacy of display, and displaying on a display device in the classified display mode. As a result, it is possible to notify information to a user at an appropriate timing with easily and intuitively understandable contents for the user without interrupting driving by the user.

Abstract: An emphasis level R is calculated in accordance with a difference between a position of a hand of an operator A specified based on a detection signal of a 3D camera 6 and a predetermined position of a hand for performing a gesture operation. A notification of a presence of an operation object intended for the gesture operation is provided with the calculated emphasis level R to thereby guide the hand of the operator A to a predetermined position of a hand, every time the emphasis level R is calculated in response to the detection of the hand of the operator A by the 3D camera 6.

Abstract: A cell monitoring device includes an outline detecting section that detects edge pixels from a cell image in a captured image of cells arranged in a single layer and generates an edge image including the detected edge pixels; a pigmented region detecting section that detects pixels of a pigmented region of the cell image in the captured image, and generates a pigmented region image including the detected pixels of the pigmented region; and an image merging section that, in a merged image obtained by overlaying the edge image and the pigmented region image together, detects a cell image region and a background image region in the captured image based on the pixel intensity variance and thus detects the cell image region in the captured image.

Abstract: A cell monitoring device includes an outline detecting section that detects edge pixels from a cell image in a captured image of cells arranged in a single layer and generates an edge image including the detected edge pixels; a pigmented region detecting section that detects pixels of a pigmented region of the cell image in the captured image, and generates a pigmented region image including the detected pixels of the pigmented region; and an image merging section that, in a merged image obtained by overlaying the edge image and the pigmented region image together, detects a cell image region and a background image region in the captured image based on the pixel intensity variance and thus detects the cell image region in the captured image.