Abstract: Provided is an electronic device that decreases a width of a bezel, and restricts a decrease in an image quality of an image captured with a camera. The electronic device includes: a displaying unit; and a capture unit arranged on a side opposite a displaying surface of the displaying unit. The capture unit includes: a plurality of photoelectric-conversion units that converts light that has been made to enter through the displaying unit into electricity; and a plurality of polarization elements arranged on a light entering side of at least one photoelectric-conversion unit of the plurality of photoelectric-conversion units.

Abstract: In a method for generating an image processing sequence, when a next routine sequence set is used as a sequence set in a routine of this time, a reference sequence stored in a storage device is compared with each of a plurality of image processing sequences forming a sequence set, and an output image according to the image processing sequence is generated, using a processed image associated with the reference sequence, with respect to a sequence that is the same as the reference sequence and that is formed by an image input layer and a sequence element coupled continuously from the image input layer, of the image processing sequences.

Abstract: An image processing sequence generation method includes using a reference table to generate a plurality of image processing sequences so as to have a probability relationship where an input-side sequence element having a high connection reference value with respect to an output-side sequence element has a high connection probability of being connected to the output-side sequence element.

Abstract: An attached substance determination method causes a computer to determine whether or not an attached substance is attached to an inspection target object, in which the computer includes at least one processor, and the at least one processor is configured to (a) acquire, as learning data, a spectroscopic image obtained by imaging a first type sample having the attached substance attached to a base with a spectroscopic camera and a spectroscopic image obtained by imaging a second type sample having no attached substance attached to the base with the spectroscopic camera, in which spectroscopic images of a plurality of kinds of the first type samples having different kinds of the bases and different kinds of the attached substances and spectroscopic images of a plurality of kinds of the second type samples having different kinds of the bases are acquired as the learning data, (b) generate, based on the learning data, a determination model with a spectroscopic image of the inspection target object as an input and

Abstract: An identification method for identifying a target to be measured includes accepting, from an input section, an information representing a condition for acquiring spectral information specific to a target to be measured, capturing, by a spectrometry camera, an image of the target, acquiring the spectral information specific to the target based on the captured image, and identifying the target based on (i) the spectral information and (ii) a database, stored in a memory, containing a plurality of pieces of spectral information corresponding to a plurality of objects. Acquiring the spectral information includes preferentially acquiring the spectral information specific to the target in a specific wavelength region where the target is identifiable.

Abstract: There is provided a calibration apparatus including one or a plurality of first processors programmed to: obtain spectrum images from a spectral camera that images light from alight source portion; obtain a spectral reference value from a measurement result of a calibration reference device that measures the light; extract a gradation value at a correction point that is a pixel which generates a correction matrix among the spectrum images as a measurement value; divide the measurement value at the correction point and the spectral reference value by a luminance value of the light emitted from the light source portion to obtain a normalized measurement value and a normalized reference value; and calculate the correction matrix based on the normalized measurement value and the normalized reference value.

Abstract: A calibration device includes one or more processors. The one or more processors acquire a measured value obtained when a spectroscopic light source configured to output uniform light with a predetermined spectroscopic wavelength and configured to change the spectroscopic wavelength outputs the uniform light while changing the spectroscopic wavelength of the uniform light and a spectroscopic measurement unit to be calibrated spectroscopically measures the outputted uniform light. The one or more processors acquire a target value for each of the spectroscopic wavelengths obtained when the spectroscopic measurement unit measures the uniform light. The one or more processors calculate a transformation matrix for transforming the measured value, based on the measured value and the target value.

Abstract: An inspection method includes: spectroscopically separating light from a predetermined imaging range of an inspection object into light of a plurality of wavelengths and imaging spectroscopic images of each of the wavelengths; inspecting a shape of the inspection object using the spectroscopic image of a predetermined wavelength among the wavelengths imaged in the imaging of the spectroscopic images of each of the wavelengths; and inspecting a color of the inspection object using the spectroscopic images of each of the wavelengths imaged. The predetermined wavelength is determined so that a maximum light quantity of the light from the inspection object in the corresponding spectroscopic image at the predetermined wavelength is equal to or higher than maximum light quantities in the other spectroscopic images at the other wavelengths.

Abstract: A determination method includes: obtaining measurement data; selecting 0 or more second wavelengths from a plurality of first wavelengths including at least one of a plurality of measurement wavelengths to generate a plurality of individuals, by using a genetic algorithm; inputting, to a first model learned to reproduce a correct answer label of a target object, the measurement data of the target object belonging to a remaining group and a second spectroscopic spectrum determined by the second wavelength to discriminate a label of the target object belonging to the remaining group, for each of the plurality of individuals; and determining whether or not to use the second wavelength as the wavelength of the spectroscopic spectrum for discrimination based on a rate at which the label is correctly discriminated.

Abstract: An infusion set (1) includes: a first flow path (10a) having a first connector (11a) and a downstream connector (19); a first open/close valve (12a), a first liquid surface sensor (13a), a second liquid surface sensor (13b), a drip chamber (14), and a variable valve (17) that are provided in this order on the first flow path from the first connector side toward the downstream connector side; a droplet sensor (15) with which the drip chamber is provided; a second flow path (10b) having a second connector (11b); and a second open/close valve (12b) provided on the second flow path. The second flow path is in communication with a portion of the first flow path between the first liquid surface sensor and the second liquid surface sensor. The controller is configured to control the first and second open/close valves and the variable valves based on signals from the first and second liquid surface sensors and the droplet sensor.

Abstract: An attached substance determination method causes a computer to determine whether or not an attached substance is attached to an inspection target object, in which the computer includes at least one processor, and the at least one processor is configured to (a) acquire, as learning data, a spectroscopic image obtained by imaging a first type sample having the attached substance attached to a base with a spectroscopic camera and a spectroscopic image obtained by imaging a second type sample having no attached substance attached to the base with the spectroscopic camera, in which spectroscopic images of a plurality of kinds of the first type samples having different kinds of the bases and different kinds of the attached substances and spectroscopic images of a plurality of kinds of the second type samples having different kinds of the bases are acquired as the learning data, (b) generate, based on the learning data, a determination model with a spectroscopic image of the inspection target object as an input and

Abstract: A first open/close valve (12a), a drip chamber (14), and a variable valve (17) are provided in this order on a first flow path (10a) from a first connector (11a) side toward a downstream connector (19) side. A second flow path (10b), on which a second open/close valve (12b) is provided, is connected to a section of the first flow path between the first open/close valve and the drip chamber. A priming method includes a first step of causing the first liquid to flow from a first container (20a) into the first flow path and priming the first flow path using the first liquid, and a second step of causing the second liquid to flow from a second container (20b) into the second flow path and priming the second flow path using the second liquid. In the second step, the second liquid moves air that has been present in the second flow path toward the first container (20a).

Abstract: An inspection method includes: spectroscopically separating light from a predetermined imaging range of an inspection object into light of a plurality of wavelengths and imaging spectroscopic images of each of the wavelengths; inspecting a shape of the inspection object using the spectroscopic image of a predetermined wavelength among the wavelengths imaged in the imaging of the spectroscopic images of each of the wavelengths; and inspecting a color of the inspection object using the spectroscopic images of each of the wavelengths imaged. The predetermined wavelength is determined so that a maximum light quantity of the light from the inspection object in the corresponding spectroscopic image at the predetermined wavelength is equal to or higher than maximum light quantities in the other spectroscopic images at the other wavelengths.

Abstract: A media type determination device includes: a light detector that detects light from a target object; a sensor that transmits an ultrasonic wave to the target object and performs an ultrasonic measurement for receiving the ultrasonic wave transmitted through the target object; and one or a plurality of processors. The one or plurality of processors are programmed to execute a method including: acquiring light information corresponding to the light from the target object, from the light detector; acquiring ultrasonic wave information corresponding to an ultrasonic wave via the target object from the sensor, and determining a type of target object based on the light information and the ultrasonic wave information.

Abstract: A display method according to the present disclosure includes an imaging step of imaging inherent spectroscopic information provided to an object to be measured as a first image, and taking an image of the object different from the spectroscopic information as a second image, and a display step of inevitably displaying the second image and selectively displaying the first image out of the first image and the second image.

Abstract: An inspection apparatus includes a spectroscopic imager that spectroscopically separates light from a predetermined imaging range of an inspection object into light of a plurality of wavelengths and images spectroscopic images of each of the wavelengths, a shape inspection unit that inspects a shape of the inspection object using a spectroscopic image of a predetermined wavelength among the spectroscopic images of each of the wavelengths, and a color inspection unit that inspects a color of the inspection object using the spectroscopic images of each of the wavelengths.

Abstract: There is provided a calibration apparatus including one or a plurality of first processors programmed to: obtain spectrum images from a spectral camera that images light from alight source portion; obtain a spectral reference value from a measurement result of a calibration reference device that measures the light; extract a gradation value at a correction point that is a pixel which generates a correction matrix among the spectrum images as a measurement value; divide the measurement value at the correction point and the spectral reference value by a luminance value of the light emitted from the light source portion to obtain a normalized measurement value and a normalized reference value; and calculate the correction matrix based on the normalized measurement value and the normalized reference value.

Abstract: Provided is a curcumin pharmaceutical preparation that is highly water soluble, can maintain the concentration of free curcumin in the blood sufficiently high by being administered parenterally, can effectively obtain a pharmacological action of curcumin, and is highly safe. A pharmaceutical composition for parenteral administration, including a water-soluble substance conjugate of curcumin as an active component.

Abstract: A media type determination device includes: a light detector that detects light from a target object; a sensor that transmits an ultrasonic wave to the target object and performs an ultrasonic measurement for receiving the ultrasonic wave transmitted through the target object; and one or a plurality of processors. The one or plurality of processors are programmed to execute a method including: acquiring light information corresponding to the light from the target object, from the light detector; acquiring ultrasonic wave information corresponding to an ultrasonic wave via the target object from the sensor, and determining a type of target object based on the light information and the ultrasonic wave information.

Abstract: An identification method for identifying a target to be measured includes accepting, from an input section, an information representing a condition for acquiring spectral information specific to a target to be measured, capturing, by a spectrometry camera, an image of the target, acquiring the spectral information specific to the target based on the captured image, and identifying the target based on (i) the spectral information and (ii) a database, stored in a memory, containing a plurality of pieces of spectral information corresponding to a plurality of objects. Acquiring the spectral information includes preferentially acquiring the spectral information specific to the target in a specific wavelength region where the target is identifiable.