Patent classifications
G01N2201/0634
Biochip device
A biochip device comprising a substrate constituted by at least one plate of material forming a multimode planar waveguide and carrying chromophore elements suitable for emitting fluorescence in response to excitation by guided waves having an evanescent portion, the device being characterized in that it includes coupling means for coupling excitation light with the waveguide in the form of guided waves, the coupling means being substantially non-directional.
Image capturing apparatus and biometric information acquiring apparatus
Provided is a light detecting apparatus comprising a light emitting section that emits light; a light detecting section that detects light from an observation target irradiated with the light emitted by the light emitting section; a mount section attached to a test subject that includes the observation target; and a holding section that holds the light emitting section and the light detecting section and is detachably attached to the mount section. The holding section holds the light emitting section and the light detecting section in a manner to secure a relative positional relationship between the light emitting section and the light detecting section, and a relative positional relationship between the holding section and the mount section is determined by attaching the holding section to the mount section.
Reflectometer, spectrophotometer, ellipsometer and polarimeter systems including a wavelength modifier
Ellipsometer, polarimeter, reflectometer and spectrophotometer systems including one or more wavelength modifiers which convert wavelengths provided by a source of electromagnetic radiation to different wavelengths for use in investigating a sample, and/or which a detector thereof can detect.
Downhole laser system with an improved laser output production and data collection
One or more embodiments relates to a method of growing ultrasmooth and high quantum efficiency CsTe photocathodes. The method includes exposing a substrate of Cs using an alkali source such as an effusion cell; and controlling co-evaporating growth and co-deposition forming a CsTe growth. The method further includes monitoring a stoichiometry of the CsTe growth.
IMAGING DEVICE, INSPECTION APPARATUS AND INSPECTION METHOD
An imaging device configured to image a printed state of a target surface of a target object for inspection includes: a first light source; a diffuser including an inner periphery surface covered with a diffuse reflection material, and configured to diffusely reflect light emitted from the first light source and emit diffusely reflected light to the target surface; and a line sensor configured to receive light resulting from reflecting the diffusely reflected light from the target surface.
APPARATUS AND METHOD FOR FLUORESCENCE GRADING OF GEMSTONES
Provided herein is an apparatus for assessing a fluorescence characteristic of a gemstone. The apparatus comprises an optically opaque platform for supporting a gemstone to be assessed, one or more light source to provide uniform UV and non-UV illumination, an image capturing component, and a telecentric lens positioned to provide fluorescent images of the illuminated gemstone to the image capturing component. Also provided are methods of fluorescence analysis based on images collected using such an apparatus.
Sensor device with OLED
A sensor device configured to be attached to a drug delivery device and configured to illuminate the drug delivery device when attached, the sensor device having an OLED having a transparent first electrode, a transparent second electrode and a central layer disposed between the first and second electrodes, the central layer comprising at least one organic layer, the at least one organic layer configured to emit light through the transparent first electrode, and an optical sensor arranged to receive light reflected from a surface of the drug delivery device, wherein the central layer of the OLED has a region without the at least one organic layer and wherein the optical sensor is arranged, when the sensor device is attached to the drug delivery device, to view a predetermined area of the surface of the drug delivery device through the region without the at least one organic layer.
Apparatus and method for assessing optical quality of gemstones
Provided herein is an apparatus for assessing a color characteristic of a gemstone. The apparatus comprises an optically opaque platform for supporting a sample gemstone to be assessed, a daylight-approximating light source to provide uniform illumination to the gemstone, an image capturing component, and a telecentric lens positioned to provide an image of the illuminated gemstone to the image capturing component. Also provided are methods of color analysis based on images collected using such an apparatus.
Apparatus and method for fluorescence grading of gemstones
Provided herein is an apparatus for assessing a fluorescence characteristic of a gemstone. The apparatus comprises an optically opaque platform for supporting a gemstone to be assessed, one or more light source to provide uniform UV and non-UV illumination, an image capturing component, and a telecentric lens positioned to provide fluorescent images of the illuminated gemstone to the image capturing component. Also provided are methods of fluorescence analysis based on images collected using such an apparatus.
IoT based apparatus for assessing quality of food produce
An IoT based apparatus to assess the quality of food or agricultural produce is disclosed. The apparatus comprises a frame having an enclosure, a movable tray disposed at a middle portion of the enclosure, one or more camera installed within the enclosure, one or more light source strategically mounted within the enclosure to avoid reflection and hot spots, at least one storage unit, a touch screen display and a single board computer coupled to the camera, light source, storage unit and touch screen display. The enclosure is illuminated by the light source and the camera is configured to capture the image of the produce from both the top and bottom side of the produce. A pre-trained deep learning model is used on both the top and bottom view images to identify defects in the agricultural produce. The identified defects are displayed to the user via the touch screen display.