A method of manufacturing a display device includes: providing a glass including an edge region and an inner region; arranging a light source under the glass; setting a center position of the light source to correspond to an inside of the edge region or an inside of the inner region of the glass; directing light into the glass by using the light source; and detecting a defect in the edge region of the glass by receiving light passing through the glass by using a detection camera.

A portable apparatus for analyzing a plant specimen. A housing assembly defines a sensing volume and controls entry of ambient light into the sensing volume when the housing is closed. A specimen support positions a plant specimen within the sensing volume whereby light emitted from at least one light emitter is incident upon the plant specimen. An image sensor senses light from the at least one light emitter that has been incident on the plant specimen. A processor analyzes data obtained from the light sensor to assess one or more properties of the plant specimen. There may be more than one light emitter, e.g., a halogen lamp and LED array, and the apparatus may acquire images under more than one lighting condition. The apparatus may include a mechanism for moving the plant specimen relative to the optical path to take images at multiple regions of interest on the specimen.

A material application and analysis device may comprise at least one analysis device for optically monitoring at least a first material application and a second material application, and a material application element for applying the second material application to a substrate provided with the first material application at least in sections. The material application element is arranged between a first radiation source and detection device assembly and a second radiation source and detection device assembly, wherein by the first radiation source and detection device assembly the first material application is detectable and wherein by the second radiation source and detection device assembly the second material application is detectable. Furthermore, first image data are processed and second image data are processed, and the processed first image data are evaluated with respect to a physical parameter and the processed second image data are evaluated with respect to a geometrical parameter.

Provided is an antibiotic susceptibility evaluation apparatus including a sample unit including a sample and at least an antibiotic disk arranged on the sample, a light source radiating coherent light to the sample unit, an image sensor detecting transmitted light passing through the sample unit to obtain a sample image, and a controller configured to receive a first sample image, which is an image of the sample at an initial time when the antibiotic disk is arranged on the sample unit, and a second sample image, which is an image of the sample after a preset time, to obtain a spatial correlation of an interference pattern between the first sample image and the second sample image, and to evaluate susceptibility of the sample to antibiotics based on the spatial correlation according a position.

A method includes capturing a signal of a detection substrate exposed to a sample containing a target substance; determining that the detection substrate is in a testable state; and generating an assessment of the presence of the target substance in the sample.

An apparatus (100) for optically characterizing a textile sample (106) comprises a presentation subsystem (102) comprising a viewing window (108). A radiation subsystem (114) comprises a radiation source (120) for directing a first, ultraviolet radiation (122) and a second, visible radiation (123) toward the sample (106), and causing the sample (106) to produce a fluorescent radiation (124) and a reflected radiation (125). A sensing subsystem (126) comprises an imager (130) for capturing the fluorescent radiation (124) and the reflected radiation (125) in an array of pixels (408). A control subsystem (132) comprises a processor (136) for controlling the presentation subsystem (102), the radiation subsystem (114), and the sensing subsystem (126), and for creating a fluorescent and reflected radiation image (400) containing both spectral information and spatial information in regard to the fluorescent radiation (124) and the reflected radiation (125).

A specimen is analyzed with high accuracy. An information processing device includes an extraction unit (20E) that extracts fluorescence correction information from a bright visual field image of a specimen, and a generation unit (20F) that generates a fluorescence correction image based on fluorescence information of the specimen and the fluorescence correction information.

A method for optically detecting mutations in a sequence of DNA is disclosed. The method includes generating an optically coded input sequence by optically coding an input sequence, generating an optically coded reference sequence by optically coding a reference sequence, generating an aligned sequence by overlapping the optically coded input sequence with the optically coded reference sequence, and determining a mutation in the input sequence with respect to the reference sequence. The input sequence includes an input arrangement of a plurality of elements. Each of the plurality of elements includes an element value of a plurality of element values. The reference sequence includes a reference arrangement of the plurality of elements. Each element of the aligned sequence includes one of a low-value element or a high-value element. The mutation is determined responsive to detecting the low-value element in the aligned sequence.

Near InfraRed NIR technology, including NIR cameras and detectors, and machine learning methods and systems, including one or more Machine Learning (ML) based moisture level detection models, are used to accurately identify moisture content and the specific locations of the moisture on an entire surface of a veneer sheet or other wood product and provide moisture level prediction data for the veneer sheet or other wood product. Based on the moisture level prediction data for a given wood product, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.

Near InfraRed NIR technology, including NIR cameras and detectors, and one or more visual cameras are used to generate superimposed image data representing a visual/NIR composite image of wood product and correlating moisture levels with physical features of the surfaces of the wood product. By analyzing the visual/NIR composite image represented by superimposed image data, moisture pockets near an open physical feature that, absent the presence open physical feature would be a problem, can be identified and ignored. Based on the identified moisture levels at various locations in a given wood product, and the proximity of physical features to the identified moisture locations, one or more actions are taken with respect to wood product to ensure the wood product is put to the most efficient, effective, and valuable use.