A method for analyzing 2D material thin film and a system for analyzing 2D material thin film are disclosed. The detection method includes the following steps: capturing sample images of 2D material thin films; measuring the 2D material thin films by a Raman spectrometer; performing a visible light hyperspectral algorithm on the sample images by a processor to generate a plurality of visible light hyperspectral images; performing a training and validation procedure, performing an image feature algorithm on the visible light hyperspectral images, and establishing a thin film prediction model based on a validation; and capturing a thin-film image to be measured by the optical microscope, performing the visible light hyperspectral algorithm, and then generating a distribution result of the thin-film image to be measured according to an analysis of the thin film prediction model.

An analysis method includes: obtaining n×m pieces of map data by repeating, m times, a map measurement in which n pieces of map data are obtained by scanning a specimen with a primary probe to detect electrons emitted from the specimen with an electron spectrometer, while measurement energy ranges of an analyzer are varied; and generating a spectral map in which a position on the specimen is associated with a spectrum based on the n×m pieces of map data, the measurement energy ranges of m times of the map measurement not overlapping each other.

Provided are a device for analyzing a large-area sample based on an image, a device for analyzing a sample based on an image by using a difference in medium characteristic, and a method for measuring and analyzing a sample by using the same. The device for analyzing a large-area sample includes a first sensor array including sensors disposed while being spaced apart from each other in a first direction, a second sensor array including sensors disposed while being spaced apart from each other in the first direction, and spaced apart from the first sensor array in a second direction, and a control unit that obtains image data for a cell included in the sample by using sensing data of the sensor on the sample, in which the sample is interposed between the first sensor array and the second sensor array.

A bubble measurement system includes a bubble detector including a vessel having a flow path configured to receive a flow of fluid including air bubbles from a bubble generator and an imaging system. The imaging system includes an imaging device for imaging the fluid and air bubbles in the flow path of the vessel of the bubble detector. The imaging system has an imaging controller coupled to the imaging device and receiving images from the imaging device. The imaging controller processes the images to measure bubble size of each air bubble passing through the bubble detector. The imaging controller includes a pairing module comparing successive images and the air bubbles in successive images to measure all bubbles flowing through the vessel.

An excrement management system according to an embodiment includes: a closet bowl in which a bowl part for receiving excrement is formed; a light emitting unit configured to emit light toward an inner part of the closet bowl; a light receiving unit comprising an image sensor configured to receive light; a cloud server and an edge server configured to analyze light reception data received by the light receiving unit; a first communication device configured to transmit the light reception data to the cloud server; and a second communication device configured to transmit the light reception data to the edge server. The cloud server analyzes the light reception data to determine a characteristic of excrement, and the edge server analyzes the light reception data to determine whether to transmit the light reception data to the cloud server by the first communication device.

The invention discloses a Trace Microanalysis Microscope System for high throughput screening. A multimodal imaging sensor arrangement acquires color, multispectral, hyperspectral and multi-directional polarized imaging, independently and in combinations thereof. In one aspect of this disclosure, the multimodal acquisition is combined with a plurality of sample illumination modes, further expanding the dimensionality of the generated data. In another aspect of this invention, machine learning-based methods combining and comparing a- priori data with the acquired multimodal data space, provide unique identifiers for the composition of the analyzed target objects. In yet another aspect of this invention, projection mapping of the identified compositional features navigates secondary sampling for subsequent analyses.

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 system for airborne remote sensing comprises an array of remote sensing devices configured for being towed by an aircraft. Each of the array of remote sensing devices is configured for lateral separation in flight, to provide a large coverage area than any of the array of remote sensing devices can cover by itself. Onboard electronics comprise sensors, such as a forward imaging infrared camera for capturing data in flight. By analyzing the data collected by the remote sensing system, various types of information can be generated, such as hydrocarbon leak detection.

Described embodiments include a system for inspecting a tubular device that includes an outer surface and a spatially-periodic supporting structure beneath the outer surface. The system includes an imaging device, configured to acquire an image of a reflection of light from the outer surface, and a processor, configured to ascertain a spatial frequency of the supporting structure by processing the image. Other embodiments are also described.

An imaging system includes a scattering assembly with a scattering medium positioned a first distance from an object to be imaged. The scattering medium includes a plurality of particles suspended in a suspension medium and at least one field source generating an electromagnetic field to manipulate an orientation, concentration, spatial distribution, and/or other properties of the plurality of particles. The imaging system further includes a detector including a plurality of detector elements positioned a second distance from the scattering medium and an image processing system configured to reconstruct an image of the object from an object image signal detected by the detector using object light scattered by the scattering medium and incident on the detector.