Disclosed are a device and method for detecting a subsurface defect of an optical component. According to the device and method, a spectral confocal technology, a laser scattering technology and a laser-induced ultrasonic technology are combined, excitation laser and detection laser are simultaneously focused to different depths of the optical component through a dispersion lens set, the excitation laser generates a transient thermal expansion effect on a subsurface of the optical component, the detection laser is used for observing and analyzing ultrasonic vibration of the subsurface defect under an action of the thermal expansion effect, and spatial distribution information and scattered spectral information of scattered light at a position of the subsurface defect are acquired by the spectral confocal technology. The device and method are suitable for nondestructive testing of a finished product of an ultra-precise optical component with a strict requirement on the subsurface defect.

Fluid holdups within a downhole sampling tool are identified by comparing high- and low-resolution measurements of fluid samples.

Multifocal photoacoustic imaging systems and methods that implement an ergodic relay to encode photoacoustic signals detected from a plurality of illuminated optical foci regions.

A biological tissue analyzing device configured to analyze a biological tissue using hyperspectral data in which spectral information is associated with each of pixels forming a two-dimensional image and comprising the following (i) and (ii), as well as comprising (iii) and/or (iv): (i) a hyperspectral data acquisition unit configured to acquire the hyperspectral data; (ii) an analysis target region extraction unit configured to extract pixels corresponding to an analysis target region from a two-dimensional image of the biological tissue; (iii) an altered state classification unit configured to roughly classify an altered state of the biological tissue with unsupervised learning; and (iv) an altered state identification unit configured to identify the altered state of the biological tissue with supervised learning.

An observation system includes an observation apparatus including a housing having an arrangement surface for placement of a sample, the sample including a culture medium, and an external illumination unit which is disposed outside the housing and includes at least one light source configured to emit illumination light. At least a part of the arrangement surface is formed of a transparent member having an optically transparent property. The observation apparatus includes an imaging unit which is provided in the housing and includes an image sensor configured to image, via the transparent member, the sample illuminated by the illumination light from the external illumination unit to acquire images of at least three colors.

The present disclosure relates to the field of a soil analysis apparatus. The apparatus comprises an enclosure, a provision for introducing a soil solution to be analyse, reservoir, a plurality of storage containers to store reagent solution, a frame member having a plurality of apertures to support a plurality of dispensing pipes, at least one pump coupled to a control unit and in fluid communication with the storage containers and the reservoir to dispense a predetermined quantity of the reagent and the soil solution into a receptacle. Further, at least one robotic arm assembly coupled with a control unit, traverses within the enclosure to receive the soil solution and reagents solution and to perform a mixing operation to obtain a mixture of soil solution and reagent solution. Further, an image capturing unit is present to capture images of the mixture to analyse the soil properties and nutrient content.

A system and method of analysing drilling cuttings using image data output from a hyperspectral imaging device and at least one optical camera, includes generating a hyperspectral imaging data set including a plurality of lines of hyperspectral data derived from line images taken by the hyperspectral imaging device positioned along a drilling fluid cuttings path, obtaining tracking information in respect of particles of interest from the output of the at least one optical camera, correcting the position of pixels associated with particles of interest in the plurality of lines of hyperspectral imaging data based on the obtained tracking information to generate corrected hyperspectral imaging data, and analysing the corrected hyperspectral imaging data to characterise the cuttings.

An inspection apparatus includes a first optical system configured to irradiate a measurement object with ultraviolet light, a second optical system configured to detect, with a detector, at least one of the specific polarizations and fluorescence of 200 to 400 nm emitted from the measurement object, and a calculation unit that acquires information on an aromatic amino acid and a residue thereof in the irradiated portion according to a detection value of light detected by the detector.

The present disclosure refers to a system for monitoring emissions. The system comprises an appliance with a mobile emission monitoring platform configured to identify and quantify a gas emission; an optional rangefinder configured to determine a size of a gas emission plume and a velocity of the gas emission plume; and an imaging device configured to provide an image. The appliance is mounted to an extendable mast on, for example, a trailer such that the system may provide mobile and continuous monitoring of emissions.

A system and method for mapping a tissue sample is provided. The system includes a light source, a scanner, a digital mirror device (DMD), a light detector, and an analyzer. The DMD has an array of micromirrors. The analyzer controls the light source, controls the scanner, controls the DMD to have on-state micromirrors aligned with a light beam, and other micromirrors in an off-state. The on-state micromirrors direct the light beam to a tissue sample. The analyzer assigns one or more location codes to the on-state micromirrors, controls the light detector to receive Raman light emitted from the tissue sample, correlates the location codes of the on-state micromirrors with light detector signals representative of the Raman emitted light, and produces a spatial map of the Raman emitted light.