A non-linear optical pumping detection apparatus and a non-linear optical absorption cross-section measurement method, which can simultaneously measure degenerate and non-degenerate two-photon absorption cross-section spectra. The measurement process is automatic, efficient and fast. The working wavelength band is from 380 nm to near infrared 1064 nm, and the non-linear performance measurement of the super-continuous wide spectra can be realized. A zoom optical system with a larger entrance pupil diameter is adopted as a weak signal acquisition lens. So the weak signal can be effectively extracted from background noise. Meanwhile, the mean square root diameter of an on-axis image point of the zoom optical system is 100 to 150 microns, the divergence angle 2α of the on-axis image point is 30.6 degrees, which well match the optical fiber coupling condition, thereby improving the coupling efficiency of the space light coupling into the optical fiber, and greatly improving the measurement sensitivity.

An optical sensor system may include a light source. The optical sensor system may include a concentrator component proximate to the light source and configured to concentrate light from the light source with respect to a measurement target. The optical sensor system may include a collection component that includes an array of at least two components configured to receive light reflected or transmitted from the measurement target. The optical sensor system may include may a sensor. The optical sensor system may include a filter provided between the collection component and the sensor.

The present invention allows a sample urine to enter an entry hole formed on a shell and to flow through a flow pathway. A part of the sample urine remains in a groove of the flow pathway as collected urine. A measuring module in the shell includes a first side and a second side. The first side includes a light emitting unit and a light sensing unit. The second side includes a lens. The lens is mounted in the groove. The light emitting unit generates a detection beam. The detection beam passes the lens, the collected urine, a reflective mirror, the lens again, and into the light sensing unit. The light sensing unit receives the detection beam and generates a sensing signal. The processing unit generates a detection result signal according to the sensing signal, and a display unit immediately displays a test result of the sample urine.

Fourier Transformation Spectrometer, FT Spectrometer, comprising: A double beam interferometer, comprising: At least one beam splitter unit (622; 623; 624, 625, 626, 627; 636; 673, 674, 675) for splitting an incident light beam (EB) of a spatially expanded object into a first partial beam (TB1) and a second partial beam (TB2); at least a first beam deflection unit (630; 641; 651; 661; 697) designed to deflect the first partial beam (TB1) at least a first and a second time, wherein the second beam deflection unit (630) is designed to also deflect the second partial beam (TB2) at least at first and a second time; or the double beam interferometer comprises a second beam deflection unit (642; 652; 662) designed to deflect the second partial beam (TB2) at least a first and a second time, wherein the beam deflection unit is also designed to at least partially spatially overlay the first partial beam (TB1) and the second partial beam (TB2), and the respectively first and second deflection of the first partial beam (TB1) and of the second partial beam (TB2) generates a lateral shear (s); at least a first field of view discriminator unit (BFD1; 631; 645; 653; 656; 666; 677; 976) arranged such that the first partial beam (TB1) is spatially selected after the splitting and prior to the second deflection; at least a second field of view discriminator unit (BFD2; 632; 646; 654; 657; 667; 678; 977) arranged such that the second partial beam (TB2) is spatially selected after the splitting and prior to the second deflection.

Aspects relate to an optical fluid analyzer including a fluid cell configured to receive a sample fluid. The optical fluid analyzer further includes optical elements configured to seal the fluid cell on opposing sides thereof and to allow input light from a light source to be sent through the fluid cell and output light from the fluid cell to be input to a spectrometer. The optical fluid analyzer further includes a machine learning (ML) engine, such as an artificial intelligence (AI) engine, that is configured to generate a result defining at least one parameter of the fluid based on a spectrum produced by the spectrometer.

An observation device includes an illumination optical system provided on a lower side of an installation position of a multi-well plate, a reflector that reflects light emitted from the illumination optical system, the reflector being provided on an upper side of the installation position, and an observation optical system that condenses the light reflected by the reflector, the observation optical system being provided on the lower side of the installation position. The reflector includes a plurality of curved surfaces where the light emitted from the illumination optical system enters. Each of the plurality of curved surfaces corresponds to one or more wells included in the multi-well plate, has positive power in a first direction in which the illumination optical system and the observation optical system are aligned, and has a center of curvature at a position deviating from a central axis of a well of the multi-well plate.

A method for in situ protection of a surface (7a) of an aluminum layer (7) of a VUV radiation reflecting coating (6) of an optical element (4), arranged in an interior of an optical arrangement, against the growth of an aluminum oxide layer (8), including carrying out an atomic layer etching process for layer-by-layer removal of the aluminum oxide layer from the surface. The etching process includes a surface modification step and a material detachment step. At least one boron halide is supplied as a surface modifying reactant to the interior in pulsed fashion during the surface modification step. A plasma is generated at a surface (8a) of the aluminum oxide layer, at least during the material detachment step. The atomic layer etching process is performed until the aluminum oxide layer reaches a given thickness (D), or the aluminum oxide layer is kept below that thickness (D) by the process.

An imaging system includes a mirror and an imaging device. The mirror includes a body and a conical hole formed in the body. An inner wall surface of the conical hole is a conical mirror. The imaging device faces a first opening of the conical hole and captures an image of a product in the conical hole. A light from a side surface of the product is reflected by the conical mirror to the imaging device and the imaging device captures a side surface image of the product.

A measurement system for obtaining information about a sample comprises an excitation-beam source configured for irradiating the sample with an excitation-beam. The measurement system comprises a probe unit configured for exposing the sample to a probing radiation or a probing field, and a detection unit configured for obtaining a first information about an interaction of the probing radiation or the probing field with the sample, if a plasmon or plasmon-polariton was excited by the excitation-beam, and obtaining a second information about an interaction of the probing radiation of the probing field with the sample, if a plasmon or plasmon-polariton was not excited by the excitation-beam.

Embodiments of this invention relate generally to a miniature multi-spectral system to detection pathogen, biomarkers, or any compound from a sample. In one example, a miniature multi-spectral system comprises a first miniature spectrometer to generate a first spectral output based on a sample, a second miniature spectrometer to generate a second spectral output based on the sample, and a processor coupled to the first and the second miniature spectrometers. The processor is configured to execute instructions to perform data fusion of the first and second spectral outputs to generate fused data, and to apply artificial intelligence (AI) of an AI module to the fused data to identify a pathogen, biomarker, or any compound from the sample.