An apparatus for measuring spectral components of Raman-scattered light emitted by target. The apparatus includes: pulsed laser light source to emit light; probe optics to direct light towards target and to collect light scattered by target; optical spectrometer including: input divider to divide collected light into first and second light beams; first spectrograph including input apertures for receiving said light beams and optical disperser to disperse said light beams; second spectrograph comprising input apertures and output apertures; and spatial light modulator to receive dispersed first and second light beams and to selectively provide at least part of at least one of dispersed first and second light beams to input aperture of second spectrograph which reverses dispersion of light beam and focuses light beam to output aperture; detector element to measure spectral components of light beam exiting output aperture. Optical spectrometer further includes delay line(s) line for delaying light beam(s).

An apparatus for measuring spectral components of Raman-scattered light emitted by target. The apparatus includes: pulsed laser light source to emit light; probe optics to direct light towards target and to collect light scattered by target; optical spectrometer including: input divider to divide collected light into first and second light beams; first spectrograph including input apertures for receiving said light beams and optical disperser to disperse said light beams; second spectrograph comprising input apertures and output apertures; and spatial light modulator to receive dispersed first and second light beams and to selectively provide at least part of at least one of dispersed first and second light beams to input aperture of second spectrograph which reverses dispersion of light beam and focuses light beam to output aperture; detector element to measure spectral components of light beam exiting output aperture. Optical spectrometer further includes delay line(s) line for delaying light beam(s).

A Raman sensor includes a light source assembly having a plurality of light sources configured to emit light to a plurality of skin points of skin, each of the plurality of skin points having a predetermined separation distance from a light collection region of the skin from which Raman scattered light is collected; a light collector configured to collect the Raman scattered light from the light collection region of the skin; and a detector configured to detect the collected Raman scattered light.

Method to identify microorganisms in a sample, by evaluating the vibrational profile.

Disclosed is a method for quantification of water and/or one or more ionic liquid components in an ionic liquid (IL)/water (H2O) mixture. The method includes obtaining one or more Raman spectra for the IL/H2O mixture, and using a quantitative calibration model with the one or more Raman spectra to quantify water and/or one or more ionic liquid components in the IL/H2O mixture.

Disclosed is a method for quantification of water and/or one or more ionic liquid components in an ionic liquid (IL)/water (H2O) mixture. The method includes obtaining one or more Raman spectra for the IL/H2O mixture, and using a quantitative calibration model with the one or more Raman spectra to quantify water and/or one or more ionic liquid components in the IL/H2O mixture.

Disclosed is a method for processing Raman data of eosinophil based on artificial intelligence, the method being executed by a device, the method including generating Raman data by performing Raman analysis using a specific wavelength on eosinophils isolated from blood of a diagnosed person, pre-processing the generated Raman data, assigning a weight to the pre-processed Raman data for each of components including a nucleus, a cell membrane, a granule, and a background, classifying data for each component based on a result of assigning the weight, extracting data in which the component is the granule based on a classified result; and determining whether a specific disease has occurred in the diagnosed person through eosinophil characteristics of the diagnosed person based on the extracted data.

A handheld Surface-Enhanced Raman Spectroscopy (SERS) device for detecting phenylalanine (Phe) in a sample collected from a subject, the device comprising a laser generator configured to produce a laser beam; a nanoporous anodic aluminum oxide (NAAO) substrate configured to receive the sample collected from the subject; and a light sensor configured to receive a light.

An apparatus includes a measurement chamber configured to retain one or more sample substances. The apparatus includes an entrance window mounted on a side of the measurement chamber. The apparatus includes a light source configured to generate an incident light beam. The apparatus includes a Raman sensor configured to collect inelastically scattered light from the chamber, and measure an intensity of a Raman peak of a first substance from the one or more sample substances based on the collected inelastically scattered light. The apparatus further includes a processor configured to (i) calculate a concentration of the first substance based on at least the measured intensity of the Raman peak of the first substance, (ii) determine the end point of a wafer cleaning process based on a calculated concentration of the first substance, and (iii) terminate the wafer cleaning process based on the determined end point.

An apparatus includes a measurement chamber configured to retain one or more sample substances. The apparatus includes an entrance window mounted on a side of the measurement chamber. The apparatus includes a light source configured to generate an incident light beam. The apparatus includes a Raman sensor configured to collect inelastically scattered light from the chamber, and measure an intensity of a Raman peak of a first substance from the one or more sample substances based on the collected inelastically scattered light. The apparatus further includes a processor configured to (i) calculate a concentration of the first substance based on at least the measured intensity of the Raman peak of the first substance, (ii) determine the end point of a wafer cleaning process based on a calculated concentration of the first substance, and (iii) terminate the wafer cleaning process based on the determined end point.