An imaging system includes: a first light source that emits first light having a spectrum including discrete first frequency components arranged at first frequency intervals; a second light source that emits second light having a spectrum including discrete second frequency components arranged at second frequency intervals, the second frequency intervals being different from the first frequency intervals; a mixing optical system that mixes the first light and the second light to generate third light including at least one optical beat the intensity of which changes at a beat frequency expressed by the difference between at least one of the discrete first frequency components and at least one of the discrete second frequency components; an imaCCging element having a variable sensitivity in an exposure period; and a control circuit that changes the sensitivity of the imaging element at the beat frequency of the at least one optical beat.

Disclosed is a method for classifying monitoring results from an analytical sensor system (20), by allowing (100) a first set of analyte sample solutions to interact with a ligand (3) and acquiring (101) a set of response data, extracting (102) at least one interaction parameter from the response data, and for each analyte sample solution providing (103) a trained machine learning algorithm with the interaction parameter(s). The trained machine learning algorithm classifies (104) each analyte sample solution based on the interaction parameter(s) into at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3). The machine learning algorithm is trained (200) using a set of interaction parameters extracted from response data obtained from interactions between a second set of analyte sample solutions with at least one ligand (3), and at least one quality classification group indicative of the interaction of the analyte sample solution with the ligand (3).

There is provided a method of detecting a change of a state of a liquid comprising the steps of: •providing a liquid detection medium (12) comprising a liquid and having a plurality of anisotropic magnetic particles suspended therein; •applying a modulated magnetic field across at least a portion of the liquid detection medium (12), wherein the magnetic field induces an alignment of the magnetic particles; •introducing electromagnetic radiation (22) into the liquid detection medium (12); •detecting a variable which is modulated by the applied magnetic field, wherein the variable is associated with the interaction of the electromagnetic radiation (22) with the magnetic particles and wherein the change in the state of the liquid causes a variation in the detected variable; and •correlating the variation in the detected variable with the change in the state of the liquid.

A device may obtain a master beta coefficient of a master calibration model associated with a master instrument. The master beta coefficient may be at a grid of a target instrument. The device may perform constrained optimization of an objective function, in accordance with a set of constraints, in order to determine a pair of transferred beta coefficients. The constrained optimization may be performed based on an initial pair of transferred beta coefficients, the master beta coefficient, and spectra associated with a scouting set. The device may determine, based on the pair of transferred beta coefficients, a transferred beta coefficient. The device may determine a final transferred beta coefficient based on a set of transferred beta coefficients including the transferred beta coefficient. The final transferred beta coefficient may be associated with generating a transferred calibration model, corresponding to the master calibration model, for use by the target instrument.

A method of optical analysis comprises receiving light at an optical spectrometer module from a light source, distributing the received light into two or more light beams with a light distribution component of the optical spectrometer module, concurrently exposing each of a reference and one or more test samples to one of the two or more light beams, and concurrently measuring a property of the light associated with each of the reference sample and one or more test samples with a corresponding detector.

Techniques for acquiring and processing data in combination with a photonic sensor system-on-a-chip (SoC) (1) to provide real-time calibrated concentration levels of an analyte (e.g., a constituent molecule within a biological substance) are described. A raw signal (1300) to be analyzed is collected by the sensor chip (1) via diffuse reflectance or transmittance. Determination of the analyte concentration is based on, in part, Beer-Lambert principles and facilitated by applying (2240) scattering correction to the raw signal (1300) prior to decomposition and analysis thereof.

A fine ratio measuring device that measures a ratio of fines adhering to the surface of a material in the form of lumps, the fine ratio measuring device includes: an illumination unit that illuminates the material in the form of lumps; a spectrometer that performs spectral analysis on light reflected from the material in the form of lumps to measure spectral reflectance; and an arithmetic device that extracts at least one feature quantity from the spectral reflectance measured by the spectrometer and computes the fine ratio from the extracted at least one feature quantity.

A fine ratio measuring device that measures a ratio of fines adhering to the surface of a material in the form of lumps, the fine ratio measuring device includes: an illumination unit that illuminates the material in the form of lumps; a spectrometer that performs spectral analysis on light reflected from the material in the form of lumps to measure spectral reflectance; and an arithmetic device that extracts at least one feature quantity from the spectral reflectance measured by the spectrometer and computes the fine ratio from the extracted at least one feature quantity.

Building blocks are provided for on-chip chemical sensors and other highly-compact photonic integrated circuits combining interband or quantum cascade lasers and detectors with passive waveguides and other components integrated on a III-V or silicon. A MWIR or LWIR laser source is evanescently coupled into a passive extended or resonant-cavity waveguide that provides evanescent coupling to a sample gas (or liquid) for spectroscopic chemical sensing. In the case of an ICL, the uppermost layer of this passive waveguide has a relatively high index of refraction that enables it to form the core of the waveguide, while the ambient air, consisting of the sample gas, functions as the top cladding layer. A fraction of the propagating light beam is absorbed by the sample gas if it contains a chemical species having a fingerprint absorption feature within the spectral linewidth of the laser emission.

Building blocks are provided for on-chip chemical sensors and other highly-compact photonic integrated circuits combining interband or quantum cascade lasers and detectors with passive waveguides and other components integrated on a III-V or silicon. A MWIR or LWIR laser source is evanescently coupled into a passive extended or resonant-cavity waveguide that provides evanescent coupling to a sample gas (or liquid) for spectroscopic chemical sensing. In the case of an ICL, the uppermost layer of this passive waveguide has a relatively high index of refraction that enables it to form the core of the waveguide, while the ambient air, consisting of the sample gas, functions as the top cladding layer. A fraction of the propagating light beam is absorbed by the sample gas if it contains a chemical species having a fingerprint absorption feature within the spectral linewidth of the laser emission.