Disclosed is a system and method for shaped incoherent light for control (SILC). More particularly, disclosed is a method for controlling the evolution of photo-responsive systems (including chemical species, biochemical species or material compounds) using a device capable of producing shaped incoherent light for such control. The disclosed device integrates a polychromatic incoherent source in an adaptive feedback control loop.

Disclosed is an electrically pumped vertical cavity laser structure operating in the mid-infrared region, which has demonstrated room-temperature continuous wave operation. This structure uses an interband cascade gain region, two distributed mirrors, and a low-loss refractive index waveguide. A preferred embodiment includes at least one wafer bonded GaAs-based mirror.

A spectroscopic laser sensor based on hybrid III-V/IV system-on-a-chip technology. The laser sensor is configured to either (i) be used with a fiber-optic probe connected to an intravenous/intra-arterial optical catheter for direct invasive blood analyte concentration level measurement or (ii) be used to measure blood analyte concentration level non-invasively through an optical interface attached, e.g., to the skin or fingernail bed of a human. The sensor includes a III-V gain-chip, e.g., an AlGaInAsSb/GaSb based gain-chip and a photonic integrated circuit, with laser wavelength filtering, laser wavelength tuning, laser wavelength monitoring, laser signal monitoring and signal output sections realized on a chip by combining IV-based semiconductor substrates and flip-chip AlGaInAsSb/GaSb based photodetectors and embedded electronics for signal processing. Embodiments of the invention may be applied for real-time monitoring of critical blood analyte concentration levels such as lactates, urea, glucose, ammonia, albumin, etc.

Methods and systems for analyzing a sample and generating a predictive model using cavity ring-down spectroscopy are disclosed. At least part of a sample is loaded in a ring-down cavity. For each of a set of wavelengths, a laser beam is generated and directed into the ring-down cavity. The laser beam entering the ring-down cavity is extinguished. Light intensity decay data for light exiting the ring-down cavity is registered via a light intensity sensor system. A probability is determined from the light intensity decay data for the set of wavelengths that a subject from which the sample was received has a physiological condition or a degree of the physiological condition at least indirectly using a dataset of light intensity decay data for previously analyzed samples for which the presence or the absence of the physiological condition or the degree of the physiological condition have been identified.

Systems and methods are disclosed to determine the concentration of a species within a sample. An example method may include collecting optical loss data over a range of frequencies from the sample using a spectroscopy system; placing the optical loss data into a plurality of bins, each bin having a defined frequency width; determining an average optical loss data value for the optical loss values within each bin that have an optical loss value less than a threshold value; removing the optical loss data within each bin having a value outside a tolerance range bounding the average optical loss data value for the respective bin; fitting a spectral curve to the remaining optical loss data; and determining the concentration of the species within the sample based on the spectral curve.

A method of quantifying at least one property of interest of an oil sands ore sample is provided using a laser-induced breakdown spectroscopy (LIBS) method. The property of interest may include bitumen content, water content, particle size information, cation exchange capacity, methylene blue index, mineralogical content (e.g., quartz, total clay, and clay components), amorphous material content, total ash content, and connate water parameter (e.g., conductivity, chloride content, or alkalinity).

The disclosure relates to an infrared spectrometer comprising first and second opposing reflectors spaced apart by a spacing length, and a plurality of discrete concave reflecting facets, the reflecting facets being facets of at least one of the opposing reflectors. An infrared laser source is arranged to form a laser beam. The opposing reflectors are arranged such that the laser beam is reflected alternately from each of the opposing reflectors, including being reflected at least once by each of the reflecting facets. A detector is arranged to detect spectral properties of the laser beam after reflection from each of the plurality of reflecting facets, and an analyser then determines properties of a sample disposed between the first and second opposing reflectors from the detected spectral properties.

A spectroscopic measurement apparatus includes a pulsed laser light source that emits pulsed laser light, a beam splitter that splits the pulsed laser light into pump light and probe light, a delay circuit that changes a delay time of the pump light with respect to the probe light, a chopper that intensity-modulates the pump light, a wavelength converter that wavelength-converts the probe light into vacuum ultraviolet light, an optical system that guides the pump light and the wavelength-converted probe light to a sample, and a detector that detects the probe light reflected by the sample.

Methods and systems for analyzing a sample and generating a predictive model using cavity ring-down spectroscopy are disclosed. At least part of a sample is loaded in a ring-down cavity. For each of a set of wavelengths, a laser beam is generated and directed into the ring-down cavity. The laser beam entering the ring-down cavity is extinguished. Light intensity decay data for light exiting the ring-down cavity is registered via a light intensity sensor system. A probability is determined from the light intensity decay data for the set of wavelengths that a subject from which the sample was received has a physiological condition or a degree of the physiological condition at least indirectly using a dataset of light intensity decay data for previously analyzed samples for which the presence or the absence of the physiological condition or the degree of the physiological condition have been identified.

Embodiments of the disclosure are drawn to apparatuses and methods for anomalous gas concentration detection. A spectroscopic system, such as a wavelength modulated spectroscopy (WMS) system may measure gas concentrations in a target area. However, noise, such as speckle noise, may interfere with measuring relatively low concentrations of gas, and may lead to false positives. A noise model, which includes a contribution from a speckle noise model, may be used to process data from the spectroscopic system. An adaptive threshold may be applied based on an expected amount of noise. A speckle filter may remove measurements which are outliers based on a measurement of their noise. Plume detection may be used to determine a presence of gas plumes. Each of these processing steps may be associated with a confidence, which may be used to determine an overall confidence in the processed measurements/gas plumes.