Abstract: One embodiment provides an optical spectrometer. The optical spectrometer can include a lens-and-filter system configured to collect light scattered from a sample, a spot converter configured to convert a substantially circular beam outputted from the lens-and-filter system into a substantially rectangular beam, and a slit comprising a rectangular aperture to allow a predetermined portion of the substantially rectangular beam to enter the rectangular aperture while blocking noise. The slit can further include at least one microelectromechanical systems (MEMS)-based movable structure configured to adjust a width of the rectangular aperture.

Abstract: An apparatus includes a housing and a chamber. The chamber is configured to hold analyte. The chamber includes a reflective element, either a reflective coated layer or a reflective mirror, to return optical signals entering the analyte. A window is coated with an anti-reflective material or has negligible optical interference. A cap seals the chamber and the housing. A flow channel is provided within the housing and the chamber assembly to allow the analyte to flow through with reduced bubble entrapment as the cap is tightened to seal the chamber assembly.

Abstract: One embodiment provides an optical spectrometer. The optical spectrometer can include a lens-and-filter system configured to collect light scattered from a sample, a spot converter configured to convert a substantially circular beam outputted from the lens-and-filter system into a substantially rectangular beam, and a slit comprising a rectangular aperture to allow a predetermined portion of the substantially rectangular beam to enter the rectangular aperture while blocking noise. The slit can further include at least one microelectromechanical systems (MEMS)-based movable structure configured to adjust a width of the rectangular aperture.

Abstract: One embodiment provides an apparatus for facilitating raster scanning of an optical spectrometer. The apparatus can include an enclosure, a lens holder situated within the enclosure, and an actuation mechanism coupled to the lens holder. The lens holder is configured to hold a lens that focuses excitation light onto a sample surface, and the actuation mechanism is configured to cause the lens holder to perform a motion according to a predetermined pattern, thereby causing the focused excitation light to raster scan the sample surface.

Abstract: An optical window for an imaging system such as a Raman spectrometer, NIR spectrometer, fluorometer, or hyperspectral camera is configured to contact the subject. It includes: a substrate; and a flexible medium, where the flexible medium is configured to be deformed with substantially the same profile as that of the outer surface of the subject. The refractive index of the flexible medium and substrate is selected such that light collection efficiency and/or imaging quality returned to the measurement system increases after application of the optical window.

Abstract: Verification systems for testing food products or other samples may include a mobile analytical device, a mobile accessory device such as a smart phone, and a remote, e.g., cloud-based, computing system. The mobile analytical device is adapted to generate a sensor output that is indicative of a molecular composition of the sample. The mobile accessory device may be adapted to receive the sensor output from the mobile analytical device. The remote computing system may be adapted to analyze analytical data using artificial intelligence (AI) and/or machine learning (M-L) to make an authentication determination of the sensor output relative to a predefined product database. The mobile accessory device may be adapted to upload the sensor output to the remote computing system by a communication network, and the remote computing system may be adapted to download the authentication determination to the mobile accessory device by the same communication network.

Abstract: Verification systems for testing food products or other samples include a mobile analytical device, a mobile accessory device such as a smart phone, and a remote, e.g., cloud-based, computing system. The mobile analytical device is adapted to generate a sensor output that is characteristic of the sample. The mobile accessory device may be adapted to receive the sensor output from the mobile analytical device. The remote computing system may be adapted to analyze analytical data using artificial intelligence (AI) and/or machine learning (M-L) to make an authentication determination of the sensor output relative to a. predefined product database. The mobile accessory device may be adapted to upload the sensor output to the remote computing system by a communication network, and the remote computing system may be adapted to download the authentication determination to the mobile accessory device by the communication network.