A sampling module for providing an illumination beam onto an object and collecting a measurement beam reflected thereby to at least one measurement device is provided. The sampling module includes at least one illumination module, a light collecting element, and at least one light receiving module. The illumination module provides the illumination beam. The light collecting element has a first opening and an internal space. The illumination module is disposed in the first opening. The illumination beam is transmitted to the object in the internal space. The light receiving module is connected to the light collecting element and includes a case and a lens set. A distance between the sampling module and the object is greater than 0 mm. The measurement beam is transmitted by the object through the lens set to be incident onto the measurement device.

An spectral sensor system includes an array of optical sensors arranged on an integrated circuit, an interface between the plurality of optical sensors and a first processing device, a plurality of sets of optical filters configured as a layer located atop the plurality of optical sensors, with each set of optical filters including a plurality of optical filters, each optical filter configured to pass light in a different wavelength range. The spectral sensor system includes a memory configured to interface with the first processing device, the memory configured to store calibration data associated with the plurality of sets of optical sensors. The spectral sensor system further includes second processing device includes an artificial neural network configured to correct a spectral response generated by the plurality of optical sensors and an interface between the first processing device and the second processing device is configured to transmit information therebetween.

Apparatuses and methods for microscopic analysis of a sample using spatial light manipulation to increase signal to noise ratio are described herein.

A light detection device includes: a first support part disposed on a mounting surface of the wiring board; a Fabry-Perot interference filter disposed in a first support region of the first support part; and a temperature detector, wherein the temperature detector is disposed on the mounting surface such that at least a part of the temperature detector overlaps a part of the Fabry-Perot interference filter when seen in a first direction perpendicular to the mounting surface and such that at least a part of the temperature detector overlaps a part of the first support part when seen in a second direction in which the first support part and the light detector are aligned with each other, and wherein a first distance between the temperature detector and the first support part in the second direction is smaller than a first width of the first support region in the second direction.

A self-calibrating spectrometer that captures a sample spectrum image of a sample via a light dispersion device and a calibration spectrum image of a calibration light source having a known spectrum (e.g., in the same image frame using a bifurcated fiber optic cable). Spectral data is extracted from the sample spectrum image and wavelength calibrated by matching calibration spectral data extracted from the calibration spectrum image to the known spectrum of the calibration light source, mapping each pixel position of the calibration spectrum image to a wavelength of the known spectrum of the calibration light source, and mapping each pixel position of the sample spectral data to a wavelength based on the pixel position-to-wavelength mapping. In some embodiments, extracted features from the wavelength calibrated spectral data are used by classification module, trained on a dataset of features extracted from spectral data of known samples, to classify the sample.

A spectral imager (100) may use an entrance telescope (10) to spatially image an object (O1), at least in the across-slit direction (X), onto a physical slit (Se) of a spectrometer (20). The spectrometer (20) may include a slit homogenizer (24) such as a rod lens configured to spatially image an aperture stop (AS) in the across-slit direction (X) as a virtual slit image (Ih). Formation of a detection image (Id) which is spectrally resolved along a spectral axis (X′) may includes spatially imaging the virtual slit image (Ih), at least in the across-slit direction (X), at a detector plane (Pd). This may achieve a more homogeneous illumination of the spectrometer slit and improve measurement accuracy and reproducibility.

A detector device for the remote analysis of materials, in particular hazardous materials, including at least one laser, which is designed to emit pulsed laser light onto a sample located at a detection distance, and a telescope, which is designed to collect and/or focus laser light scattered on the sample and to forward the scattered laser light into an optical spectrometer. The optical spectrometer is designed for a spectral analysis of the laser light scattered on the sample. The laser is followed by a first beam path with a first reference beam and an additional beam path with a second reference beam for the scattered laser light. A unit is provided for determining a time difference between pulses of the first reference beam and pulses of the second reference beam, wherein the detection distance can be determined from the time difference. The unit is designed to determine the detection distance in real-time.

In an illustrative configuration, a method for monitoring air quality is disclosed. The method includes accepting analyte gas into a cell and reflecting light rays into the analyte gas repeatedly across the cell into at least one sensor. The light scattered by particulate matter in the analyte gas and amount of spectra-absorption due to presence of a gaseous chemical is then measured. Based on the determined amount of spectra-absorption and the measured scattered light the gaseous chemical is then measured.

Apparatuses and methods for microscopic analysis of a sample using spatial light manipulation to increase signal to noise ratio are described herein.

Aspects relate to a handheld spectroscopy scanner including an optical window configured to receive a sample and a housing having the optical window thereon. The housing further includes therein a light source and a spectral sensor including a light modulator and a detector. The scanner housing further includes a processor configured to receive a spectrum of the sample from the spectral sensor based on interaction of light produced by the light source with the sample on the optical window. The processor is further configured to produce spectral data based on the sample spectrum for input to an artificial intelligence engine to produce a result based on the spectral data. In addition, the scanner housing may include a flange holding the light source and a heat sink configured to dissipate the internal heat generated. The housing further includes a cavity forming a handle for easy operation of the handheld spectroscopy scanner.