Abstract: Aspects of the disclosure relate to an apparatus including an opto-electrical probe card platform for wafer-level testing of optical micro-electro-mechanical-systems (MEMS) structures. The probe card platform includes an electrical probe card including alignment needles for aligning with an optical MEMS structure during testing thereof. The probe card platform further includes an optical head configured to direct input light to towards the optical MEMS structure through the electrical probe card and an optical positioner attached to the electrical probe card and configured to align the optical head. The apparatus may further include a camera and a processor configured to process at least one image obtained by the camera and to generate alignment assistance data to assist the optical positioner in aligning the optical head.

Abstract: Aspects relate to a self-calibrated and self-referenced spectral sensor. The spectral sensor includes an optical head that includes a light source configured to produce input light, an optical window above the light source and through which the input light is directed towards a sample in a sample measurement mode, and a reflection flag (for self-calibration and self-referencing) that is moveable between a first position beneath the optical window within a light path of the input light in a reference measurement mode and a second position away from the light path in the sample measurement mode. The spectral sensor further includes an optical core module and a processor configured to produce a reference PSD in the reference measurement mode and a sample PSD in the sample measurement mode. The processor is further configured to correct the sample PSD based on the reference PSD to produce a sample spectrum.

Abstract: 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.

Abstract: Aspects relate to mechanisms to control the effective optical path length through skin tissue for non-invasive optical spectroscopy measurements. An apparatus can include a path length control part configured to control the effective optical path length of diffusely scattered light transmitted through skin tissue to produce a target effective optical path length. The apparatus may further include a spectral sensor, a detector, and a light source configured to produce input light directed towards the path length control part or the spectral sensor. The detector is configured to obtain a spectrum of an analyte under test based on the diffusely scattered light. The spectral sensor is configured to either receive the input light, produce modulated light based on the input light, and direct the modulated light to the skin tissue, or to receive the diffusely scattered light from the skin tissue and obtain the spectrum using the detector.

Abstract: Aspects relate to on-line compensation of instrumental drifts in miniaturized spectrometers due to variations in environmental conditions and due to other sources of instrumental drift. The spectrometer may include a light modulator, a detector, and a processor. The spectrometer may further include a sensor configured to obtain a value of a condition contributing to instrumental drifts in the spectrometer. The processor may be configured to extract a set of correction parameters from a correction matrix associating a plurality of sets of correction parameters with sensor values based on the value and to apply the set of correction parameters to an output of the detector to produce a corrected spectrum of a sample under test. The correction matrix may be generated for the spectrometer or may be based on a global correction matrix fitted to the spectrometer.

Abstract: Aspects relate to a compact and low-cost gas analyzer that can be used for different types of gas analysis, such as air quality analysis. The gas analyzer can include a light source, a gas cell configured to receive a sample (e.g., a gas under test), a spectral sensor including a spectrometer and a detector, and an artificial intelligence (AI) engine. Light can enter the gas cell and interact with the sample to produce output light that may be measured by the spectral sensor. The resulting spectrum produced by the spectral sensor may be analyzed by the AI engine to produce a result. The gas analyzer further includes a self-calibration component configured to enable calibration of the sample spectrum to compensate for spectral drift of the spectral sensor.

Abstract: Aspects relate to an optical device providing a large spot size spectrometer. The optical device includes an optical head, an optical window, and a spectrometer. The optical head includes a plastic molded part having an aperture and a plurality of reflectors around the aperture formed therein. Each reflector may include a respective lamp assembled therein. The optical window is configured to receive a sample, to pass input light from the lamps to the sample and to pass scattered light from the sample towards the aperture. The aperture is configured to filter a first portion of scattered light containing unusable sample information and to pass a second portion of the scattered light to the spectrometer.

Abstract: Aspects relate to a spectral analyzer that can be used for biological sample detection. The spectral analyzer includes an optical window configured to receive a sample and a spectral sensor including a chassis having various component assembled thereon. Examples of components may include a light source, a light modulator, illumination and collection optical elements, a detector, and a processor. The spectral analyzer is configured to obtain spectral data representative of a spectrum of the sample using, for example, an artificial intelligence (AI) engine. The spectral analyzer further includes a thermal separator positioned between the light modulator and the light source.

Abstract: Aspects relate to mechanisms for enhancing the coupling of scattered light from a sample under test into a spectrometer. An optical device can include a reflective surface positioned apart from the sample and configured to receive a first portion of scattered light from the sample and to redirect the first portion of the scattered light back to one or more discrete spots on the sample in a non-random manner to produce redirected scattered light from the sample. The spectrometer may then be configured to receive coupled light from the sample including at least a portion of the redirected scattered light.

Abstract: Aspects of the disclosure relate to an apparatus including an opto-electrical probe card platform for wafer-level testing of optical micro-electro-mechanical-systems (MEMS) structures. The probe card platform includes an electrical probe card including alignment needles for aligning with an optical MEMS structure during testing thereof. The probe card platform further includes an optical head configured to direct input light to towards the optical MEMS structure through the electrical probe card and an optical positioner attached to the electrical probe card and configured to align the optical head. The apparatus may further include a camera and a processor configured to process at least one image obtained by the camera and to generate alignment assistance data to assist the optical positioner in aligning the optical head.

Abstract: Aspects relate to a spectral modeling system for building chemometrics (calibration) models for spectral devices targeting ultra-wide-scale deployment. The spectral modeling system includes a spectral converter for generating a plurality of artificial spectra using spectral data of a plurality of samples measured by a subset of a plurality of spectral devices and spectral device characteristics representing spectral variations in the plurality of spectral devices. The spectral modeling system further includes a chemometrics engine for generating a chemometrics model for one or more parameters associated with the plurality of samples based on the spectral data and the plurality of artificial spectra.

Abstract: Aspects relate to on-line compensation of instrumental drifts in miniaturized spectrometers due to variations in environmental conditions and due to other sources of instrumental drift. The spectrometer may include a light modulator, a detector, and a processor. The spectrometer may further include a sensor configured to obtain a value of a condition contributing to instrumental drifts in the spectrometer. The processor may be configured to extract a set of correction parameters from a correction matrix associating a plurality of sets of correction parameters with sensor values based on the value and to apply the set of correction parameters to an output of the detector to produce a corrected spectrum of a sample under test. The correction matrix may be generated for the spectrometer or may be based on a global correction matrix fitted to the spectrometer.

Abstract: 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.

Abstract: Aspects relate to a spectral analyzer that can be used for biological sample detection. The spectral analyzer includes an optical window configured to receive a sample and a spectral sensor including a chassis having various component assembled thereon. Examples of components may include a light source, a light modulator, illumination and collection optical elements, a detector, and a processor. The spectral analyzer is configured to obtain spectral data representative of a spectrum of the sample using, for example, an artificial intelligence (AI) engine. The spectral analyzer further includes a thermal separator positioned between the light modulator and the light source.

Abstract: Aspects relate to a compact and low-cost gas analyzer that can be used for different types of gas analysis, such as air quality analysis. The gas analyzer can include a light source, a gas cell configured to receive a sample (e.g., a gas under test), a spectral sensor including a spectrometer and a detector, and an artificial intelligence (AI) engine. Light can enter the gas cell and interact with the sample to produce output light that may be measured by the spectral sensor. The resulting spectrum produced by the spectral sensor may be analyzed by the AI engine to produce a result. The gas analyzer further includes a self-calibration component configured to enable calibration of the sample spectrum to compensate for spectral drift of the spectral sensor.

Abstract: Aspects relate to a spectroscopic analyzer device that can be used for biological sample detection, and specifically for virus infection detection. The spectroscopic analyzer device includes a spectrometer, such as a micro-electro-mechanical systems (MEMS) based infrared spectrometer, and an artificial intelligence (AI) for screening of viral samples. In addition, the spectroscopic analyzer device includes a light source and a disposable optical component configured to receive a sample and to facilitate light interaction with the sample.

Abstract: Aspects relate to an optical device providing a large spot size spectrometer. The optical device includes an optical head, an optical window, and a spectrometer. The optical head includes a plastic molded part having an aperture and a plurality of reflectors around the aperture formed therein. Each reflector may include a respective lamp assembled therein. The optical window is configured to receive a sample, to pass input light from the lamps to the sample and to pass scattered light from the sample towards the aperture. The aperture is configured to filter a first portion of scattered light containing unusable sample information and to pass a second portion of the scattered light to the spectrometer.

Abstract: A shadow mask having two or more levels of openings enables selective step coverage of micro-fabricated structures within a micro-optical bench device. The shadow mask includes a first opening within a top surface of the shadow mask and a second opening within the bottom surface of the shadow mask. The second opening is aligned with the first opening and has a second width less than a first width of the first opening. An overlap between the first opening and the second opening forms a hole within the shadow mask through which selective coating of micro-fabricated structures within the micro-optical bench device may occur.

Abstract: Aspects relate to mechanisms for increasing the field of view of a spectrometer. An optical device may be configured to simultaneously couple light from different locations (spots) on a sample to the spectrometer to effectively increase the spectrometer field of view. The optical device can include a beam combiner and at least one reflector to reflect light beams from respective spots on the sample towards the beam combiner. The beam combiner can combine the received light beams from the different spots to produce a combined light beam that may be input to the spectrometer.

Abstract: Aspects of the disclosure relate to a self-referenced spectrometer for providing simultaneous measurement of a background or reference spectral density and a sample or other spectral density. The self-referenced spectrometer includes an interferometer optically coupled to receive an input beam and to direct the input beam along a first optical path to produce a first interfering beam and a second optical path to produce a second interfering beam, where each interfering beam is produced prior to an output of the interferometer. The spectrometer further includes a detector optically coupled to simultaneously detect a first interference signal produced from the first interfering beam and a second interference signal produced from the second interfering beam, and a processor configured to process the first interference signal and the second interference signal and to utilize the second interference signal as a reference signal in processing the first interference signal.