The disclosed embodiments include thin film multivariate optical element and detector combinations, thin film optical detectors, and downhole optical computing systems. In one embodiment, a thin film multivariate optical element and detector combination includes at least one layer of multivariate optical element having patterns that manipulate at least one spectrum of optical signals. The thin film multivariate optical element and detector combination also includes at least one layer of detector film that converts optical signals into electrical signals. The thin film optical detector further includes a substrate. The at least one layer of multivariate optical element and the at least one layer of detector film are deposited on the substrate.

In some implementations, a device may determine that an unknown sample is an outlier sample by using an aggregated classification model. The device may determine that one or more spectroscopic measurements are not performed accurately based on determining that the unknown sample is the outlier sample. The device may cause one or more actions based on determining the one or more spectroscopic measurements are not performed accurately.

A stimulated Raman scattering microscope device is configured to irradiates a sample with a first optical pulse at a first repetition frequency, to irradiate the sample with a second optical pulse of an optical frequency different from an optical frequency of the first optical pulse at a second repetition frequency, and to detect optical pulses of the first repetition frequency that are included in detected light from the sample irradiated with the first optical pulse and the second optical pulse, as a detected optical pulse train. The second optical pulse is generated by dispersing predetermined optical pulses that include lights of a plurality of optical frequencies, regulating to output optical pulses of a predetermined number of different optical frequencies out of the dispersed optical pulses at the second repetition frequency, and coupling the regulated optical pulses.

The present disclosure generally pertains to an imaging apparatus for computed tomography imaging spectroscopy, which has circuitry configured to: obtain object image data being representative of light stemming from an object and being subject to an optical path and to a multiplexing process caused by a diffraction grating; and perform a spectral density reconstruction from an image of the object by inputting the obtained object image data into an spectral density reconstruction algorithm being configured to numerically solve a first equation describing the transformation of the light stemming from the object caused by the optical path into the object image based on a reduction of a dimensionality of a first function indicative of the optical path based on a symmetry of the first function, thereby reconstructing the spectral density of the object.

A three-dimensional Raman image mapping measuring device for a flowable sample according to an embodiment of the present disclosure is designed to be capable of measuring a flowable sample during mapping measurement of a three-dimensional image that is a region of a confocal Raman by using a micro Raman spectrometer and a three-axis sample stage (Piezo stage). The three-dimensional Raman image mapping measuring device for a flowable sample includes at least one piezo element; an element holder equipped with the piezo element and having an opening, a sample stage for supporting the element holder equipped with the piezo element, an objective lens mounted in the opening in the element holder, a sample holder for controlling vertical movement of the flowable sample disposed under the lower portion of the sample stage, and a transparent window disposed between the sample stage and the sample holder.

The present disclosure provides a spectral imaging chip and apparatus, an information processing method, a fingerprint living body identification device and a fingerprint module. The spectral imaging chip can obtain spectral information of a captured object without affecting the spatial resolution and imaging quality of the resulting image, which is convenient for grasping more comprehensive information of the object to be imaged. The fingerprint living body identification device and fingerprint module can realize fingerprint living body identification through the spectral imaging chip, which is advantageous to improve the stability of the component performance, while reducing the volume, weight and cost of the spectral components, greatly improving the anti-counterfeiting ability of the fingerprint identification system.

A two-layer hybrid solid wedged etalon was fabricated and combined with a traditional imager to make a compact computational spectrometer. The hybrid wedge was made of Nb.sub.2O.sub.5 and Infrasil 302 and was designed to operate from 0.4-2.4 μm. Initial demonstrations used a CMOS imager and operated from 0.4-0.9 μm with spectral resolutions <30 cm.sup.−1 from single snapshots. The computational spectrometer operates similarly to a spatial Fourier Transform infrared (FTIR) spectrometer with spectral reconstruction using a non-negative least squares fitting algorithm based on analytically computed wavelength response vectors determined from extracted physical thicknesses across the entire two-dimensional wedge. This computational technique resulted in performance and spectral resolutions exceeding those that could be achieved from Fourier techniques. With an additional imaging lenses and translational scanning, the system can be converted into a hyperspectral imager.

Various embodiments disclosed herein describe a divided-aperture infrared spectral imaging (DAISI) system that is adapted to acquire multiple IR images of a scene with a single-shot (also referred to as a snapshot). The plurality of acquired images having different wavelength compositions that are obtained generally simultaneously. The system includes at least two optical channels that are spatially and spectrally different from one another. Each of the at least two optical channels are configured to transfer IR radiation incident on the optical system towards an optical FPA unit comprising at least two detector arrays disposed in the focal plane of two corresponding focusing lenses. The system further comprises at least one temperature reference source or surface that is used to dynamically calibrate the two detector arrays and compensate for a temperature difference between the two detector arrays.

Carbon fiber characterization processes are described that include multi-condition Raman spectroscopy-based examination combined with multivariate data analyses. Methods are a nondestructive material characterization approach that can provide predictions as to carbon fiber bulk physical properties, as well as identification of unknown carbon fiber materials for quality control purposes. The framework of the multivariate analysis methods includes a principal component-based identification protocol including comparison of Raman spectral data from an unknown carbon fiber with a data library of multiple principal component spaces.

A mobile device includes one or more spectrometers, each with a plurality of spectral filters overlaying optical sensors, each of the one or more spectrometers having a sensing range within a predetermined range of optical wavelengths. Each of the one or more spectrometers is further positioned in the mobile device to capture light radiation incident to the mobile device and output information representative of captured light radiation to a processing module adapted to receive the output information and determine an accumulated light radiation for the mobile device. A notification engine is adapted to signal a user when the accumulated light radiation exceeds a predetermined threshold.