A method for estimating an input spectrum from sensor data acquired by an optical sensor assembly, having an aperture, a Fabry-Perot interferometer, and an optical sensor element, the method including: obtaining first calibration data representative of a spectral response function of the optical sensor assembly for a first setting of the aperture; computing second calibration data from the first calibration data, the second calibration data being representative of a spectral response function of the optical sensor assembly for a second setting of the aperture, where the second setting corresponds to a setting applied during the acquiring of the sensor data; and estimating the input spectrum as a function of the second calibration data and the sensor data. Additionally, a corresponding system for estimating an input spectrum

A new spectral measurement technique is provided which enables measurement even if the light to be measured exists for a very short period. In one embodiment, a broadband pulsed light wave whose wavelength shifts temporally and continuously in a pulse interferes with a light wave to be measured. The intensity at each wavelength of the light wave to be measured is obtained using a Fourier transform of the output signal from a detector that has detected the intensity of the wave resulting from the interference. A laser beam from a laser source is converted to a supercontinuum wave by a nonlinear optical element, and a pulse extension element extends pulses of the supercontinuum wave, thus generating the broadband pulsed light wave.

A method for determining crystal phases of a glass ceramic sample, including the steps of applying energy to the sample using an excitation source, detecting raw Raman spectral energy that is given off by the sample using a detector, wherein the raw Raman spectral energy includes peak values, determining a plurality of predetermined energy peaks based off a composition of the sample, superimposing the plurality of predetermined energy peaks over the raw Raman spectral energy, applying a baseline value between each predetermined energy peak, subtracting the baseline value from the raw Raman spectral energy, calculating corrected peak values based on the raw Raman spectral energy and baseline value, and determining the crystal phases of the glass ceramic sample based on the corrected peak values.

A method for configuring a target spectrometry device using a reference spectrometry device. The method involves: acquiring spectral measurements for a set of reference samples with the reference spectrometer and storing the spectral measurements in a reference database; acquiring target spectral measurements for a sub-set of reference samples with the target spectrometer and storing the spectral measurements in a target database; determining an average spectrum for each reference sample from the reference and target spectral measurements; determining a series of spectra for each average spectrum, which includes determining an optical transfer function of the target spectrometer and applying the optical transfer function to each average spectrum measured by the reference spectrometer; and storing the average spectrum and series of spectra of each reference sample in the target database. The determining steps use a computing module. Also, a spectrometry device configured for the method.

One or more embodiments described herein generally relate to systems and methods for calibrating an optical emission spectrometer (OES) used for processing semiconductor substrates. In embodiments herein, a light fixture is mounted to a plate within a process chamber. A light source is positioned within the light fixture such that it provides an optical path that projects directly at a window through which the OES looks into the process chamber for its reading. When the light source is on, the OES measures the optical intensity of radiation from the light source. To calibrate the OES, the optical intensity of the light source is compared at two separate times when the light source is on. If the optical intensity of radiation at the first time is different than the optical intensity of radiation at the second time, the OES is modified.

A method for assessing spectroscopic sensor accuracy, includes building an a priori simulation of generalized etalon drift. A spectroscopic sensor is tested to determine use parameters. A specific drift model is generated by applying the determined use parameters to the built a priori simulation of generalized etalon drift. The specific drift model is analyzed to determine whether the spectroscopic sensor is satisfactory.

A hand-held microfluidic testing device is provided that includes a housing having a cartridge receiving port, a cartridge for input to the cartridge receiving port having a sample input and a channel, where the channel includes a mixture of Raman-scattering nanoparticles and a calibration solution, where the calibration solution includes chemical compounds capable of interacting with a sample under test input to the cartridge and the Raman-scattering nanoparticles, and an optical detection system in the housing, where the optical detection system is capable of providing an illuminated electric field, where the illuminating electric field is capable of being used for Raman spectroscopy with the Raman-scattering nanoparticles and the calibration solution to analyze the sample under test input to the cartridge.

A method for fabrication of a composite component, e.g. wind turbine blade, comprises forming a composite structure within a mold, the composite structure including a resin dispersed throughout the fibers in the composite structure and applying a surface treatment, e.g. sanding, to at least one region of the composite structure. A Fourier Transform Infrared (FTIR) spectrometer is employed to irradiate the treated surface area with infrared light; and determining the amount of infrared light absorbed in the treated area of the composite structure to measure the chemical bond (distribution efficacy, chemical composition, and cure state) of the composite product. Calibration models for a variety of materials are made using a partial least squares 2-variable regression. These calibration files incorporate spectrum from samples of varying resin-hardener mix ratio, and at varying degree of cure. After library comparison confirms the material, the device automatically selects the correct calibration file, ensuring accurate results.

An example system includes a first light source, a second light source, a photodetector, and an electronic control device. The electronic control device is operable to cause the first light source to emit first light within a range of wavelengths towards a subject, and measure, using the photodetector, the first light reflected from the subject. The electronic control device is also operable to cause the second light source to emit second light including a plurality of emission peaks within the range of wavelengths, and measure, using the photodetector, the second light. The electronic control device is also operable to determine spectral information regarding the subject based on the measured first light and the measured second light.

An example system includes a housing defining a cavity and an aperture, a photodetector disposed within the cavity, a voltage-tunable interferometer disposed within the cavity between the aperture and the photodetector, a first light source disposed within the cavity, and an electronic control device. The electronic control device is operable to vary an input voltage applied to the interferometer, and concurrently, cause the first light source to emit light towards the interferometer and measure light reflected from the interferometer using the photodetector. The electronic control device is also operable to determine a calibrated input voltage based on light reflected from the interferometer and measured by the photodetector. The electronic control device is also operable to apply the calibrated input voltage to the interferometer, and concurrently, obtain one or more spectral measurements using the photodetector.