Abstract:
The invention provides a method for obtaining sample specific signatures. The method comprises of irradiating the sample at a predefined location with an electromagnetic radiation of specific wavelength; selectively capturing a certain component of the scattered electromagnetic radiation to obtain a plurality of profiles; and filtering the profiles to obtain a sample specific signature. The invention provides an apparatus for obtaining sample specific signatures.
Abstract:
A method and apparatus for analyzing one or more elements of targeted moving snack food surfaces uses laser-induced breakdown spectroscopy to detect the presence, absence, or amount of an element on a heterogeneous surface, including seasoned and ready-to-eat snack foods. A laser is used to quantify the element concentration without destroying the targeted sample. An automated on-line system may be integrated into the method to create a closed-loop feedback control system, adjusting the concentration as desired.
Abstract:
An approach to noninvasively and remotely detect the presence, location, and/or quantity of a target substance in a scene via a spectral imaging system comprising a spectral filter array and image capture array. For a chosen target substance, a spectral filter array is provided that is sensitive to selected wavelengths characterizing the electromagnetic spectrum of the target substance. Elements of the image capture array are optically aligned with elements of the spectral filter array to simultaneously capture spectrally filtered images. These filtered images identify the spectrum of the target substance. Program instructions analyze the acquired images to compute information about the target substance throughout the scene. A color-coded output image may be displayed on a smartphone or computing device to indicate spatial and quantitative information about the detected target substance. The system desirably includes a library of interchangeable spectral filter arrays, each sensitive to one or more target substances.
Abstract:
The invention relates to a method for characterising a target product, including the steps of: (a) forming a bank of spectral data comprising samples; (b) having measured characteristics and spectra; (c) performing a spectral analysis of the target product and comparing the spectrum obtained with the spectral data in the data bank; (d) identifying the “near neighbour” points of the target product; and (e) performing a topological calculation of the characteristic of the target product as a function of the corresponding characteristics of the near neighbour points, based on a weighting linked to the inverse of the distance between the target product and the near neighbour points.
Abstract:
A method and system for analyzing noisy terahertz spectroscopy data transforms the measured time-dependent data into frequency space, for example, using a discrete Fourier transform, and then transforms the frequency spectrum into wavelet frequency space. The twice-transformed data is analyzed to identify spectroscopic features of the signal, for example, to identify a resonance frequency. The method may be used, for example, in a stand-off detector to identify particular chemicals in a target.
Abstract:
Properties of coal are determined from samples processed by a near-infrared spectroscopy (NIR) device that generates wavelengths dependent spectra. Target values of the properties are associated with the NIR spectra by a kernel based regression model generated from training data based on an anisotropic kernel function that is extended by defining the kernel parameters as a smooth function over the wavelengths associated with a spectrum. Like the anisotropic case each wavelength related dimension has its own kernel parameter. Adjacent dimensions are restricted to have similar kernel parameters. Measured spectra with a limited number of features are reconstructed by applying a regression model based on training data of spectra having an extended number of features. Training data are pruned based on a regression model by removing outliers.
Abstract:
Methods are provided for deriving/determining an analyte concentration that include recording measurement values during a time development indicating a progress of a detection reaction of at least one test substance and a body fluid sample and providing at least one measurement curve F(t) containing the measurement values, where the detection reaction is known to be influenced by the analyte concentration and at least one disturbance variable Y. The methods also include deriving an end value of the measurement curve to form a first variable x1, and deriving at least one fit parameter by taking into account an exponential characteristic of the measurement curve, and where the fit parameter forms at least one second variable x2. The methods further include deriving/determining the analyte concentration by using at least one multivariate evaluation algorithm adapted to combine x1 and x2. Also provided are computer programs and devices that incorporate the same.
Abstract:
Methods and systems for detecting at least one chemical species including obtaining a first image from a first electromagnetic radiation detector and obtaining a second image from a second electromagnetic radiation detector. The first image includes a first plurality of pixels and the second image includes a second plurality of pixels, each pixel having an associated intensity value. A first resultant image is generated. The first resultant image includes a plurality of resultant pixels, each pixel having an associated intensity value. One or more regions of interest are determined. The correlation between the first image, the second image, and the first resultant image is determined for the one or more regions of interest using a correlation coefficient algorithm to calculate a first correlation coefficient and a second correlation coefficient. The presence of the chemical species is determined based, at least in part, on the first correlation coefficient and the second correlation coefficient.
Abstract:
A system and method for using near-infrared or short-wave infrared (SWIR) sources such as lamps, thermal sources, LED's, laser diodes, super-luminescent laser diodes, and super-continuum light sources for early detection of dental caries measure transmission and/or reflectance. In the SWIR wavelength range, solid, intact teeth may have a low reflectance or high transmission with very few spectral features while a carious region exhibits more scattering, so the reflectance increases in amplitude. The spectral dependence of the transmitted or reflected light from the tooth may be used to detect and quantify the degree of caries. Instruments for applying SWIR light to one or more teeth may include a C-clamp design, a mouth guard design, or hand-held devices that may augment other dental tools. The measurement device may communicate with a smart phone or tablet, which may transmit a related signal to the cloud, where additional value-added services are performed.
Abstract:
An imaging device includes: an optical system having a lens and a diaphragm; an image sensor having a first pixel and a second pixel which a light that has passed through the optical system enters; and an optical element array positioned between the optical system and the image sensor, the optical system has an optical filter including a first region and a second region having different optical characteristics, the optical element array makes the light that has passed through the first region enter the first pixel and makes the light that has passed through the second region enter the second pixel, and an entrance pupil of the optical system is located between the diaphragm and an object.