Abstract:
A method for classifying textile samples and unknown fabrics into known categories using spectroscopy, chemometric modeling, and soft independent modeling of class analogies (“SIMCA”). The method involves collecting spectral data, preferably diffuse near infrared reflectance data, for a library of known fabric samples, creating a database of principal component analyses for each type of fabric, and using SIMCA to classify an unknown fabric sample according to the database.
Abstract:
A system and method of determining an attribute of a biological tissue sample or a drug delivery device. A sample is illuminated with substantially monochromatic light to thereby generate Raman scattered photons. The Raman scattered photons are assessed to thereby generate a spectroscopic data set wherein said spectroscopic data set comprises at least one of: a Raman spectra and a spatially accurate wavelength resolved image. Tile spectroscopic data set is evaluated to determine at least one of: an attribute of a biological tissue sample and a drug delivery device. In one embodiment, the biological tissue comprises arterial tissue. In another embodiment, the drug delivery device is a drug-eluting stent. In another embodiment, Raman chemical imaging can be used to evaluate a sample and identify at least one of: the tissue, a drug, a drug delivery device, and a matrix associated with a drug delivery device.
Abstract:
A first step of measuring a change over time in the spectral transmission spectrum of a measurement sample by its exposure to the light of a light source including an ultraviolet radiation for a preset light exposure time, a second step of performing a correction according to the change over time in the spectral transmission spectrum of the measurement sample based on the result of the measurement obtained by the first step, and a third step of calculating the final in vitro predicted SPF of the measurement sample using the result of the correction obtained by the second step are included.
Abstract:
An apparatus and method for noninvasive determination of analyte properties of human tissue by quantitative infrared spectroscopy to clinically relevant levels of precision and accuracy. The system includes subsystems optimized to contend with the complexities of the tissue spectrum, high signal-to-noise ratio and photometric accuracy requirements, tissue sampling errors, calibration maintenance problems, and calibration transfer problems. The subsystems can include an illumination/modulation subsystem, a tissue sampling subsystem, a data acquisition subsystem, a computing subsystem, and a calibration subsystem. The invention can provide analyte property determination and identity determination or verification from the same spectroscopic information, making unauthorized use or misleading results less likely than in systems that use separate analyte and identity determinations. The invention can be used to control and monitor individuals accessing controlled environments.
Abstract:
A method of non-destructively determining the physical property of a material surface, the method including irradiating a surface with infrared energy over a spectrum of wavelengths; detecting said infrared energy reflected from said surface over said spectrum of wavelengths; performing multivariate calibration of said reflected infrared energy at a plurality of selected wavelengths including said spectrum of wavelengths; using results of said multivariate calibration to predict one or more physical properties of said model material; and, determining said one or more physical properties of said surface. Details are included for the case where uni-directional fiber CFRP materials are to be calibrated and predicted because special care must be taken for that material to insure the incident light from the spectrometer is at the proper orientation for calibration and for prediction of samples in question.
Abstract:
A method of non-destructively determining the amount of ultraviolet degradation of a surface and/or paint adhesion characteristics of the surface corresponding with UV damage including determining a physical property of a composite material/surfacing film by providing a series of composite materials/surfacing films which are subjected to increasing UV light experience to create a set of UV damage standards, collecting mid-IR spectra on those standards, performing data pre-processing and then multivariate calibration on the spectra of the composite materials/surfacing films, and using that calibration to predict the UV damage for samples in question.
Abstract:
The present invention generally provides systems and methods for detection of agents of interest in a bulk quantity of matter, which also contains clutter and other constituents that typically interfere with the detection of one or more agents of interest. A detection system of the invention generally contains a collection subsystem for obtaining a bulk sample, an interrogation subsystem for generating one or more analytical signals representative of the composition of the bulk sample, and an analytical subsystem according to the teachings of the invention that implements the methods and algorithms of the invention for analyzing the sample analytical signals to determine whether one or more agents of interest are present, e.g., at quantities above a certain threshold, in the bulk sample.
Abstract:
A method for generating a net analyte signal calibration model for use in detecting and/or quantifying the amount of an analyte in a test subject. The net analyte signal can be generated by providing a set of in vivo infrared spectra for a test subject during a period in which an analyte concentration is essentially constant; calculating an optimal subspace of spectra that at least substantially describes all non-analyte dependent spectral variance in the in vivo spectra; providing a pure component infrared spectrum for the analyte; and calculating a net analyte signal spectrum from a data set comprising the optimal subspace spectra and the pure analyte spectrum. The net analyte signal calibration model can be used, for example, in measuring the concentration of analyte in a test subject, and/or for evaluating the analytical significance of an in vivo multivariate calibration model.
Abstract:
An encoder spectrograph is used to analyze radiation from one or more samples in various configurations. The radiation is analyzed by spatially modulating the radiation after it has been dispersed by wavelength or imaged along a line. Dual encoder spectrographs may be used to encode radiation using a single modulator. An encoded photometric infrared spectroscopy (“EPIR”) analyzer employs orthogonal encoded components having substantially identical modulation frequencies, which may allow for the multiplexing of up to twice as many encoded components.
Abstract:
A lance assembly for spectroscopically sampling bulk product (8) is disclosed. The assembly comprises: an elongate lance body (11) having a longitudinal axis (15), a proximal end (12) for maneuvering and a head (19) defining a cavity (18). Housed within the cavity (18) is a spectroscopic receiver (20) having a field of view and a radiant energy source (40) providing a beam of energy to be reflected from the bulk product (8) to the receiver 20 through a window (30). The window (30) has an external surface (31) which, in use, is in contact with the bulk product (8). The beam of energy and the field of view of the receiver (20) are both directed towards the external surface (31) so as to allow sampling adjacent the external surface (31).