Abstract:
The disclosure features methods that include obtaining multispectral image information for a sample that includes a fluorescent dye, calculating from an image cube of the information a first spectrum and a second spectrum, and calculating a pure spectrum of the fluorescent dye in the sample based on the first and second spectra, where a relative contribution of light emission from the fluorescent dye to the second spectrum is larger than a relative contribution of light emission from the fluorescent dye to the first spectrum, where calculating the first and second spectra includes identifying corresponding first and second sets of pixel intensity values in the image cube, and where identifying the first set of pixel intensity values includes designating one or more layers of the image cube as a first layer set.
Abstract:
A method for determining spectral calibration data (λcal(Sd), Sd,cal(λ)) of a Fabry-Perot interferometer (100) comprises: - forming a plurality of filtered spectral peaks (P'1, P'2) by filtering input light (LB1) with a Fabry-Perot etalon (50) such that a first filtered peak (Ρ'1) corresponds to a first transmittance peak (P1) of the etalon (50), and such that a second filtered peak (P'2) corresponds to a second transmittance peak (P2) of the etalon (50), - using the Fabry-Perot interferometer (100) for measuring a spectral intensity distribution (M(Sd)) of the filtered spectral peaks (Ρ'1, P'2), wherein the spectral intensity distribution (M(Sd)) is measured by varying the mirror gap (dFP) of the Fabry-Perot interferometer (100), and by providing a control signal (Sd) indicative of the mirror gap (dFP), and - determining the spectral calibration data (λcal(Sd), Sd,cal(λ)) by matching the measured spectral intensity distribution (M(Sd)) with the spectral transmittance (ΤΕ(λ)) of the etalon (50).
Abstract:
Monochromatic cameras and methods for using such cameras to obtain a still or video color image of an object or scene. The image sensor of such cameras is clear, without a color filter array. A diffused-dispersed and optionally randomized image of the object or scene obtained at the image sensor is processed directly into a number R
Abstract:
Embodiments of the present invention provide a Raman spectroscopic inspection method, comprising the steps of: measuring a Raman spectrum of an object to be inspected successively to collect a plurality of Raman spectroscopic signals; superposing the plurality of Raman spectroscopic signals to form a superposition signal; filtering out a florescence interfering signal from the superposition signal; and identifying the object to be inspected on basis of the superposition signal from which the florescence interfering signal has been filtered out. By means of the above method, a desired Raman spectroscopic signal may be acquired by removing the interference caused by a florescence signal from a Raman spectroscopic inspection signal of the object. It may inspect correctly the characteristics of the Raman spectrum of the object so as to identify the object effectively.
Abstract:
A single Integrated Computational Element ("ICE") predictive of multiple sample characteristics. In recent years, optical computing, techniques have been developed for applications in the oil and gas industry in the form of optical sensors on downhole or surface equipment to evaluate a variety of fluid properties. In general, optical computing devices, also commonly referred to as "opticoanalytical devices," can be used to analyze and monitor a sample substance in real time.
Abstract:
The invention relates to a method for assessing the damage to a polyurethane-type paint-covered composite material. Said method uses infrared spectrometry on said paint and is characterized in that two separate criteria, characterizing the heat aging of the paint, are measured on the obtained spectrogram. Each criterion includes measuring a height of a particular peak (6) on the curve of the spectrum, thus giving two separate assessments of said aging. Then both these criteria are combined with each other to obtain a result indicating the damage level.
Abstract:
A classification device (2) for identification of articles (3) in an automated checkout counter is provided. The device comprises a memory unit (5) capable of storing digital reference signatures, each of which digital reference signatures corresponds to an article identity, and a processor (6) connected to the memory unit (5), wherein the classification device (2) further comprises a spectroscopy sensor (7, 24) connected to the processor (6), wherein the spectroscopy sensor (7, 24) is arranged to determine a measured signature of an article (3) when the article (3) is placed before, on or after a weight sensor (4), and wherein the processor (6) is arranged to compare the measured signature with the digital reference signature in order to identify the article (3) as an existing article identity in the memory unit (5).