3412 results about "Spectral data" patented technology

A technique for use in fabricating an integrated circuit are disclosed. The method generally begins by performing an operation on a wafer using a fabrication tool. Next, volatiles are desorbed from the wafer. The desorbed volatiles are sampled and raw spectral data indicating the content of the desorbed volatiles is generated. The raw spectral data is subjected to a spectroscopic analysis. An operational parameter of the fabrication tool is then modified responsive to the result of the results of the spectroscopic analysis. In one particular aspect of the invention, a controller receives the raw spectral data and processes the raw spectral data to determine the presence of a residual material on the wafer. The controller then controls the process flow operation to reduce the amount of the residual material on the wafer responsive to the results of processing the raw spectral data. Other aspects of the invention include the apparatus implementing the process flow and the controller itself.

A method of in situ analysis of a biological sample comprising the steps of (a) staining the biological sample with N stains of which a first stain is selected from the group consisting of a first immunohistochemical stain, a first histological stain and a first DNA ploidy stain, and a second stain is selected from the group consisting of a second immunohistochemical stain, a second histological stain and a second DNA ploidy stain, with provisions that N is an integer greater than three and further that (i) if the first stain is the first immunohistochemical stain then the second stain is either the second histological stain or the second DNA ploidy stain; (ii) if the first stain is the first histological stain then the second stain is either the second immunohistochemical stain or the second DNA ploidy stain; whereas (iii) if the first stain is the first DNA ploidy stain then the second stain is either the second immunohistochemical stain or the second histological stain; and (b) using a spectral data collection device for collecting spectral data from the biological sample, the spectral data collection device and the N stains are selected such that a spectral component associated with each of the N stains is collectable.

Methods, systems and computer program products for generating parameters for software dispersion compensation in optical coherence tomography (OCT) systems are provided. Raw spectral interferogram data is acquired for a given lateral position on a sample and a given reference reflection. A trial spectral phase corresponding to each wavenumber sample of the acquired spectral interferogram data is postulated. The acquired raw spectral data and the postulated trial spectral phase data are assembled into trial complex spectrum data. Trial A-scan data is computed by performing an inverse Fourier transform on the trial complex spectrum data and determining the magnitude of a result.

The invention provides a device and process for real-time screening of areas that can be identified as suspicious either through image segmentation utilizing image processing techniques or through treatment with an exogenous fluorescent marker that selectively localizes in abnormal areas. If screening detects a suspicious area, then the invention allows acquiring of autofluorescence images at multiple selected narrow differentiating spectral bands so that a "virtual biopsy" can be obtained to differentiate abnormal areas from normal areas based on differentiating portions of autofluorescence spectra. Full spatial information is collected, but autofluorescence data is collected only at the selected narrow spectral bands, avoiding the collection of full spectral data, so that the speed of analysis is increased.

An apparatus and method are provided to verify the composition of a medical fluid in a fluid infusion channel by comparison with clinician-entered input. Light is transmitted through the channel and detected by a sensor that generates signals representative of the spectral data of the light detected. A processor compares the spectral data of the light detected to the spectral data associated with the expected contents of the channel to verify that the correct fluid is being infused.

A sensor (200, 900) comprising an illuminator (212, 500, 804, 832, 858, 904), a receiver (216, 400, 420, 460, 480, 808, 836, 862, 924) and an analyzer (240) for detecting and identifying an analyte having a characteristic absorption band that is present in a sample region (208, 812, 824, 874, 922). The illuminator includes an illumination source (220) for illuminating the sample region with spectral energy across at least a portion of the characteristic absorption band. The receiver includes a detector (228, 404, 424, 460, 484, 866, 928) for sensing predetermined portions of the spectral energy band and for creating a sample spectral data vector (236). The analyzer uses the spectral data vector and known characteristic data to detect and identify the analyte.

A multispectral X-ray imaging system uses a wideband source and filtration assembly to select for M sets of spectral data. Spectral characteristics may be dynamically adjusted in synchrony with scan excursions where an X-ray source, detector array, or body may be moved relative to one another in acquiring T sets of measurement data. The system may be used in projection imaging and/or CT imaging. Processed image data, such as a CT reconstructed image, may be decomposed onto basis functions for analytical processing of multispectral image data to facilitate computer assisted diagnostics. The system may perform this diagnostic function in medical applications and/or security applications.

A system for non-invasively monitoring at least one hemodynamic vascular parameter of an individual is disclosed. The system comprises (a) at least two infrared detectors being positionable in a spaced apart configuration against a region of a skin of the individual above at least one blood vessel, each of said at least two infrared detectors being for individually collecting infrared spectral data from said region of the skin, said infrared spectral data corresponding to a volume of blood present within said at least one blood vessel; and (b) a processing unit being in communication with said at least two infrared detectors, said processing unit being for independently processing said infrared spectral data collected by each of said at least two infrared detectors so as to yield information pertaining to the at least one hemodynamic vascular parameter of the individual.

This invention pertains to chemometric methods for the analysis of chemical, biochemical, and biological data, for example, spectral data, for example, nuclear magnetic resonance (NMR) spectra, and their applications, including, e.g., classification, diagnosis, prognosis.

The present invention provides an apparatus and a method for identifying the risk of a clinical condition in a human or animal by correlating Near Infrared (NIR) absorbance spectral data with one or several parameters including a concentration of one or more substances in the skin, a concentration of one or more substances in skin plus subdermal tissue, a score derived from one or more clinical tests like a stress test on a treadmill, coronary angiography, or intravascular coronary ultrasound. The method determines the concentration of a compound in the skin of a human or animal and comprises the steps of placing a part of the skin against a receptor, directing electromagnetic radiation (EMR) from the near-infrared spectrum onto the skin, measuring a quantity of EMR reflected by, or transmitted through, the skin with a detector; and performing a quantitative mathematical analysis of the quantity of EMR to determine the concentration of the compound, for example free and esterfied cholesterol. An example of a clinical condition is cardiovascular disease.

Support vector machines are used to classify data contained within a structured dataset such as a plurality of signals generated by a spectral analyzer. The signals are preprocessed to ensure alignment of peaks across the spectra. Similarity measures are constructed to provide a basis for comparison of pairs of samples of the signal. A support vector machine is trained to discriminate between different classes of the samples. to identify the most predictive features within the spectra. In a preferred embodiment feature selection is performed to reduce the number of features that must be considered.

An etching process state judgment method comprising: a spectral data obtaining step, in which an optical emission spectrum distribution is obtained by monitoring optical emission during an etching process of a plurality of wafers; a peak detection step, in which peaks are detected from the optical emission spectrum distribution at a specific time point during the etching process, to obtain peak characteristics; a common peak identifying step, in which peaks common to the wafers are identified among the peaks detected in the peak detection step; and a state detection step, in which the characteristics are compared regarding the common peaks, to detect a state of each wafer in the etching process.

A state (anomaly or normalcy) of an etching process is detected from optical emission spectrum distribution at the time of etching process, by a simple method without assuming substances.

The present invention is directed generally toward the field of spectral analysis and, more particularly, toward an improved method of identifying unknown components of a mixture from a set of spectra collected from the mixture using a spectral library including potential candidates. For example, the present method is directed to identifying components of a mixture by the steps which comprise obtaining a set of spectral data for the mixture that defines a mixture data space; ranking a plurality of library spectra of known elements according to their angle of projection into the mixture data space; calculating a corrected correlation coefficient for each combination of the top y ranked library spectra; and selecting the combination having the highest corrected correlation coefficient, wherein the known elements of the selected combination are identified as the components of the mixture.

The system and method for spectral analysis uses a set of spectral data. The spectral data is arranged according to a second dimension, such as time, temperature, position, or other condition. The arranged spectral data is used in a signal separation process, such as an independent component analysis (ICA), which generates independent signals. The independent signals are then used for identifying or quantifying a target component.

Provided is a laser ablation spectroscopy apparatus and method. A pulse laser is focused on the sample site to generate a plasma plume during a laser ablation process. The plasma plume is detected with a spectrometer and an intensified charge coupled device. A sample of material is coupled to a stage movable in the x, y and z directions using an array of x-y-z motors. A change in the height of the sample is detected using a triangulation sensor. The apparatus includes a system computer for synchronizing the movement of the stage in the x, y and z direction during the laser ablation process. The method includes a protocol of generating one or more laser ablations per sample site. The spectral data of the total number of laser ablations for each sample site are averaged together. The protocol includes laser ablating additional sample sites and averaging the spectral data of the total number of sample sites.

Described is a method which uses spectral data simultaneously collected in a continuous array of discrete wavelength points of the visible spectrum adjacent to the infrared and near infrared part of the light spectrum. The spectral data is collected using a number of detectors with different sensitivity ranges. Some detectors may be sensitive to visible and possibly, to part of the near infrared portion of radiation. Spectral data from die infrared spectrum is collected with the infrared detectors, and are in some embodiments insensitive to the visible links.

An encoding device (100) includes (i) a first encoding unit (132) that encodes spectral data in the lower frequency band represented by a plularity of parameters, out of the spectral data obtained by transforming an audio signal inputted for a fixed time length, (ii) a second quantizing unit (133) that generates sub information representing characteristics of the spectral data in the higher frequency by fewer parameters than those for the lower frequency band, out of the spectral data obtained by the transformation, (iii) a second encoding unit (134) that encodes the generated sub information, and (iv) a stream output unit (140) that outputs the data encoded by the first encoding unit (132) and the data encoded by the second encoding unit (134).

This invention pertains to chemometric methods for the analysis of chemical, biochemical, and biological data, for example, spectral data, for example, nuclear magnetic resonance (NMR) spectra, and their applications, including, e.g., classification, diagnosis, prognosis, etc., especially in the context of bone disorders, e.g., conditions associated with low bone mineral density, e.g., osteoporosis.

A monitoring network system for inspecting and controlling harmful substances includes probe assemblies that each includes a sensor comprising nano structured surfaces or nano particles in a solution, configured to adsorb molecules of a sample material captured adjacent to the sensor, a laser that can emit a laser beam to illuminate the molecules adsorbed to the nano structured surfaces, a spectrometer that can produce spectral data from light scattered by the molecules adsorbed to the nano structured surfaces, and a ID reader that can retrieve identification information about the sample material. A central office can determine a spectral signature matching spectral signatures stored in a database and to identify a harmful substance in the sample material. An alert and response system can send out an alert signal about the sample material when the harmful substance is identified in the sample material.