Abstract:
The present invention refers to a device (1) and a method of measuring a parameter of blood, preferably correlated to the presence or concentration of oxygen in blood. The invention provides to: excite a photosensitive element (18′) in contact with blood by excitation pulses, detect light responses of the photosensitive element corresponding to the excitation pulses, and analyze the plurality of luminescence decay curves at least two time windows (t1-tN). Moreover, the invention provides to: detect one or more light answer analog information regarding the luminescence curve decay at each time window, convert the analog information into digital data, process the digital data and the actual temperature value of blood by taking into account a plurality of data of previous measures of the parameter of blood performed during a previous training, and determine, as a result of the processing step, at least one value of said parameter of blood.
Abstract:
A system includes an optical computing device having an optical multiplexer that receives a sample light generated by an optical interaction between a sample and an illumination light is provided. The system includes sensing elements that optically interact with the sample light to generate modified lights, and a detector that measures a property of the modified lights separately. Linear and nonlinear models for processing data collected with the above system to form high-resolution spectra are also provided. Methods for designing optimal optical multiplexers for optimal reconstruction of high-resolution spectra are also provided.
Abstract:
A data processing apparatus that processes a spectral data item which stores, for each of a plurality of spectral components, an intensity value, includes a spectral component selecting unit and a classifier generating unit. The spectral component selecting unit is configured to select, based on a Mahalanobis distance between groups each composed of a plurality of spectral data items or a spectral shape difference between groups each composed of a plurality of spectral data items, a plurality of machine-learning spectral components from among the plurality of spectral components of the plurality of spectral data items. The classifier generating unit is configured to perform machine learning by using the plurality of machine-learning spectral components selected by the spectral component selecting unit and generate a classifier that classifies a spectral data item.
Abstract:
A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.
Abstract:
Apparatus for performing Raman spectroscopy may include a first laser source having a first emission wavelength and a second laser source having a second emission wavelength. A separation between the first and second emission wavelengths may correspond to a width of a Raman band of a substance of interest. A switch may provide switching between the first and second laser sources. An ensemble of laser emitters may be provided. A Bragg grating element may receive laser light from the ensemble. An optical system may direct light from the Bragg grating element into an optical fiber. A combined beam through the optical fiber may contain light from each of the emitters.
Abstract:
Apparatus for performing Raman spectroscopy may include a first laser source having a first emission wavelength and a second laser source having a second emission wavelength. A separation between the first and second emission wavelengths may correspond to a width of a Raman band of a substance of interest. A switch may provide switching between the first and second laser sources. An ensemble of individually addressable laser emitters may be provided. A Bragg grating element may receive laser light from the ensemble. An optical system may direct light from the Bragg grating element into an optical fiber. A combined beam through the optical fiber may contain light from each of the emitters.
Abstract:
A method for analyzing biological specimens by spectral imaging to provide a medical diagnosis includes obtaining spectral and visual images of biological specimens and registering the images to detect cell abnormalities, pre-cancerous cells, and cancerous cells. This method eliminates the bias and unreliability of diagnoses that is inherent in standard histopathological and other spectral methods. In addition, a method for correcting confounding spectral contributions that are frequently observed in microscopically acquired infrared spectra of cells and tissue includes performing a phase correction on the spectral data. This phase correction method may be used to correct various types of absorption spectra that are contaminated by reflective components.
Abstract:
A hyperspectral method for detecting the present condition of an avian egg is disclosed in which a neural network algorithm is used to compare the spectrum of a test egg against a spectral library. The method can detect fertility with greater than 90% reliability on the day of laying and the gender of the chick with greater than 75% reliability on the 12th day after laying.
Abstract:
A system and method for determining at least one of: a disease state, a metabolic state, a clinical outcome, and a disease progression of a test renal or prostate sample. A test Raman data set is obtained from the sample wherein said test Raman data set may comprise at least one of a plurality of Raman spectra and a plurality of spatially accurate wavelength resolved Raman images. The test Raman data set is compared to a plurality of reference Raman data sets using a chemometric technique. For analysis of renal samples, each of these reference Raman data sets may have an associated known renal sample and an associated known metabolic state, clinical outcome, and/or disease progression. For analysis of prostate samples, each of these reference Raman data sets may have an associated known prostate sample and an associated known disease state, metabolic state, clinical outcome, and/or disease progression.
Abstract:
A system and method for determining at least one of: a disease state, a metabolic state, a clinical outcome, and a disease progression of a test renal or prostate sample. A test Raman data set is obtained from the sample wherein said test Raman data set may comprise at least one of a plurality of Raman spectra and a plurality of spatially accurate wavelength resolved Raman images. The test Raman data set is compared to a plurality of reference Raman data sets using a chemometric technique. For analysis of renal samples, each of these reference Raman data sets may have an associated known renal sample and an associated known metabolic state, clinical outcome, and/or disease progression. For analysis of prostate samples, each of these reference Raman data sets may have an associated known prostate sample and an associated known disease state, metabolic state, clinical outcome, and/or disease progression.