Abstract: A method for multi-target detection and an apparatus for multi-target detection are capable of detecting at least two targets in real time or near real time. The real-time detection or near real time detection can be achieved by at least one of a Recipe Group Approach, an End Member Grouping Approach, and a Pixelated Grouping Based Approach.

Abstract: A method for multi-target detection and an apparatus for multi-target detection are capable of detecting at least two targets in real time or near real time. The real-time detection or near real time detection can be achieved by at least one of a Recipe Group Approach, an End Member Grouping Approach, and a Pixelated Grouping Based Approach.

Abstract: An optical analysis system and process are disclosed. The optical analysis system includes one or more optical filter mechanisms disposed to receive light from a light source and a detector mechanism configured for operative communication with the one or more optical filter mechanisms, the operative communication permitting measurement of properties of filtered light, filtered by the one or more optical filter mechanisms followed by optical filtering by the mosaic optical filter mechanism from the light received. The one or more optical filter mechanisms are configured so that the magnitude of the properties measured by the detector mechanism is proportional to information carried by the filtered light. The process uses the optical analysis system.

Abstract: A method of using photoacoustic spectroscopy to determine chemical information about an analyte includes the steps of emitting a light ray for interaction with a sample of an analyte; transmitting the light ray through a fill fluid disposed in a detection cell, the fill fluid having molecules substantially similar to molecules of the analyte to absorb the light ray; producing a thermal wave and oscillation in the fill fluid proportional to an intensity of the light ray; including a pressure oscillation in the fill fluid by the thermal wave; and detecting the pressure oscillation by a microphone to determine information about the analyte sample.

Abstract: An optical fluorescence analysis system (100), optical device, and optical analysis process are disclosed. The optical analysis system includes one or more optical filter mechanisms (110) disposed to receive and/or modulate light from a light source (108) and a detector mechanism (112) configured for operative communication with the one or more optical filter mechanisms, the operative communication permitting measurement of properties of filtered light, filtered by the one or more optical filter mechanisms from the light received and/or modulated. The one or more optical filter mechanisms are configured so that the magnitude of the properties measured by the detector mechanism is proportional to information carried by the filtered light.

Abstract: A method of classifying information in an optical analysis system includes obtaining calibration data defining a plurality of data points, each data point representing values for two or more detectors when sampling a material used to construct a multivariate optical element. Based on the calibration data, one or more validation models can be developed to indicate one or more ranges of expected results. Validation data comprising the models can be used to compare data points representing values for two or more detectors when performing a measurement of a material to determine if the data points fall within an expected range. Classification data can be generated based on the comparison and, in some embodiments, one or more indicators, such as a confidence level in a measurement, can be provided.

Abstract: A system and method for detecting analytes using a conformal filter. A conformal filter, which may comprise a tunable filter, is configured to filter interacted photons conforming to a spectral shape correlated with an analyte of interest. Conformal filter configurations may be selected by consulting a modified look-up table associated with an analyte. An iterative methodology may be used to calibrate a conformal design for an analyte of interest, refine a previous conformal filter design for an analyte of interest, and/or generate a new conformal filter design for an analyte of interest.

Abstract: Methods of selecting spectral elements and system components for a multivariate optical analysis system include providing spectral calibration data for a sample of interest; identifying a plurality of combinations of system components; modeling performance of a pilot system with one of the combinations of system components; determining optimal characteristics of the pilot system; and selecting optimal system components from among the combinations of system components.

Abstract: An optical analysis system, optical device, and optical analysis process are disclosed. The system includes one or more optical filter mechanisms disposed to receive light from a light source and a detector mechanism in operative communication with the one or more optical filter mechanisms to measure properties of filtered light, filtered by the one or more optical filter mechanisms from the received light. The one or more optical filter mechanisms are configured so that the magnitude of the properties measured by the detector mechanism is proportional to information carried by the light filtered. The device is capable of including one of the one or more optical filter mechanisms in the system. The process is capable of relying upon the system, filtering light, and measuring properties of the filtered light.

Abstract: A method of real-time processing and monitoring comprises the steps of blending a material of interest (e.g., an active pharmaceutical material), with a secondary material, (e.g., an excipient), illuminating the blended materials with light, reflecting light carrying information about the blended materials through at least one multivariate optical element (148) and detecting said light with a first detector (152), detecting a deflected portion of the information carrying light with a second detector (156), and determining in real-time at least one selected property of the blended materials based on the detector outputs.

Abstract: A method of using photoacoustic spectroscopy to determine chemical information about an analyte includes the steps of emitting a light ray for interaction with a sample of an analyte; transmitting the light ray through a fill fluid disposed in a detection cell, the fill fluid having molecules substantially similar to molecules of the analyte to absorb the light ray; producing a thermal wave and oscillation in the fill fluid proportional to an intensity of the light ray; including a pressure oscillation in the fill fluid by the thermal wave; and detecting the pressure oscillation by a microphone to determine information about the analyte sample.

Abstract: A method of using photoacoustic spectroscopy to determine chemical information about an analyte includes the steps of emitting a light ray for interaction with a sample of an analyte; transmitting the light ray through a fill fluid disposed in a detection cell, the fill fluid having molecules substantially similar to molecules of the analyte to absorb the light ray; producing a thermal wave and oscillation in the fill fluid proportional to an intensity of the light ray; including a pressure oscillation in the fill fluid by the thermal wave; and detecting the pressure oscillation by a microphone to determine information about the analyte sample.

Abstract: A method of high-speed processing and monitoring of a product, such as a pharmaceutical powder or tablet, comprises: moving the product (C) past an inspection station; illuminating at least a portion of the product with light; spectrally filtering a first portion of light carrying information about the product, o.g., transmitted or reflected light, by passing said first portion through at least one multivariate optical element (148) and detecting said filtered light with a first detector (152), —detecting a deflected second portion of said light with a second detector (156); and determining at least one selected property of the product based on the detector outputs.

Abstract: A method of arranging and utilizing a multivariate optical computing and analysis system includes transmitting light from a light source; reflecting the light from the sample; directing a portion of the light reflected from the sample with a beamsplitter; and arranging an optical filter mechanism in a normal incidence orientation to receive the light reflected from the sample, the optical filter mechanism configured to filter and measure data carried by the light reflected from the sample.

Abstract: Methods of assessing feasibility of a project include receiving a datum from a customer; designing an application specific system based on the datum; analyzing the datum; evaluating a set of input parameters to determine an applicability of the application specific system to a customer process; and providing feedback for the customer process with the application specific system.

Abstract: A method of selecting components for a multivariate optical computing and analysis system to isolate a spectral region includes selecting a spectral region of interest; selecting a spectral element with a predetermined transmission characteristic to control a spectral range of an illumination source; illuminating a sample with the illumination source; and analyzing an optical frequency returned by the sample relative to the spectral region of interest.

Abstract: A method of developing a multivariate optical element for an optical analysis system includes forming an optically absorptive spectral element having an optically absorptive material, the optically absorptive material being absorbing in a predetermined spectral region; and utilizing the optically absorptive spectral element in the optical analysis system.

Abstract: A method of classifying information in an optical analysis system includes obtaining calibration data defining a plurality of data points, each data point representing values for two or more detectors when sampling a material used to construct a multivariate optical element. Based on the calibration data, one or more validation models can be developed to indicate one or more ranges of expected results. Validation data comprising the models can be used to compare data points representing values for two or more detectors when performing a measurement of a material to determine if the data points fall within an expected range. Classification data can be generated based on the comparison and, in some embodiments, one or more indicators, such as a confidence level in a measurement, can be provided.

Abstract: Multivariate optical analysis systems employ multivariate optical elements and utilize multivariate optical computing methods to determine information about a product carried by light reflected from or transmitted through the product.

Abstract: A method of high-speed processing and monitoring of a product, such as a pharmaceutical powder or tablet, comprises: moving the product (C) past an inspection station; illuminating at least a portion of the product with light; spectrally filtering a first portion of light carrying information about the product, o.g., transmitted or reflected light, by passing said first portion through at least one multivariate optical element (148) and detecting said filtered light with a first detector (152), —detecting a deflected second portion of said light with a second detector (156); and determining at least one selected property of the product based on the detector outputs.