CIRTEMO, SCD and Pixelteq have co-developed a miniature short-wave infrared (SWIR) hyperspectral snapshot
imager utilizing Multivariate Optical Elements (MOEs). The resultant product may address many of the detection
challenges facing multiple markets including commercial, medical, security and defense. This paper highlights the
design process of developing MOEs for a targeted application, as well as the technological challenges faced and
solutions developed for successful integration of a micro-patterned mosaic array to an InGaAs focal plane array.
Hyperspectral imaging (HSI) systems can provide sensitive and specific detection and identification of high value targets in the presence of complex backgrounds. However, current generation sensors are typically large and costly to field, and do not usually operate in real-time. Sensors that are capable of real-time operation have to compromise on the number of spectral bands, image definition, and/or the number of targets being detected. Additionally, these systems command a high cost and are typically designed and configured for specific mission profiles, making them unable to adapt to multiple threats within often rapidly evolving and dynamic missions. Despite these shortcomings, HSI-based sensors have proven to be valuable tools, thus resulting in increased demand for HSI technology. A cost-effective sensor system that can easily and quickly adapt to accomplish significantly different tasks in a changing environment is highly desirable. The capability to detect and identify user-defined targets in complex backgrounds under a range of varying conditions with an easily reconfigured, automated, real-time, portable HSI sensor is a critical need. ChemImage Sensor Systems (CISSTM) is developing a novel real-time, adaptable, compressive sensing short-wave infrared (SWIR) hyperspectral imaging technology called the Reconfigurable Conformal Imaging Sensor (RCIS). RCIS will address many shortcomings of current generation systems and offer improvements in operational agility and detection performance, while addressing sensor weight, form factor and cost needs. This paper discusses the development of the RCIS system, and considers its application in various use scenarios.
Infrared hyperspectral imagers (HSI) have been fielded for the detection of hazardous chemical and biological compounds, tag detection (friend versus foe detection) and other defense critical sensing missions over the last two decades. Low Size/Weight/Power/Cost (SWaPc) methods of identification of chemical compounds spectroscopy has been a long term goal for hand held applications. We describe a new HSI concept for low cost / high performance InGaAs SWIR camera chemical identification for military, security, industrial and commercial end user applications. Multivariate Optical Elements (MOEs) are thin-film devices that encode a broadband, spectroscopic pattern allowing a simple broadband detector to generate a highly sensitive and specific detection for a target analyte. MOEs can be matched 1:1 to a discrete analyte or class prediction. Additionally, MOE filter sets are capable of sensing an orthogonal projection of the original sparse spectroscopic space enabling a small set of MOEs to discriminate a multitude of target analytes. This paper identifies algorithms and broadband optical filter designs that have been demonstrated to identify chemical compounds using high performance InGaAs VGA detectors. It shows how some of the initial models have been reduced to simple spectral designs and tested to produce positive identification of such chemicals. We also are developing pixilated MOE compressed detection sensors for the detection of a multitude of chemical targets in challenging backgrounds/environments for both commercial and defense/security applications. This MOE based, real-time HSI sensor will exhibit superior sensitivity and specificity as compared to currently fielded HSI systems.
Multivariate Optical Elements (MOEs) are thin-film devices that encode a broad band, spectroscopic pattern allowing a simple broadband detector to generate a highly sensitive and specific detection for a target analyte. MOE filter sets are capable of sensing projections of the original sparse spectroscopic space enabling a small set of MOEs to discriminate a multitude of target analytes. This presentation will summarize the design and fabrication of compressed detection MOE filter sets for detecting multiple fluorochromes simultaneously with strong spectroscopic interference as well as comparing the detection performance of the MOE sensor with traditional optical band pass filter methodologies.
The success of a commercial fluorescent diagnostic assay is dependent on the selection of a fluorescent biomarker; due
to the broad nature of fluorescence biomarker emission profiles, only a small number of fluorescence biomarkers may be
discriminated from each other as a function of excitation source. Multivariate Optical Elements (MOEs) are thin-film
devices that encode a broad band, spectroscopic pattern allowing a simple broadband detector to generate a highly
sensitive and specific detection for a target analyte. MOEs have historically been matched 1:1 to a discrete analyte or
class prediction; however, MOE filter sets are capable of sensing projections of the original sparse spectroscopic space
enabling a small set of MOEs to discriminate a multitude of target analytes. This optical regression can offer real-time
measurements with relatively high signal-to-noise ratios that realize the advantages of multiplexed detection and pattern
recognition in a simple optical instrument. The specificity advantage of MOE-based sensors allows fluorescent
biomarkers that were once incapable of discrimination from one another via optical band pass filters to be employed in a
common assay panel. A simplified MOE-based sensor may ultimately reduce the requirement for highly trained
operators as well as move certain life science applications like disease prognostication from the laboratory to the point of
care. This presentation will summarize the design and fabrication of compressed detection MOE filter sets for detecting
multiple fluorescent biomarkers simultaneously with strong spectroscopic interference as well as comparing the
detection performance of the MOE sensor with traditional optical band pass filter methodologies.
The need for routine, non-destructive chemical screening of agricultural products is increasing due to the health hazards
to animals and humans associated with intentional and unintentional contamination of foods. Melamine, an industrial
additive used to increase flame retardation in the resin industry, has recently been used to increase the apparent protein
content of animal feed, of infant formula, as well as powdered and liquid milk in the dairy industry. Such contaminants,
even at regulated levels, pose serious health risks. Chemical imaging technology provides the ability to evaluate large
volumes of agricultural products before reaching the consumer. In this presentation, recent advances in chemical
imaging technology that exploit Raman, fluorescence and near-infrared (NIR) are presented for the detection of
contaminants in agricultural products.
Rapid quantitative imaging of chemical species is an important tool for investigating heterogenous mixtures, such as laminated plastics, biological samples and vapor plumes. Using traditional spectroscopic methods requires difficult computations on very large data sets. By embedding a spectral pattern that corresponds to a target analyte in an interference filter in a beamsplitter arrangement; the chemical information in an image can be obtained rapidly and with a minimal amount of computation. A candidate filter design that is tolerant to the angles present in an imaging arrangement is evaluated in near-infrared spectral region for an organic analyte and an interferent.
Quantitative multivariate spectroscopic methods seek spectral patterns that correspond to analyte concentrations even in the presence of interferents.By embedding a spectral pattern that corresponds to a target analyte in an interference filter in a beamsplitter arrangement;bulky and complex instrumentation can be eliminated with the goal of producing a field-portable instrument.A candidate filter design for an rganic analyte,of military interest,and an interferent is evaluated.
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