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BOZEMAN, MT, United States

Kehoe M.,Resonon Inc.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2010

An automated procedure for lens manufacturing tolerance assignment is described. The procedure makes direct use of Monte Carlo sampling to obtain tolerance assignments. Tolerances are specified so as to minimize manufacturing cost, subject to a constraint on minimum acceptable lens performance. A simulation evaluates the cost-effectiveness of the program and provides quantitative evidence on the cost savings it can provide. © 2010 Copyright SPIE - The International Society for Optical Engineering. Source


Grant
Agency: National Aeronautics and Space Administration | Branch: | Program: SBIR | Phase: Phase I | Award Amount: 125.00K | Year: 2016

During this effort an instrument for calibrating the lunar irradiance will be designed. Such an instrument will lead to reliable exoatmospheric calibration for past, current, and future earth-viewing instruments and improve the accuracy of their data products, which in turn will improve climate change and weather models. The instrument will measure both the solar and lunar irradiances, which will enable cross calibration with the TSIS mission. The proposed instrument concept has been formulated to take advantage of the near-collimated nature of the input signals. The work plan is to develop detailed ray-trace and radiometric models of the instrument. The error budget for the instrument will be analyzed and pre- and post-launch calibration plans will be formulated.


Grant
Agency: Department of Health and Human Services | Branch: | Program: STTR | Phase: Phase II | Award Amount: 1.19M | Year: 2011

DESCRIPTION (provided by applicant): The long-term goal of this effort is to develop an optical module that will reduce stray light within imaging systems, thereby providing more accurate measurements from digital images and increased dynamic range of detection to enable analysis of objects not currently measurable. The present Phase II proposal is aimed at greatly enhancing the analysis of multicolor spectral imaging of fluorescent dyes in proteomics to detect changes in protein levels and protein posttranslational modifications in gel electrophoresis. Potential future applications of the optical module will improve multicolor fluorescence detection in immunohistochemistry and analysis of fluorescent proteins in cells and tissues, microplate reading and microfluidic analysis for new methods of multiplex diagnostics. The system to be developed will be usable on nearly all optical imaging systems so as to broaden the scope of applications and ultimately reduce the cost. The specific aims are to: (1) Develop and characterize a Noise Reduction Module (NoRM). This system will record an initial image, then utilize a feedback loop to turn off the bright pixels and associated stray-light to more accurately measure regions within an image; (2) Demonstrate the NoRM in proteomics applications, which will validate the technology, and enable detection of proteins and patterns of proteins in 2-D gels that are currently too weak to observe (the enhanced protein patterns are expected to have diagnostic value), and guide enhanced electroelution/microfluidic digestion/integrated mass spectral analysis ; and (3) Prepare a production prototype NoRM for a limited scale release by the end of the Phase II effort. This Phase II effort builds on a successful Phase I effort that demonstrated greater than factor of 10 improvement in dynamic range as compared to currently used image bracketing technology. The proposed effort is cross-disciplinary, with expertise required in optical and mechanical design, software development, productionengineering, biochemistry, proteomics, and systems biology. The resulting technology will be useful for proteomics, microscopy, and many other technologies that utilize digital cameras. PUBLIC HEALTH RELEVANCE: The proposed technology will reduce the stray light noise for digital imaging systems, thereby expanding capabilities for proteomics, glycomics, cell biology, diagnostics and any biomedical application that utilizes digital cameras. During this effort, patterns of weakly-expressed proteins andchanges in these proteins, whose signals are currently too weak to be identified in electrophoresis gels will be measured and identified to better understand biological mechanisms, improve development of more specific drugs, and enhance regenerative and preventative medicine.


Grant
Agency: National Science Foundation | Branch: | Program: STTR | Phase: Phase II | Award Amount: 500.00K | Year: 2007

This Small Business Technology Transfer (STTR) Phase II research project develops a macroscopic fluorescent scanner that utilizes hyperspectral imaging with enhanced capability for reading microarrays, multiwell plates, and two dimensional (2D) gels. The system utilizes novel optical design to provide more efficient light gathering and less aberration for better imaging versus conventional hyperspectral optical designs. The anticipated technical benefits include improved signal-to-noise (greater sensitivity) and the better dye multiplexing (enabling the use of multiple dyes to detect of multiple analytes simultaneously).The broader impact of this research will be to enable more rapid advancement of scientific discovery by providing enhanced tools for study of the complexity of biological signaling, metabolic and response networks using non-radioactive optical detection methods to improve safety and reduce waste problems with optical detection.


Grant
Agency: Department of Energy | Branch: | Program: STTR | Phase: Phase I | Award Amount: 100.00K | Year: 2008

Geologic carbon sequestration has the potential to store a century¿s worth of anthropogenic carbon dioxide production. However, this solution will require numerous large underground reservoirs that may extend over hundreds of square kilometers and an extensive network of pipelines, some of which will be on the order of hundreds of kilometers long. Consequently, very large areas will need to be monitored to identify any leakage that may occur in either the reservoirs or the pipelines. The purpose of this project is to develop a low-cost CO2 leak detection system suitable for large-area, high-resolution, full-coverage monitoring. Previous work has shown that plants exposed to low-level underground releases of CO2 exhibit measurable changes in reflectance. Thus, vegetation over potential leakage sites could be utilized as a massive sensor array if one could 1 effectively monitor underground CO2-induced changes in plant reflectance, and 2 differentiate CO2 plant response from other factors such as drought and soil type that also affect plant reflectance. This project will develop such a sensor based on a spectral imaging system. Measurements taken during planned controlled CO2 release experiments from an underground pipeline will be used to determine the important spatial resolution requirement of the sensor. Additional work will be devoted to identifying techniques to differentiate CO2 induced plant response from other factors. Results from these studies will be used to design an optimal sensor system. Commercial Applications and other Benefits as described by the awardee: In addition to the monitoring of CO2 reservoirs and pipelines, the technology should be useful for monitoring other types of pipeline gases, such as methane. Additionally, the technology may be useful for agricultural applications

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