Abstract: Techniques and systems are disclosed for electronic target recognition. In particular, techniques and systems are disclosed for performing electronic surveillance and target recognition using a multiple parallax exploitation (MPEX) electronic eye platform. Among other things, a MPEX system can include an imaging unit that includes multiple image capture devices spaced from one another to form an array to provide overlapping fields-of-view and to capture multiple overlapping stereo images of a scene. The MPEX system can also include a processing unit connected to the imaging unit to receive and process data representing the captured multiple overlapping stereo images from the imaging unit to characterize one or more objects of interest in the scene.

Abstract: Systems and techniques for analyzing information gathered by multiple analytical techniques. In one aspect, a method includes receiving analytical information, gathered by multiple analytical techniques, regarding a sample, receiving expectations regarding a sample parameter, and estimating a value of the sample parameter based on the analytical information and the expectations regarding the sample parameter.

Abstract: A technique is described for quantitating biological indicators, such as viral load, using interferometric interactions such as quantum resonance interferometry. A diffusion curve for the biological indicator of interest is generated from at least two measurements from a patient sample. In some embodiments, the patient samples are in the form of a microarray output pattern to which the patient sample has been applied. After the diffusion curve has been generated, subsequent patient samples are mapped to the diffusion curve to provide a quantitative measure of the biological indicator of interest.

Abstract: The current invention discloses a novel spectral transformation technique for characterizing digitized intensity output patterns from microarrays. This method yields improved sensitivity with reduced false positives and false negatives. Current microarray methods are overly sensitive to the detection of a visible distinction between pixels associated with probes and pixels associated with background. In one embodiment, a technique is disclosed that comprises the steps of: extracting pixels associated with an object of interest and transforming such pixels from an intensity representation to a spectral representation. In some embodiments, the extraction is based on a tessellated logarithmic spiral extraction that may yield a pixel core with a sampling of both foreground and background pixels. This core may then be computationally rescaled by 10×-10,000× to enhance spatial resolution.

Abstract: A technique for determining events of interest within an output pattern generated from a detected image of an array of detectors where the output pattern comprises signals associated with noise, and signals associated with the events of interest which have intensities both greater and less than intensities of signals associated with noise. Quantum resonance interferometry is utilized to amplify signals associated with the events of interest having an intensity lower than the intensity of signals associated with noise, to an intensity greater than the intensity of the signals associated with noise to generate a modified output pattern. Once the desired signals are amplified, the technique determines which signals within the modified output pattern correlate with events of interest thus permitting a determination to be made whether a certain event of interest has occurred.

Abstract: A technique is disclosed that is useful for determining the presence of specific hybridization expression within an output pattern generated from a digitized image of a biological sample applied to an arrayed platform. The output pattern includes signals associated with noise, and signals associated with the biological sample, some of which are degraded or obscured by noise. The output pattern is first segmented using tessellation. Signal processing, such as interferometry, or more specifically, resonance interferometry, and even more specifically quantum resonance interferometry or stochastic resonance interferometry, is then used to amplify signals associated with the biological sample within the segmented output pattern having an intensity lower than the intensity of signals associated with noise so that they may be clearly distinguished from background noise. The improved detection technique allows repeatable, rapid, reliable, and inexpensive measurements of arrayed platform output patterns.

Abstract: An automated internet based exchange system is described for controlling the exchanging of ownership interests in objects on a secondary market. The automated exchange includes one or more sub-exchanges for maintaining information representative of secondary market transactions and for controlling said transactions. The automated exchange includes a secondary portfolio auction sub-exchange, a pricing and valuation services sub-exchange, an electronic contract negotiation services sub-exchange and a delivery and auditing service sub-exchange. The automated exchange also includes a logic switch manager that creates opportunistic auctions from a transaction for a product or service so as to trigger further auctions or service sales on the same or different secondary markets.

Abstract: A technique is disclosed that is useful for determining the presence of specific hybridization expression within an output pattern generated from a digitized image of a biological sample applied to an arrayed platform. The output pattern includes signals associated with noise, and signals associated with the biological sample, some of which are degraded or obscured by noise. The output pattern is first segmented using tessellation. Signal processing, such as interferometry, or more specifically, resonance interferometry, and even more specifically quantum resonance interferometry or stochastic resonance interferometry, is then used to amplify signals associated with the biological sample within the segmented output pattern having an intensity lower than the intensity of signals associated with noise so that they may be clearly distinguished from background noise. The improved detection technique allows repeatable, rapid, reliable, and inexpensive measurements of arrayed platform output patterns.

Abstract: An automated internet based exchange system is described for controlling the exchanging of ownership interests in objects on a secondary market. The automated exchange includes one or more sub-exchanges for maintaining information representative of secondary market transactions and for controlling said transactions. The automated exchange includes a secondary portfolio auction sub-exchange, a pricing and valuation services sub-exchange, an electronic contract negotiation services sub-exchange and a delivery and auditing service sub-exchange. The automated exchange also includes a logic switch manager that creates opportunistic auctions from a transaction for a product or service so as to trigger further auctions or service sales on the same or different secondary markets.

Abstract: A technique is described for quantitating biological indicators, such as viral load, using interferometric interactions such as quantum resonance interferometry. A biological sample is applied to an array information structure that has a plurality of elements that emit data indicative of viral load. A digitized output pattern of the arrayed information structure is interferometrically enhanced by generating interference between the output pattern and a reference wave. The interferometrically enhanced output pattern is then analyzed to identify emitted data indicative of viral load which in turn is used to determine viral load.

Abstract: A technique is disclosed that is useful for determining the presence of specific hybridization expression within an output pattern generated from a digitized image of a biological sample applied to an arrayed platform. The output pattern includes signals associated with noise, and signals associated with the biological sample, some of which are degraded or obscured by noise. Signal processing, such as interferometry, or more specifically, resonance interferometry, and even more specifically quantum resonance interferometry or stochastic resonance interferometry, is used to amplify signals associated with the biological sample having an intensity lower than the intensity of signals associated with noise so that they may be clearly distinguished from background noise. The improved detection technique allows rapid, reliable, and inexpensive measurements of arrayed platform output patterns.

Abstract: A technique is described for determining the effectiveness of medical therapy and dosage formulations by analyzing dot spectrograms representative of quantized hybridization activity in biological samples, such as DNA, RNA or other protein biomolecular array samples, taken at different sampling times from a patient undergoing the treatment. The technique directly lends itself to disease progression analysis based on markers such as viral load. In accordance with the technique, a viral diffusion curve associated with a therapy of interest is generated and each dot spectrogram is then mapped to the viral diffusion curve using fractal filtering to yield a filtered viral diffusion curve for each sample. A degree of convergence between the filtered viral diffusion curves is determined.