Ut-battelle, Inc.

Martin Marietta Energy Systems, Inc.

University of Tennessee Research Foundation

Lockheed Martin Energy Research Corp. Oak Ridge National Laboratory

Kenneth William Tobin, Jr

Thomas P Karnowski

Edward Chaum

Clarence E Thomas

Philip R Bingham

Jeffrey D Muhs

Regina Kay Ferrell

Panagiotis George Datskos

Joseph B Dooley

Tommy Joe Phelps

Michael J Paulus

Shaun S Gleason

Hamed Sari-Sarraf

John K Jordan

John V LaForge

Ayman I Hawari

Vijaya Priya Muthusamy Govindasamy

Systems for determining the presence and distribution of gas emissions in an area are provided. For example, a system may include one or more light detectors and one or more reflectors and/or one more retroreflectors disposed around the perimeter, a light source configured to emit light at a plurality of wavelengths towards the one or more light detectors and/or the one or more reflectors and/or one or more retroreflectors, and one or more processors configured to receive information representing light intensity detected by the one or more light detectors, respectively at each of the plurality of wavelengths and determine gases present in each path based on the light intensity detected by the respective detector at each of the plurality of wavelengths and distribution thereof. The path being either light source-respective detector, light source-respective reflector-respective detector or light source-respective retroreflector-respective detector. Other system may not use reflectors and/or retroreflectors.

CTIR spectrometer for large area assessment of gas emissions

A method for diagnosing diseases having retinal manifestations including retinal pathologies includes the steps of providing a CBIR system including an archive of stored digital retinal photography images and diagnosed patient data corresponding to the retinal photography images, the stored images each indexed in a CBIR database using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the stored images. A query image of the retina of a patient is obtained. Using image processing, regions or structures in the query image are identified. The regions or structures are then described using the plurality of feature vectors. At least one relevant stored image from the archive based on similarity to the regions or structures is retrieved, and an eye disease or a disease having retinal manifestations in the patient is diagnosed based on the diagnosed patient data associated with the relevant stored image(s).

Method and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient data

An imaging system employing a coded aperture mask having multiple pinholes is provided. The coded aperture mask is placed at a radiation source to pass the radiation through. The radiation impinges on, and passes through an object, which alters the radiation by absorption and/or scattering. Upon passing through the object, the radiation is detected at a detector plane to form an encoded image, which includes information on the absorption and/or scattering caused by the material and structural attributes of the object. The encoded image is decoded to provide a reconstructed image of the object. Because the coded aperture mask includes multiple pinholes, the radiation intensity is greater than a comparable system employing a single pinhole, thereby enabling a higher resolution. Further, the decoding of the encoded image can be performed to generate multiple images of the object at different distances from the detector plane. Methods and programs for operating the imaging system are also disclosed.

Apparatus and method to achieve high-resolution microscopy with non-diffracting or refracting radiation

A method for assigning a confidence metric for automated determination of optic disc location that includes analyzing a retinal image and determining at least two sets of coordinates locating an optic disc in the retinal image. The sets of coordinates can be determined using first and second image analysis techniques that are different from one another. An accuracy parameter can be calculated and compared to a primary risk cut-off value. A high confidence level can be assigned to the retinal image if the accuracy parameter is less than the primary risk cut-off value and a low confidence level can be assigned to the retinal image if the accuracy parameter is greater than the primary risk cut-off value. The primary risk cut-off value being selected to represent an acceptable risk of misdiagnosis of a disease having retinal manifestations by the automated technique.

Method and system for assigning a confidence metric for automated determination of optic disc location

A method of increasing information content for content-based image retrieval (CBIR) systems includes the steps of providing a CBIR database, the database having an index for a plurality of stored digital images using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the images. A visual similarity parameter value is calculated based on a degree of visual similarity between features vectors of an incoming image being considered for entry into the database and feature vectors associated with a most similar of the stored images. Based on said visual similarity parameter value it is determined whether to store or how long to store the feature vectors associated with the incoming image in the database.

Method for the reduction of image content redundancy in large image databases

A method for indexing and retrieving manufacturing-specific digital images based on image content comprises three steps. First, at least one feature vector can be extracted from a manufacturing-specific digital image stored in an image database. In particular, each extracted feature vector corresponds to a particular characteristic of the manufacturing-specific digital image, for instance, a digital image modality and overall characteristic, a substrate/background characteristic, and an anomaly/defect characteristic. Notably, the extracting step includes generating a defect mask using a detection process. Second, using an unsupervised clustering method, each extracted feature vector can be indexed in a hierarchical search tree. Third, a manufacturing-specific digital image associated with a feature vector stored in the hierarchicial search tree can be retrieved, wherein the manufacturing-specific digital image has image content comparably related to the image content of the query image. More particularly, can include two data reductions, the first performed based upon a query vector extracted from a query image. Subsequently, a user can select relevant images resulting from the first data reduction. From the selection, a prototype vector can be calculated, from which a second-level data reduction can be performed. The second-level data reduction can result in a subset of feature vectors comparable to the prototype vector, and further comparable to the query vector. An additional fourth step can include managing the hierarchical search tree by substituting a vector average for several redundant feature vectors encapsulated by nodes in the hierarchical search tree.

Method for indexing and retrieving manufacturing-specific digital imagery based on image content

A method for localizing and isolating an errant process includes the steps of retrieving from a defect image database a selection of images each image having image content similar to image content extracted from a query image depicting a defect, each image in the selection having corresponding defect characterization data. A conditional probability distribution of the defect having occurred in a particular process step is derived from the defect characterization data. A process step as a highest probable source of the defect according to the derived conditional probability distribution is then identified. A method for process step defect identification includes the steps of characterizing anomalies in a product, the anomalies detected by an imaging system. A query image of a product defect is then acquired. A particular characterized anomaly is then correlated with the query image. An errant process step is then associated with the correlated image.

Method for localizing and isolating an errant process step

A method for ultra-high resolution computed tomography imaging, comprising the steps of: focusing a high energy particle beam, for example x-rays or gamma-rays, onto a target object; acquiring a 2-dimensional projection data set representative of the target object; generating a corrected projection data set by applying a deconvolution algorithm, having an experimentally determined a transfer function, to the 2-dimensional data set; storing the corrected projection data set; incrementally rotating the target object through an angle of approximately 180&deg;, and after each the incremental rotation, repeating the radiating, acquiring, generating and storing steps; and, after the rotating step, applying a cone-beam algorithm, for example a modified tomographic reconstruction algorithm, to the corrected projection data sets to generate a 3-dimensional image. The size of the spot focus of the beam is reduced to not greater than approximately 1 micron, and even to not greater than approximately 0.5 microns.

Ultra-high resolution computed tomography imaging

A method for imaging a target volume comprises the steps of: radiating a small bandwidth of energy toward the target volume; focusing the small bandwidth of energy into a beam; moving the target volume through a plurality of positions within the focused beam; collecting a beam of energy scattered from the target volume with a non-diffractive confocal coded aperture; generating a shadow image of said aperture from every point source of radiation in the target volume; and, reconstructing the shadow image into a 3-dimensional image of the every point source by mathematically correlating the shadow image with a digital or analog version of the coded aperture. The method can comprise the step of collecting the beam of energy scattered from the target volume with a Fresnel zone plate.

Confocal coded aperture imaging

An apparatus and method for performing automated defect spatial signature alysis on a data set representing defect coordinates and wafer processing information includes categorizing data from the data set into a plurality of high level categories, classifying the categorized data contained in each high level category into user-labeled signature events, and correlating the categorized, classified signature events to a present or incipient anomalous process condition.

Automated defect spatial signature analysis for semiconductor

A fiber optic vibration sensor utilizes two single mode optical fibers supported by a housing with one optical fiber fixedly secured to the housing and providing a reference signal and the other optical fiber having a free span length subject to vibrational displacement thereof with respect to the housing and the first optical fiber for providing a signal indicative of a measurement of any perturbation of the sensor. Damping or tailoring of the sensor to be responsive to selected levels of perturbation is provided by altering the diameter of optical fibers or by immersing at least a portion of the free span length of the vibration sensing optical fiber into a liquid of a selected viscosity.

Fiber optic vibration sensor

Apparatus for weighing a vehicle in motion is provided by employing a plurality of elongated fiber-optic sensors defined by an optical fiber embedded in an encasement of elastomeric material and disposed parallel to each other on the roadway in the path of moving vehicles. Each fiber-optic sensor is provided with contact grid means which can be selectively altered to provide the fiber-optic sensors with sensitivities to vehicular weight different from each other for weighing vehicles in an extended weight range. Switch means are used in conjunction with the fiber-optic sensors to provide signals indicative of the speed of the moving vehicle, the number of axles on the vehicle, weight distribution, tire position, and the wheelbase of the vehicle. The use of a generally N-shaped configuration of switch means also provides a determination of the number of tires on each axle and the tire footprint. When switch means in this configuration are formed of optical fibers, the extent of light transmission through the fibers during contact with the tires of the vehicle is indicative of the vehicle weight.

Growing community of inventors

Harriman, TN, United States of America

Kenneth William Tobin, Jr