Abstract: A method of computerized analysis of temporally sequential digital images, including (a) determining first shift values between pixels of a first digital image and corresponding pixels of a second digital image; (b) warping the second digital image based on the first shift values to obtain a first warped image in which spatial locations of pixels are varied in relation to the first shift values; (c) determining second shift values between pixels of the first digital image and pixels of the first warped image; and (d) warping the first warped image based on the second shift values to obtain a second warped image in which spatial locations of pixels of the first warped image are varied in relation to the second shift values.

Abstract: The present invention provides a single-stranded oligodeoxyribonucleotide, which (i) comprises from about 5 to 11 bases, at least one of which is a substituted or an unsubstituted O.sup.6 -benzylguanine, and (ii) inactivates human AGT. The present invention also provides a single-stranded oligodeoxyribonucleotide, which can inactivate a mutant human AGT, which either is not inactivated by O.sup.6 -benzylguanine or is less inactivated by O.sup.6 -benzylguanine than by said single-stranded oligodeoxyribonucleotide. A phosphate of the single-stranded oligodeoxyribonucleotide can be replaced by a methylphosphonate or a phosphorothioate. The present invention also provides a composition comprising such an oligodeoxyribonucleotide. In addition, the present invention provides a method of enhancing the effect of an antineoplastic alkylating agent, which alkylates the O.sup.

Abstract: A computer-aided method for detecting, classifying, and displaying candidate abnormalities, such as microcalcifications and interstitial lung disease in digitized medical images, such as mammograms and chest radiographs, a computer programmed to implement the method, and a data structure for storing required parameters, wherein in the classifying method candidate abnormalities in a digitized medical image are located, regions are generated around one or more of the located candidate abnormalities, features are extracted from at least one of the located candidate abnormalities within the region and from the region itself, the extracted features are applied to a classification technique, such as an artificial neural network (ANN) to produce a classification result (i.e., probability of malignancy in the form of a number and a bar graph), and the classification result is displayed along with the digitized medical image annotated with the region and the candidate abnormalities within the region.

Abstract: An apparatus and method for manipulating small dielectric particles. The apparatus and method involves use of a diffractive optical element which receives a laser beam and forms a plurality of light beams. These light beams are operated on by a telescope lens system and then an objective lens element to create an array of optical traps for manipulating small dielectric particles.

Abstract: Disclosed are lens apparatus in which a beam of charged particlesis brought to a focus by means of a magnetic field, the lens being situated behind the target position. In illustrative embodiments, a lens apparatus is employed in a scanning electron microscopeas the sole lens for high-resolution focusing of an electron beam, and in particular, an electron beam having an accelerating voltage of from about 10 to about 30,000 V. In one embodiment, the lens apparatus comprises an electrically-conducting coil arranged around the axis of the beam and a magnetic pole piece extending along the axis of the beam at least within the space surrounded by the coil. In other embodiments, the lens apparatus comprises a magnetic dipole or virtual magnetic monopole fabricated from a variety of materials, including permanent magnets, superconducting coils, and magnetizable spheres and needles contained within an energy-conducting coil.

Abstract: A method for in-room computer reconstruction of a three-dimensional (3-D) coronary arterial tree from routine biplane angiograms acquired at arbitrary angles and without using calibration objects.

Abstract: An autocrine crystal adhesion inhibitor called CAI is an anionic, sialic acid-containing glycoprotein secreted by kidney epithelial cells that blocks adhesion of calcium oxalate monohydrate (COM) crystals to the cell surface. Novel amino acid sequences are shown for the amino-acid terminus and 6 interval fragments. Persons may be classified according to risk of developing kidney stones, by measuring the amount of CAI in a biological sample. Treatment efficacy is also monitored by this method. CAI is administered in vivo to prevent nephrolithiasis. A rapid, simple assay to detect agents that inhibit adhesion of COM crystals to the surface of kidney epithelial cells is characterized.

Abstract: A semiconstrained prosthetic knee for surgical replacement of a dysfunctional knee includes a tibial platform, a movable bearing element, and a femoral component. The prosthetic knee has an adjusted center of internal/external rotation to achieve at least one advantage such as enhancing performance, minimizing wear, compensating for wear and mimicking the natural center of internal/external rotation of the natural joint.

Abstract: A method for preventing the initiation of colon cancer is disclosed. Vitamin D.sub.3 analogues prevented the development of adenomas and adenocarcinomas when administered to rats prior to, and subsequent to, chemically induced tumorigenesis.

Abstract: This invention relates generally to methods and compositions for direct detection of specific nucleic acid flanking sequences associated with structural chromosomal aberration breakpoints, by forming hybrids between the sequences and genetic probes, and detecting the probes. In particular aspects, the invention concerns detection of nucleic acid sequences in situ in chromosomes, and more specifically in cells, including interphase cells. Compositions of probes useful for detecting chromosomal translocations, in particular those associated with human leukemias, are also disclosed. An aspect of the invention is labelled probes that, when juxtaposed by formation of an aberration, are distinguishable and provide a pattern different from that of normal cells.

Abstract: Self-lubricating resin compositions including a boric acid additive and a synthetic polymer including those thermoset materials.

Abstract: A computerized method for the detection and characterization of disease in an image derived from a chest radiograph, wherein an image in the chest radiograph is processed to determine the ribcage boundary, including lung top edges, right and left ribcage edges, and right and left hemidiaphragm edges. Texture measures including RMS variations of pixel values within regions of interest are converted to relative exposures and corrected for system noise existing in the system used to produce the image. Texture and/or geometric pattern indices are produced. A histogram(s) of the produced index (indices) is produced and values of the histograms) are applied as inputs to a trained artificial neural network, which classifies the image as normal or abnormal.

Abstract: The present invention relates to sebum formation in culture. More particularly, it relates to methods for the identification of compounds that stimulate and inhibit sebum formation in sebocyte culture. Further, it discloses methods for the treatment of conditions relating to excess or deficient sebum formation.

Abstract: Small particles, of macromolecular size or the like, are separated in a liquid by size by applying electric fields of predetermined distributions in time and space to enhance the Brownian motion of the particles so as to favor motion of particles of a particular size. When the particles are separated by size they can be removed from the region in which they have accumulated and they can be collected by size.

Abstract: A method and system for displaying medical images and computer output from various CAD schemes on the images. Images are loaded into the display system and displayed in a main viewing area. The system can display various CAD schemes, such as the automated detection of lung nodules, interstitial infiltrates, and heart size, in the case of a chest image, on the image. The method and system also display interval change (temporal subtraction) between images. Individual abnormality from CAD schemes can be viewed by clicking buttons with minified (postage stamp size) images with CAD annotation rendered into them. The images and results are then shown on a high-speed monitor. Interval change between the current and a previous image can also be chosen by clicking buttons containing minified images. Interval change between any other pair of images for a patient can be selected by choosing from minified subtraction images presented in a two-dimensional array format.

Abstract: A method and apparatus for monitoring a source of data for determining an operating state of a working system. The method includes determining a sensor (or source of data) arrangement associated with monitoring the source of data for a system, activating a method for performing a sequential probability ratio test if the data source includes a single data (sensor) source, activating a second method for performing a regression sequential possibility ratio testing procedure if the arrangement includes a pair of sensors (data sources) with signals which are linearly or non-linearly related; activating a third method for performing a bounded angle ratio test procedure if the sensor arrangement includes multiple sensors and utilizing at least one of the first, second and third methods to accumulate sensor signals and determining the operating state of the system.

Abstract: A method and apparatus for the computerized automatic analysis of lesions in ultrasound images, including the computerized analysis of lesions in the breast, using gradient, gray-level, and texture based measures. Echogenicity features are developed to assess the characteristics of the lesions and in some cases give an estimate of the likelihood of malignancy or of prognosis. The output from the computerized analysis is used in making a diagnosis and/or prognosis. For example, with the analysis of the ultrasound images of the breast, the features can be used to either distinguish between malignant and benign lesions, or distinguish between (i.e., diagnosis) the types of benign lesions such as benign solid lesions (e.g., fibroadenoma), simple cysts, complex cysts, and benign cysts. The ultrasound image features can be merged with those from mammographic and/or magnetic resonance images of the same lesion for classification by means of a common artificial neural network.

Abstract: A method and computerized automated initial image matching technique for enhancing detection of interval changes between temporally subsequent radiographic images via image subtraction. The method includes the steps of digitizing images, normalizing density and contrast in the digital images, correcting for lateral inclination in the digital images, detecting edges of a same feature in each image, converting the images into low resolution matrices, blurring the low resolution images, segmenting portions of the blurred low resolution matrices based on the detected edges, matching the digital images based on a cross-correlation match between the segmented portions, performing non-linear warping to further match Regions of Interest (ROI), and performing image subtraction between the matched digital images. The low resolution matrices are greater than 64.times.64 in size and are produced by averaging.

Abstract: The present invention provides isolated and purified polynucleotides that encode plant and cyanobacterial polypeptides that participate in the carboxylation of acetyl-CoA. Isolated cyanobacterial and plant polypeptides that catalyze acetyl-CoA carboxylation are also provided. Processes for altering acetyl-CoA carboxylation, increasing herbicide resistance of plants and identifying herbicide resistant variants of acetyl-CoA carboxylase are also provided.

Abstract: A method and system for the computerized registration of radionuclide images with radiographic images, including generating image data from radiographic and radionuclide images of the thorax. Techniques include contouring the lung regions in each type of chest image, scaling and registration of the contours based on location of lung apices, and superimposition after appropriate shifting of the images. Specific applications are given for the automated registration of radionuclide lungs scans with chest radiographs. The method in the example given yields a system that spatially registers and correlates digitized chest radiographs with V/Q scans in order to correlate V/Q functional information with the greater structural detail of chest radiographs. Final output could be the computer-determined contours from each type of image superimposed on any of the original images, or superimposition of the radionuclide image data, which contains high activity, onto the radiographic chest image.