Applied Precision, Inc.

Samsung Electronics Co., Ltd.

Ge Healthcare Bio-sciences Corp.

Carl S Brown

Paul Carlyle Goodwin

Steven A Reese

Kyla Teplitz

Seong-ho Cho

Kyu-sang Lee

John Timothy Strom

Kyu-Sang Lee

Steve Goodson

Ray H Kraft

Mark D Cavelero

An apparatus for scanning a biometric device includes a camera that scans the biometric device to generate images, and a computer that extracts data from the images. The computer measures three-dimensional locations of at least three different positions on a surface of the biometric device, determines a virtual approximation plane or a curved surface with respect to the surface of the biometric device based on the measured three-dimensional locations, determines imaging locations of two or more panels disposed on the biometric device based on the virtual approximation plane or the curved surface, obtains individual images of the two or more panels by scanning the biometric device based on the determined imaging locations, and extracts overall data of the biometric device from the individual images of the two or more panels.

Method of scanning biochip and apparatus for performing the same

A system and method of image processing employ mathematical deconvolution to estimate the magnitude and location of a target object within an image. Both the nature of internal reflections and the convolution process by which each internal reflection contributes to blurring of the acquired image data may be measured and modeled. In accordance with mathematical deconvolution techniques, the combined effects of these internal reflections may be reduced to the extent that respective contributions of the target object and each individual reflection may be distinguished and quantified.

Deconvolution for the reduction of blurring induced by internal reflections

A substrate includes; a fiducial mark disposed on the substrate, an area on the substrate on which a probe material is configured to be immobilized, the area being separated from the fiducial mark, and a probe immobilization compound disposed on the area on the substrate on which the probe material is configured to be immobilized, wherein the fiducial mark has a structure which reflects irradiated light at a greater intensity than an intensity of reflected irradiated light form the area on the substrate not corresponding to the fiducial mark.

Microarray having bright fiducial mark and method of obtaining optical data from the microarray

A new optical substrate design allows a target to be illuminated with minimal illumination of undesired surfaces within the image collection ray path. The non rectangular substrate provide different surfaces through which a target is illuminated and imaged and thereby prevents illumination rays from crossing the substrate surface through which the target is imaged

Optical substrate for reduced background fluorescence

A system and method of image processing employ mathematical deconvolution to estimate the magnitude and location of a target object within an image. Both the nature of internal reflections and the convolution process by which each internal reflection contributes to blurring of the acquired image data may be measured and modeled. In accordance with mathematical deconvolution techniques, the combined effects of these internal reflections may be reduced to the extend that respective contributions of the target object and each individual reflection may be distinguished and quantified.

A system and method employing photokinetic techniques in cell biology imaging applications are disclosed. Systems and methods of acquiring image data of an object may comprise: selectively inducing photoactivation of material at a site on the object; performing an optical axis integration scan; simultaneously executing a time delay integration scan sequence; and processing acquired image data in accordance with one or more desired analyses. Various methodologies and applications may include, inter alia, selective photobleaching of a site on the object, diffusion rate, velocity, and wave-front propagation analyses, multi-dimensional analyses of dispersion characteristics, biomolecular binding in cellular organelles, and photoactivation assisted systematic image segmentation for the study of cellular components.

System and method employing photokinetic techniques in cell biology imaging applications

Expression profiling using DNA microarrays is an important new method for analyzing cellular physiology. In 'spotted' microarrays, fluorescently labeled cDNA from experimental and control cells is hybridized to arrayed target DNA and the arrays imaged at two or more wavelengths. Statistical analysis is performed on microarray images and show that non-additive background, high intensity fluctuations across spots, and fabrication artifacts interfere with the accurate determination of intensity information. The probability density distributions generated by pixel-by-pixel analysis of images can be used to measure the precision with which spot intensities are determined. Simple weighting schemes based on these probability distributions are effective in improving significantly the quality of microarray data as it accumulates in a multi-experiment database. Error estimates from image-based metrics should be one component in an explicitly probabilistic scheme for the analysis of DNA microarray data.

Image metrics in the statistical analysis of DNA microarray data

An image acquisition system and method employing multi-axis integration (MAI) may incorporate both optical axis integration (OAI) and time-delay integration (TDI) techniques. Disclosed MAI systems and methods may integrate image data in the z direction as the data are acquired, projecting the image data prior to deconvolution. Lateral translation of the image plane during the scan in the z direction may allow large areas to be imaged in a single scan sequence.

Multi-axis integration system and method

A plurality of panels are assembled into a single image. Each of the panels may have different intensities throughout the panel, as well as non-uniformities between panels. The panels are modified using flat-field calibration, panel flattening, and panel connecting techniques. These techniques correct for non-uniformities and provide a cleaner, single image.

Flat-field, panel flattening, and panel connecting methods

A scanning system is calibrated to correct for possible panel misalignments errors. A reference slide or data point is used to obtain a series of measurements with the scanning system. These measurements are compared with the expected results to determine systematic alignment errors in the scanning system. A model is created to correct the alignment errors during the scanning process, thus providing a plurality of more accurate scans. The plurality of scans may then be assembled to create a complete image of the scan area.

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Seattle, WA, United States of America

Carl S Brown