Abstract: A multi-modal system that can perform optical coherence tomography (OCT), scanning laser ophthalmoscopy (fluorescence and reflectance), adaptive optics enhancement, and OCT-angiography simultaneously is presented. Such a system minimizes registration errors in multi-modality images, and accelerates biomedical research. Such a system could also permit enhanced high-speed diagnosis. This system would also permit a wide-selection of excitation wavelengths to measure fluorescence intensity from a variety of fluorophores and auto-fluorescing tissues. A novel animal positioning system that can easily align with the imaging beams for optimal image quality and high-speed experiment-setup and imaging of animals is also presented.

Abstract: A method, apparatus, system, and computer program code for automatic data retrieval and validation. A computer system generates an audit file including a set of data objects. The computer system validates the data objects with a compliance policy by deploying a set of software bots to interact at a user level with a set of application programs. In response to validating the data objects, the computer system reflects validation results into a user interface.

Abstract: Methods and systems are provided for the assignment and placement of at least two related workloads, including a first workload and a second workload, to one or more computing nodes in a computing cluster containing at least three computing nodes. In one example, a method includes assigning the first workload to a first computing node based upon a functional relationship between the first workload and the second workload to produce a first assignment, assigning the second workload to a second computing node based upon the functional relationship between the first workload and the second workload to produce a second assignment, and placing the first workload in the first computing node and placing the second workload in the first computing node based on the first and second assignments.

Abstract: There is a need for robust and portable system, apparatus and method for imaging subsurface of specimens. We have described a modular OCDR-OCT system and OFDR-OCT system to obtain high quality images. The instant application also discusses proprietary algorithms that have been modified from existing algorithms and their use as a combination to suit a particular system. The imaging of stationary, moving and combination of both subsurface structures such as retina for diabetic patients is described.

Abstract: A system and computer-implemented method for validating one or more database objects is provided. The system comprises an application, residing on one or more client devices, configured to establish a connection with a validation module and scan one or more databases connected to the validation module. Further, the validation module comprises a schema look-up module configured to identify one or more database objects from the one or more scanned databases. The validation module further comprises a parameterization module to facilitate selection of a validation mode and provide one or more input parameters based on the selected validation mode. Furthermore, the validation module comprises an execution engine configured to execute the one or more identified database objects using the one or more provided input parameters and generate validation results. In addition, the validation module comprises a reporting module configured to generate one or more validation reports using the generated validation results.

Abstract: There is a need for robust and portable system, apparatus and method for imaging subsurface of specimens. We have described a modular OCDR-OCT system and OFDR-OCT system to obtain high quality images. The instant application also discusses proprietary algorithms that have been modified from existing algorithms and their use as a combination to suit a particular system. The imaging of stationary, moving and combination of both subsurface structures such as retina for diabetic patients is described.

Abstract: The tunable filter placed in front of the detector to make the interferometer more sensitive and accurate for reading various samples for diagnosis. Optical Coherence Tomography (OCT) system and apparatus of this instant application is very useful for diagnosis and management of ophthalmic diseases such as retinal diseases and glaucoma etc. Instant innovative OCT diagnostic system leverages advancements in cross technological platforms. Both the Michelson interferometric system and Mach-Zehnder interferometric system presented in this application could be used for the OCT imaging, which includes biological OCT imaging, medical OCT imaging, ophthalmic OCT imaging, corneal OCT imaging, retinal OCT imaging, and the like.

Abstract: There is a need for robust and portable system, apparatus and method for imaging subsurface of specimens. We have described a modular OCDR-OCT system and OFDR-OCT system to obtain high quality images. The instant application also discusses proprietary algorithms that have been modified from existing algorithms and their use as a combination to suit a particular system. The imaging of stationary, moving and combination of both subsurface structures such as retina for diabetic patients is described.

Abstract: Integrated backlight unit (BLU) and liquid crystal systems and circuits in liquid crystal display (LCD) systems are described. An LCD system can include a BLU to emit light at different intensities, and a BLU controller coupled to the BLU and configured to control the intensities. An LCD unit can receive the emitted light, and emanate light at a selected luminosity. The LCD unit can include pixels corresponding to: a liquid crystalline medium to provide a transmittance of the light emitted or to transmit a color light; and transistors adapted to modulate reference voltages. An LCD unit controller can be coupled to the LCD unit and configured to control luminosity of the light emanated from the LCD unit. The BLU and the LCD unit, which can be integrated in a single integrated circuit, can be controlled during concurrent time periods for contrast enhancement of images displayed from the LCD unit.

Abstract: A method includes receiving an input file comprising input color values in a first color space. The at least one input color value includes an over-range color value in the first color space. The method also includes encoding the input color values including encoding each over-range color value as an in-range color value in the first color space to generate encoded input color values. The method further includes creating an output file that includes the encoded color values and an indicator. The indicator indicates that the output file includes encoded color values.

Abstract: Integrated backlight unit (BLU) and liquid crystal systems and circuits in liquid crystal display (LCD) systems are described. An LCD system can include a BLU to emit light at different intensities, and a BLU controller coupled to the BLU and configured to control the intensities. An LCD unit can receive the emitted light, and emanate light at a selected luminosity. The LCD unit can include pixels corresponding to: a liquid crystalline medium to provide a transmittance of the light emitted or to transmit a color light; and transistors adapted to modulate reference voltages. An LCD unit controller can be coupled to the LCD unit and configured to control luminosity of the light emanated from the LCD unit. The BLU and the LCD unit, which can be integrated in a single integrated circuit, can be controlled during concurrent time periods for contrast enhancement of images displayed from the LCD unit.

Abstract: Processing Digital Picture eXchange (DPX) data obtained by scanning Negative Camera Film to colormetrically recreate an original de-rendered scene image is described. One method described includes converting a DPX color file, obtained from scanning a camera negative film used to capture a scene with a film camera, to scene color data using an ICC Color management engine. The ICC Color management engine executes an ICC color profile created using parameters representing a characteristic curve and spectral sensitivity of the camera negative film.

Abstract: A method is described for providing an accurate cinema screen preview of digitized image data. The method may determine an exposure range of print film using an encoding range and a color calibration reference. In addition, a sensitometric curve associated with the print film may be sampled over the exposure range to obtain a plurality of density samples. The density samples may be converted to transmittance samples and the transmittance samples may be encoded in a color profile. In some variations, the method may also determine transmittance spectra for CMY layers and RGB, determine XYZ values and encode the XYZ values in the color profile.

Abstract: A method for deriving a reverse model look-up table whose entries represent device dependent colors as a function of device independent colors, based on a forward model look-up table whose entries represent device independent colors obtained in response to printout of corresponding device dependent colors. For each device independent target color, a binary search of the forward model look-up table is performed so as to locate a cell that contains the device independent target color. The grid points from the forward model look-up table that define the cell are interpolated so as to obtain device dependent colors corresponding to the device independent target color. The device dependent color is stored at the grid point for the reverse model look-up table at a position corresponding to the device independent target color.

Abstract: A method for deriving a reverse model look-up table whose entries represent device dependent colors as a function of device independent colors, based on a forward model look-up table whose entries represent device independent colors obtained in response to printout of corresponding device dependent colors. For each device independent target color, a binary search of the forward model look-up table is performed so as to locate a cell that contains the device independent target color. The grid points from the forward model look-up table that define the cell are interpolated so as to obtain device dependent colors corresponding to the device independent target color. The device dependent color is stored at the grid point for the reverse model look-up table at a position corresponding to the device independent target color.

Abstract: A configurable color and image management system which allows a developer to create customized color and image management for a color-related application operating in a specified environment. A configurator is provided which has access to a library of plural classes of color and image management functionality, with each class including plural different modules of varying complexity and processing quality. The classes pertain to different aspects of color and image management functionality, such as a class to perform linearization and gamma correction, a class to perform color space transformation, a class to perform image correction, a class to perform gray color component replacement, a class to perform image expansion, and a class to perform halftone processing. The developer provides design parameters which define the operating environment within which the target color and image management system is designed to operate.

Abstract: Determining a skew angle of a bitmap image comprising of background and image pixels and de-skewing the bitmap image by the determined skew angle. The bitmap image skew angle is determined by calculating plural estimates of the skew angle with corresponding reliability indicators and thereafter selecting the estimate skew angle with the best reliability indicator as the bitmap image skew angle and then de-skew the bitmap image by the determined skew angle. Thereafter, auto-cropping the de-skewed image around a rectangle defined by a first and last column and first and last row of pixels which are not all white.

Abstract: Compression for color values of pixels in a raster image of pixels, in which pixels are selected in a checkerboard-like pattern. Pixels selected by the checkerboard are not compressed at all, whereas pixels not selected by the checkerboard are compressed by using the color of the closest one of adjacent selected pixels and of a few predetermined colors.