Ncr Corporation

Alcon, Inc.

Novartis Ag

Ncr International Inc.

Yeming Gu

Donald Alexander Collins, Jr

Hong Tang

Daniel B Seevers

Yongxing Qiu

Robert Carey Tucker

Paul Oliver Detwiler

Barry M Mergenthaler

Rex A Aleshire

Stephen J Ames

Curtis Dean McKenney

John K Burkey

Cornelius Daniel Niculas

William Jordan Hall

Michael A Spencer

Jeffrey P Treptau

David Andrew Icenogle

Deborah Jean Mulcahy

Jeffrey Peter Treptau

Steven Wayne Damron

Rebeca Kyker Bowden

Benjamin David Sullivan

Yan Wang

Curtis Mckenney

Michael Allen Spencer

Rex Allen Aleshire

Stephen John Ames

Daniel Byron Seevers

The invention is related to a contact lens, especially a SiHy contact lens, which comprises a lens bulk material covered with an outer surface hydrogel layer thereon and has a posterior surface and an opposite anterior surface. The outer surface hydrogel layer consists of an anterior outer hydrogel layer and a posterior outer hydrogel layer. A contact lens of the invention is characterized by having a difference in surface softness between its posterior (BC) and anterior (FC) surfaces.

Contact lenses with surfaces having different softness

A cuvette with at least one side having materials with thermal conductivity of at least 5 W/m-K, such as sapphire, for holding contact lenses or intra-ocular lenses during optical measurements. The cuvette may further include a backstop to ensure consistent measurements and a pedestal to minimize optical measurement variations.

Cuvette for optical lens analyses

A method of manufacturing of an astigmatic contact lens having a toric portion and a thickness differential feature to provide lens orientation on eye portion such that said thickness differential causes the toric portion of the contact lens to properly orient in the eye of the wearer. The toric lenses are manufactured by an effective process control method for cylinder power in toric lens production by determining an amount of a mold cylinder compensation which is caused by processes in a toric lens manufacturing system including tool making, injection molding, casting and curing, wherein the mold cylinder is defined as the difference in measured radius of curvature at two orthogonal directions. A control metric is established by using the amount of a mold cylinder compensation and tolerance range and reject mold out of the control limits and improve the production yield for toric lens manufacturing.

Method for manufacturing toric contact lenses

A method of manufacturing of an astigmatic contact lens having a toric portion and a ballast portion such that said ballast portion causes the toric portion of the contact lens to properly orient in the eye of the wearer. The toric lenses are manufactured by an effective process control method for cylinder axis angle in toric lens production by modifying the target cylinder angle for mold rotation by eliminating the accumulative cylinder axis error from all previous steps including tool making, tool assembly, and molding. The amount modifying the target angle is determined by accurately determine the true cylinder axis on the corresponding mold by using a high-resolution interferometer, such as FISBA FS10M or equivalent models from Trioptics &#x3bc;Shape&#xae; vertical series.

The invention is generally directed to an apparatus and a method for measuring a refractive index of a soft contact lens under a consistent pressure.

Method and apparatus for the measurement of the refraction index of a hydrogel contact lens

A method and system to provide for increased signal intensity and improved signal quality in Fourier-domain optical coherence tomography (FDOCT) by capturing the real and virtual images of an object being imaged by FDOCT in sequence or consecutively.

Combination of mirror images to improve signal quality for contact lenses

Described herein are methods for imaging ocular devices. The methods generally involve (a) applying a scattering agent to the ocular device; and (b) imaging the ocular device using optical coherence tomography (OCT). The methods described herein provide useful structural information about the surface of the device with high sensitivity.

Methods for imaging ocular devices using optical coherence tomography

Techniques for using imaging information computed from examining a scanner signal are described. When one or more objects passes within a field of view of a scanner, scan patterns emerging from one or more scanner windows and reflected from the objects back into the scanner windows produce one or more scanner signals. The scanner signals are processed to obtain beam position and beam length information to improve the accuracy of bar code decoding and to compute imaging information for objects within the field of view of the scanner. The imaging information for the objects is compared with bar code information for the objects. The expected number, size and shapes of objects indicated by the bar code information is compared with the actual number, size and shapes of objects in order to determine if valid scans occurred or if missed, double or otherwise erroneous scans occurred.

Methods and apparatus for using imaging information to improve scanning accuracy in bar code scanners

An optical scanner having enhanced item side coverage which scans all six sides of an item and an intermediate side. The optical scanner includes a scanner housing, a first optics assembly within the scanner housing including a horizontal aperture, and a second optics assembly including a second housing within the scanner housing including a substantially vertical aperture. The first and second optics assemblies are capable of scanning six sides of an item. At least one of the first and second optics assemblies additionally generates third scan lines for scanning an intermediate side of the item.

Optical scanner having enhanced item side coverage

A produce recognition system and method which use an internal reference to calibrate a produce data collector. The produce data collector collects first data from an external reference, collects second and third data from an internal reference, and collects fourth data from a produce item. A computer determines a first calibration value from the first and second data and a second calibration value from the third data and applies the first and second calibration values to the fourth data to produce fifth data. The computer further obtains sixth data from reference produce data and compares the fifth and sixth data to identify the produce item.

Produce recognition system and method

A produce texture data collecting apparatus and method which illuminates a produce item from different directions. The apparatus includes a first light for illuminating a produce item from a first direction, a second light for illuminating the produce item from a second direction, an image capture device for capturing an image of the produce item while the produce item is being illuminated by the first and second lights.

Produce texture data collecting apparatus and method

Techniques for using a scan pattern to estimate imaging information for an object reflecting the scan pattern are described. As an object is brought within range of a scan window, a scan beam tracing out a scan pattern comprising a plurality of scan lines causes reflection of the scan beam back into the scan window to produce a scanner signal based on reflections of the scan beam. The time at which the scanner signal indicates the presence of an object is noted and this timing information is mapped to position information identifying the position of the scan beam. The timing and position information is used to estimate imaging information about the object, including position, size, shape and motion information.

Methods and apparatus for obtaining imaging information in bar code scanners

A method of combining spectral data with non-spectral data which uses a defined distance measure of likeness (DML) value and conditional probabilities. The method includes the steps of collecting the spectral and non-spectral data for the produce item, determining DML values between the spectral and the non-spectral data and reference produce data for a plurality of types of produce items, determining conditional probability densities for all of the types of produce items using the DML values, combining the conditional probability densities to form a combined conditional probability density, and determining probabilities for the types of produce items from the combined conditional probability density.

Growing community of inventors

Suwanee, GA, United States of America

Yeming Gu