Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to determine a complex analysis engine for the ocular aberrometry system based, at least in part, on an aberrometer model and/or an eye model associated with the ocular aberrometry system, wherein the aberrometer model and the eye model are based, at least in part, on wavefront sensor data provided by the wavefront sensor. The logic device is also configured to generate a compact analysis engine for the ocular aberrometry system based, at least in part, on the determined complex analysis engine.

Abstract: Techniques are disclosed for systems and methods to provide dry eye and/or tear film hydration monitoring in the context of ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, determine a tear film hydration state associated with the optical target based, at least in part, on the received ocular aberrometry output data, and generate user feedback corresponding to the determined tear film hydration state based, at least in part, on the received aberrometry output data and/or the determined tear film hydration state.

Abstract: Techniques are disclosed for systems and methods to provide dry eye and/or tear film hydration monitoring in the context of ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, determine a tear film hydration state associated with the optical target based, at least in part, on the received ocular aberrometry output data, and generate user feedback corresponding to the determined tear film hydration state based, at least in part, on the received aberrometry output data and/or the determined tear film hydration state.

Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry recovery. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, identify imaging artifact induced singularities in the received ocular aberrometry output data, determine corrected aberrometry output data based, at least in part, on the identified singularities and the received ocular aberrometry output data, and generate user feedback corresponding to the received ocular aberrometry output data based, at least in part, on the corrected aberrometry output data.

Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry recovery. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, identify imaging artifact induced singularities in the received ocular aberrometry output data, determine corrected aberrometry output data based, at least in part, on the identified singularities and the received ocular aberrometry output data, and generate user feedback corresponding to the received ocular aberrometry output data based, at least in part, on the corrected aberrometry output data.

Abstract: Certain aspects of the present disclosure provide a system for processing image data from an intraoperative diagnostic device in real-time during an ophthalmic procedure. The system comprises an image capture element that captures a grayscale image of a first size and an image processing element that scales the grayscale image from the first size to a second size. The system also comprises a two-stage classification model comprising: a feature extraction stage to process the scaled grayscale image and generate a feature vector based on the scaled grayscale image and a classification stage to process the feature vector and generate an output vector. The image processing element is further configured to determine an image quality of the obtained grayscale image based on the output vector for display to an operator and the image quality of the obtained grayscale image indicates a probability that the obtained grayscale image includes an artifact.

Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, determine estimated ocular alignment deviations corresponding to a relative position and/or orientation of the optical target monitored by the ocular aberrometry system based, at least in part, on the received ocular aberrometry output data, and generate user feedback corresponding to the received ocular aberrometry output data based, at least in part, on the estimated ocular alignment deviations.

Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to determine a complex analysis engine for the ocular aberrometry system based, at least in part, on an aberrometer model and/or an eye model associated with the ocular aberrometry system, wherein the aberrometer model and the eye model are based, at least in part, on wavefront sensor data provided by the wavefront sensor. The logic device is also configured to generate a compact analysis engine for the ocular aberrometry system based, at least in part, on the determined complex analysis engine.

Abstract: Techniques are disclosed for systems and methods to provide dry eye and/or tear film hydration monitoring in the context of ocular aberrometry. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, determine a tear film hydration state associated with the optical target based, at least in part, on the received ocular aberrometry output data, and generate user feedback corresponding to the determined tear film hydration state based, at least in part, on the received aberrometry output data and/or the determined tear film hydration state.

Abstract: Techniques are disclosed for systems and methods to provide improved ocular aberrometry recovery. An ocular aberrometry system includes a wavefront sensor configured to provide wavefront sensor data associated with an optical target monitored by the ocular aberrometry system and a logic device configured to communicate with the wavefront sensor. The logic device is configured to receive ocular aberrometry output data including at least the wavefront sensor data provided by the wavefront sensor, identify imaging artifact induced singularities in the received ocular aberrometry output data, determine corrected aberrometry output data based, at least in part, on the identified singularities and the received ocular aberrometry output data, and generate user feedback corresponding to the received ocular aberrometry output data based, at least in part, on the corrected aberrometry output data.

Abstract: A method (100) of authenticating a subject (21) using a plurality of biometric traits, comprising: determining (110) a first data set representative of a first biometric trait that is based on at least one of iris pattern or iris colour of the subject; determining (120) a second data set representative of a second biometric trait that is based on a corneal surface of the subject; comparing (130) the first data set representative of the first biometric trait with a first reference and the second data set representative of the second biometric trait with a second reference; and authenticating (140) an identity of the subject based on the comparison.

Abstract: This invention concerns apparatus and a method for authenticating a subject using their eye as an identifying biometric, in particular the shape of their cornea. The apparatus comprises an image projection device to generate and project an image of a pattern, made up of plural discrete points, onto at least a part of the cornea of an eye of the person. An image capture device to capture an image of the pattern of plural discrete points, after reflection in at least a part of the cornea of an eye of the person. And, a computer processor to extract a data set defining the locations of the discrete points in the captured image. The method comprises capturing an image of an illuminated pattern, made up of plural discrete points, after reflection in at least a part of the cornea of an eye of the subject. Comparing the locations of the discrete points in the pattern of the captured image against the locations of the discrete points in the pattern of a reference image.

Abstract: An ophthalmic method for determining relationships for calculating intraocular lens (IOL) power correction values is disclosed. The method may involve obtaining estimates of the postoperative optical power of a plurality of eyes undergoing IOL implant surgery. Measurements of the postoperative optical power and of one or more characteristics (e.g., axial length) of the eyes can also be obtained. The eyes can be separated into groups based upon their axial lengths. For each of the groups, a mathematical relationship can be determined for calculating IOL power correction values based on the measured characteristics. The mathematical relationship can reduce prediction error for the respective eyes in each group when applied to the corresponding estimates of the postoperative optical power. Methods and systems are also disclosed for using the IOL power correction values.

Abstract: A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.

Abstract: This invention concerns apparatus and a method for authenticating a subject using their eye as an identifying biometric, in particular the shape of their cornea. The apparatus comprises an image projection device to generate and project an image of a pattern, made up of plural discrete points, onto at least a part of the cornea of an eye of the person. An image capture device to capture an image of the pattern of plural discrete points, after reflection in at least a part of the cornea of an eye of the person. And, a computer processor to extract a data set defining the locations of the discrete points in the captured image. The method comprises capturing an image of an illuminated pattern, made up of plural discrete points, after reflection in at least a part of the cornea of an eye of the subject. Comparing the locations of the discrete points in the pattern of the captured image against the locations of the discrete points in the pattern of a reference image.

Abstract: A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.

Abstract: An apparatus and method for authenticating a subject using the eye as an identifying biometric, in particular the shape of the cornea. An image projection device generates and projects an image of a pattern, of plural discrete points, onto at least a part of the cornea of the eye. An image capture device captures an image of the pattern of plural discrete points, after reflection from the cornea of the eye. A computer processor extracts data defining the locations of the discrete points in the captured image. The method steps are capturing an image of a pattern, made up of plural discrete points, after reflection from of the cornea of a subject; comparing the locations of the discrete points in the captured image against the locations of discrete points in a pattern of a reference image; and, authenticating the identity of the subject depending on the similarity of the comparison.

Abstract: An ophthalmic method for determining relationships for calculating intraocular lens (IOL) power correction values is disclosed. The method may involve obtaining estimates of the postoperative optical power of a plurality of eyes undergoing IOL implant surgery. Measurements of the postoperative optical power and of one or more characteristics (e.g., axial length) of the eyes can also be obtained. The eyes can be separated into groups based upon their axial lengths. For each of the groups, a mathematical relationship can be determined for calculating IOL power correction values based on the measured characteristics. The mathematical relationship can reduce prediction error for the respective eyes in each group when applied to the corresponding estimates of the postoperative optical power. Methods and systems are also disclosed for using the IOL power correction values.

Abstract: A system and method for determining an objective quality metric for image data collected by a wavefront aberrometer. The method may include quantifying a plurality of characteristics of the image data and calculating the objective quality metric based on the quantified characteristics of the image data. The objective quality metric can be a weighted sum of the quantified characteristics of the image data. The weightings for the weighted sum can be determined based on subjective quality metrics assigned to a set of training image data by a human expert.

Abstract: An apparatus and method for authenticating a subject using the eye as an identifying biometric, in particular the shape of the cornea. An image projection device generates and projects an image of a pattern, of plural discrete points, onto at least a part of the cornea of the eye. An image capture device captures an image of the pattern of plural discrete points, after reflection from the cornea of the eye. A computer processor extracts data defining the locations of the discrete points in the captured image. The method steps are capturing an image of a pattern, made up of plural discrete points, after reflection from of the cornea of a subject; comparing the locations of the discrete points in the captured image against the locations of discrete points in a pattern of a reference image; and, authenticating the identity of the subject depending on the similarity of the comparison.