Abstract: A method for optimizing an ophthalmic treatment, comprising: measuring a patient's eye with an ophthalmic measurement instrument, fabricating a trial correction lens and testing it on the patient's eye, determining a score or success criteria for the trial correction, using the score or success criteria to provide training information to a machine-learning algorithm, and using the machine-learning algorithm to determine an optimal ophthalmic correction.

Abstract: This invention comprises a combined optical wavefront aberrometer and topographer system that is used in conjunction with a contact lens that has a plurality of fiducial marks disposed on the lens. The fiducial marks are located radially inside of the undilated pupil's diameter. The optical imaging capacity of the aberrometer is used to measure and monitor any misalignments of the contact lens's position (XY decentration) and/or rotation. Image analysis algorithms are used to track the positions of the fiducial marks, and, hence, the amount of geometric misalignment of the contact lens can be calculated. The fiducial marks can comprise micro ink spots, or depressions in the surface of the contact lens (e.g., divots, dimples, pits), or other small surface features, including raised bumps, which can help to stabilize motions of the contact lens on the eye.

Abstract: Embodiments of this invention generally relate to systems and methods for wavefront interactive refraction display and more particularly to systems and methods for capturing and displaying eye wavefront interactive refraction data based on the desired refractive state of the patient's eye.

Abstract: Embodiments of this invention generally relate to systems and methods for wavefront interactive refraction display and more particularly to systems and methods for capturing and displaying eye wavefront interactive refraction data based on the desired refractive state of the patient's eye.

Abstract: A method for computing the visual performance of a human or animal subject based on objective measurements of visual refraction, including higher order aberrations, includes measuring wavefront aberrations of a subject ocular pupil, computing a point-spread-function from the measured pupil aberration, providing a test image, and convolving the test image with the point-spread-function. A simulated image may be produced from the convolution result of the test image with the point-spread-function. One or more specific terms of the point-spread-function may be subtracted therefrom prior to the convolving step to simulate an effect of a correcting means, such as spectacles lenses, contact lenses, or laser surgery. A best correction for a given subject may be determined by adjusting the terms that are subtracted to optimize the resultant image.

Abstract: A method for computing the visual performance of a human or animal subject based on objective measurements of visual refraction, including higher order aberrations, includes measuring wavefront aberrations of a subject ocular pupil, computing a point-spread-function from the measured pupil aberration, providing a test image, and convolving the test image with the point-spread-function. A simulated image may be produced from the convolution result of the test image with the point-spread-function. One or more specific terms of the point-spread-function may be subtracted therefrom prior to the convolving step to simulate an effect of a correcting means, such as spectacles lenses, contact lenses, or laser surgery. A best correction for a given subject may be determined by adjusting the terms that are subtracted to optimize the resultant image.