Abstract: Provided herein is a computer program product comprising a non-transitory computer-readable medium storing an algorithm to optimize a wavefront guided correction for a custom ophthalmic lens. The correction is determined from inputs of quantified wavefront error and registration uncertainty and a metric predictive of a visual performance task of interest and provides a level of visual performance within a user-defined performance range. Also provided is a method for optimizing a wavefront guided correction for a custom ophthalmic lens via inputting residual wavefront error values and quantified translational and rotational movements into an algorithm configured to determine the optimal wavefront guided correction therefrom and a custom ophthalmic lens comprising the correction.

Abstract: Provided herein are methods of manufacturing an optical lens using image simulation and/or predictive metrics to determine optical aberrations and an iterative algorithm to correct the aberrations to create a custom-designed surface for the optical lens and to implement the manufacture of the custom-designed surface onto the lens. Also, a computer program product storing the method is provided. In addition, there are provided a customized optical lens designed by the method and a method of correcting optical aberration to improve visual using the customized optical lens. Further provided is a method of manufacturing a custom lens effective to mimic a subset of optical aberrations.

Abstract: Provided herein is a computer program product comprising a non-transitory computer-readable medium storing an algorithm to optimize a wavefront guided correction for a custom ophthalmic lens. The correction is determined from inputs of quantified wavefront error and registration uncertainty and a metric predictive of a visual performance task of interest and provides a level of visual performance within a user-defined performance range. Also provided is a method for optimizing a wavefront guided correction for a custom ophthalmic lens via inputting residual wavefront error values and quantified translational and rotational movements into an algorithm configured to determine the optimal wavefront guided correction therefrom and a custom ophthalmic lens comprising the correction.

Abstract: Provided herein are methods of manufacturing an optical lens using image simulation and/or predictive metrics to determine optical aberrations and an iterative algorithm to correct the aberrations to create a custom-designed surface for the optical lens and to implement the manufacture of the custom-designed surface onto the lens. Also, a computer program product storing the method is provided. In addition, there are provided a customized optical lens designed by the method and a method of correcting optical aberration to improve visual using the customized optical lens. Further provided is a method of manufacturing a custom lens effective to mimic a subset of optical aberrations.

Abstract: A method for classifying a patient's eye includes the steps of: obtaining normal and abnormal wavefront aberration data from normal and abnormal eyes; fitting the normal and abnormal eye wavefront aberration data with a basis function to decompose the normal and abnormal eye wavefront aberration data into normal and abnormal eye mathematical components; examining the normal and abnormal eye mathematical components to develop mathematical optical filters capable of discriminating between normal and abnormal eyes, using statistical methods to define a probability distribution; obtaining wavefront aberration data from the patient's eye; fitting the patient's wavefront aberration data with a basis function to decompose the patient's wavefront aberration data into the patient's set of mathematical components; examining the patient's set of mathematical components using the mathematical optical filters to generate a patient filter value; and classifying the patient's eye by comparing the patient filter value wit

Abstract: A method for classifying a patient's eye includes the steps of: obtaining normal and abnormal wavefront aberration data from normal and abnormal eyes; fitting the normal and abnormal eye wavefront aberration data with a basis function to decompose the normal and abnormal eye wavefront aberration data into normal and abnormal eye mathematical components; examining the normal and abnormal eye mathematical components to develop mathematical optical filters capable of discriminating between normal and abnormal eyes, using statistical methods to define a probability distribution; obtaining wavefront aberration data from the patient's eye; fitting the patient's wavefront aberration data with a basis function to decompose the patient's wavefront aberration data into the patient's set of mathematical components; examining the patient's set of mathematical components using the mathematical optical filters to generate a patient filter value; and classifying the patient's eye by comparing the patient filter value with t

Abstract: A biomedical "tab" type of electrode suited for use with male and female connectors of the type that are adapted to snap together is provided. The female connector is located at one end of a lead wire. A male snap connector is secured to the lead wire by means of a flexible tether. The electrode includes an extension or tab having an opening therein. The tether is mounted on the lead wire and is preferably adapted to slide along its length. During use, the male snap connector can be moved into proximity of the female connector and aligned with it on opposite sides of the tab portion of the electrode and then brought into contact and connected to each other through the opening in the tab to establish both a mechanical and an electrical connection with the tab of the electrode.