Systems and methods for performing laser cataract surgery, for using a biometric system to determine a material property of a structure of the eye, laser pulses in a laser shot pattern having different powers. A therapeutic laser, and laser delivery system having the capability to vary the power of the laser beam.

The present invention is directed to an automated ophthalmic cataract detection using an auto-refractometer. The present invention features a method for early identification of cataracts in a patient based on spot pattern intensity. In some embodiments, the method may comprise providing an auto-refractometer comprising a Shack-Hartman sensor, and an intensity detector. The method may further comprise providing a computing device, measuring, by the Shack-Hartman sensor, a spot pattern from an eye of the patient, measuring, by the intensity detector, an intensity homogeneity value of the spot pattern, and detecting, by the computing device, a cataract in the eye of the patient based on the intensity homogeneity value. The computing device may detect the cataract if the intensity homogeneity ratio is below a threshold value.

A method for classifying a cataract of an eye to determine parameters for pre-setting phaco-treatment instruments. OCT-based measurements are realized. The OCT-based scans are analysed using imaging technology and the local distribution of the cataract is determined. The cataract is classified on the basis of comparison values and the local distribution and classification of the cataract are used to identify parameters for pre-setting phaco-treatment instruments. Even though the proposed method for classifying the cataract of an eye is provided for determining parameters for pre-setting phaco-treatment instruments, it should equally also be used for determining parameters for pre-setting treatment instruments based on fs-lasers.

The invention relates to an artificial intelligence cataract analysis system, including a pattern recognition module for recognizing a photo mode of an input eye image, wherein the photo mode is divided according to the slit width of the illuminating slit during photographing of the eye image and/or whether a mydriatic treatment is carried out; a preliminary analysis module used for selecting a corresponding deep learning model for eye different photo modes, analyzing the characteristics of lens in the eye image by using a deep learning model, and further performing classification in combination with cause and severity degree of a disease. The invention can perform cataract intelligent analysis on eye images with different photo modes by using deep learning models, so that the analysis accuracy is improved.

An optical modulator is disposed in front of an eye along a direction in which light enters the eye to modulate the properties of light depending on the degree of opacity of the eye.

Aspects of the present disclosure provide improved techniques for imaging a subject's retina fundus. Some aspects relate to an imaging apparatus that may be substantially binocular shaped and/or may house multiple imaging devices configured to provide multiple corresponding modes of imaging the subject's retina fundus. Some aspects relate to techniques for imaging a subject's eye using white light, fluorescence, infrared (IR), optical coherence tomography (OCT), and/or other imaging modalities that may be employed by a single imaging apparatus. Some aspects relate to improvements in white light, fluorescence, IR, OCT, and/or other imaging technologies that may be employed alone or in combination with other techniques. Some aspects relate to multi-modal imaging techniques that enable determination of a subject's health status. Imaging apparatuses and techniques described herein provide medical grade retina fundus images and may be produced or conducted at low cost, thus increasing access to medical grade imaging.

An ophthalmic system of an embodiment includes a slit lamp microscope, three dimensional image constructing unit, rendering processor, display controller, report creating unit, and report output unit. The slit lamp microscope includes a front image acquiring unit that photographs an anterior eye segment to acquire a front image, and an image collecting unit that photographs the anterior eye segment with slit light to collect a plurality of images. The three dimensional image constructing unit constructs a three dimensional image based on the collected images. The rendering processor applies rendering to the three dimensional image to construct a rendered image. The display controller displays the front image and the rendered image on a display device. The report creating unit includes a user interface used for creating a report on information displayed. The report output unit outputs the report.

A system and method for ophthalmic surgery in which a light field camera is used to capture a digital image of the surgical field including the eye. The digital image is used to create image information and directional information, which is then used to from a three dimensional (3D) image with motion parallax.

The unobtrusive health-monitoring apparatus includes a camera, a controller, a data transmission port, and, optionally, a graphics processing unit (GPU) which executes nonlinear transformation algorithms. The camera may be inconspicuously disposed within a fixture in the room. The camera collects graphic data which may include still images or video of the user, or both. The GPU may execute the nonlinear transformation algorithms which may transform the graphic data into formats which cannot be recognized by humans. However, these formats preserve features that can be parsed by machine learning methods and used for health tracking purposes. The formats cannot be parsed by humans or be converted back to the original image or video by mathematical inversion or available computational methods. User privacy is thus preserved. The graphic data may be transmitted to a remote processor. The remote processor may perform algorithms which create a health status analyses.

Systems and methods for performing laser cataract surgery, for using a biometric system to determine a material property of a structure of the eye, laser pulses in a laser shot pattern having different powers. A therapeutic laser, and laser delivery system having the capability to vary the power of the laser beam.