A macular health measurement and storage system comprises a plurality of macular-pigment measurement machine for measuring macular pigment density in humans, a plurality of computers each of which is associated with a corresponding one the macular-pigment measuring machines, and a central host. The plurality of macular-pigment measurement machines include a device for receiving macular pigment data from a patient, at least one data transfer port, and at least one processor that enables the transfer of the macular pigment data from the transfer port. The plurality of computers include a first port coupled to the data transfer port of the corresponding macular-pigment measurement machine for receiving the macular pigment data. Each of the computers includes a second port for transferring patient data. The central host is coupled to the second ports on each of the plurality of computers. The central host includes a storage device for storing the patient data.

The present invention is directed to a method and means for enabling contact lens wearers to photograph their own eyes using an electronic device with a camera such as an iPhone with a macro lens, for example, Olloclip® Macro Pro Lens Set 7× lens, and a custom three-dimensional printed eyecup attachment. The eyecup attachment is designed to position the camera at a suitable and reproducible distance from the eye to ensure that the system can focus appropriately on the lens details. The eyecup attachment also serves to block stray light and diffuse the ambient lighting. In addition, the eyecup attachment ensures that the camera is held in the correct orientation while photos are being captured. The capture images are analyzed using image processing software to determine the angel of rotation of the contact lens.

A computer-implemented method of searching for a region indicative of a pathology in an image of a portion of an eye acquired by an ocular imaging system, the method comprising: receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus.

An ophthalmological image processing apparatus acquires a plurality of images of a subject eye photographed in a scanning-type imaging optical system, sets any one of the plurality of images as a template, sets corresponding points or corresponding regions between an image of the subject eye and the template at a plurality of positions of each of the image of the subject eye and the template, calculates a movement amount of each of the corresponding points or each of the corresponding regions, and corrects a distortion of the image of the subject eye with respect to the template based on the movement amount of each of the corresponding points or each of the corresponding regions.

Disclosed embodiments may include a device, system and method for providing a low cost device that can measure refractive errors very accurately via attachment to a smart phone. A disclosed device may use ambient light or a light source in simulating the cross cylinder procedure that optometrists use by utilizing the inverse Shack-Hartman technique. The optical device may include an array of lenslets and pinholes that will force the user to effectively focus at different depths. Using an optical device, in conjunction with a smart phone, the user first changes the angle of the axis until he/she sees a cross pattern (the vertical and horizontal lines are equally spaced). The user adjusts the display, typically using the controls on the smartphone, to make the lines come together and overlap, which corresponds to bringing the view into sharp focus, thus determining the appropriate optical prescription for the user.

Embodiments of the invention include a method to determine a binocular alignment, the method comprising: measuring a disassociated phoria of a first eye and a second eye of a patient at an apparent distance; and determining an accommodative convergence of the first eye and the second eye at the apparent distance using the measured disassociated phoria. In other embodiments, a system to determine a binocular alignment comprises a stereo display, for a projection of images for a first eye and a second eye; an accommodation optics, to modify the projection of the images according to an apparent distance; an eye tracker, to track an orientation of the first eye and the second eye; and a computer, coupled to the stereo display, the accommodation optics and the eye tracker, to manage a determination of the binocular alignment.

An ophthalmologic apparatus includes: an objective lens that faces a subject's eye; a first illumination optical system that irradiates a cornea of the subject's eye with illumination light; and a corneal measurement optical system having an imaging element that takes an image of a corneal reflection light, which is a reflection of the illumination light, through the objective lens, and outputs an imaging signal. The corneal measurement optical system includes a first mirror arranged near the objective lens and a second mirror arranged near the imaging element. The first and second mirrors and are configured such that the corneal reflection light that enters and is reflected from the first mirror, and then enters and is reflected from the second mirror exits toward an incident side from which the corneal reflection light enters a reflection surface of the first mirror.

The present disclosure relates to a method and a system for detecting a neurological disease and an eye gaze-pattern abnormality related to the neurological disease of a user. The method comprises displaying stimulus videos on a screen of an electronic device and simultaneously filming with a camera of the electronic device to generate a video of the user's face for each one of the stimulus videos, each one of the stimulus videos corresponding to a task. The method further comprises providing a machine learning model for gaze predictions, generating the gaze predictions for each video frame of the recorded video, and determining features for each task to detect the neurological disease using a pre-trained machine learning model.

Systems and methods for assessing the visual acuity of person using a computerized consumer device are described. The approach involves determining a separation distance between a human user and the consumer device based on an image size of a physical feature of the user, instructing the user to adjust the separation between the user and the consumer device until a predetermined separation distance range is achieved, presenting a visual acuity test to the user including displaying predetermined optotypes for identification by the user, recording the user's spoken identifications of the predetermined optotypes and providing real-time feedback to the user of detection of the spoken indications by the consumer device, carrying out voice recognition on the spoken identifications to generate corresponding converted text, comparing recognized words of the converted text to permissible words corresponding to the predetermined optotypes, determining a score based on the comparison, and determining whether the person passed the visual acuity test.

A system for determining refraction features of both first and second eyes of a subject including a light field display device, a system of localization of the positions of the first and second eyes of the subject, the light field display device generating a first light field directed selectively toward the first eye, and, respectively, a second light field directed selectively toward the second eye, control circuitry that adjusts the first light field as a function of at least a first refraction parameter associated with at least a first optical aberration for the first eye and the control circuitry adjusting said second light field as a function of at least a second refraction parameter associated with at least a second optical aberration for the second eye.