Ergonomic refraction station and procedure of use consists of a phoropter helmet, chair, work table, monitor and electronic circuit, which seeks to perform a refraction test in the conditions most similar to the usual work environment of the patient, for this it consists of a lightweight phoropter helmet, which adjusts to the size of the user, made of transparent material to allow contact with its surroundings and execute the usual movements of head, neck, eyes and working distance, parameters that are captured by optical, distance and inclination sensors, located on the phoropter helmet or on the flexible and adjustable table with “swan neck” arms.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Optical sensors, systems and methods of use thereof are provided. Aspects of the subject systems include a sensor having a sensing surface and a configuration that directs a first optical signal to interact with the sensing surface at a first incident angle, and directs a second optical signal to interact with the sensing surface at a second incident angle. The subject sensors, systems and methods find use, e.g., in the diagnosis of dry eye disease.

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 ophthalmic apparatus of an exemplary aspect performs the first and second OCT scans on a subject's eye. The first OCT scan is performed on the first region including the first site of the subject's eye, and the second OCT scan is performed on the second region including the second site. The ophthalmic apparatus acquires the first deviation information of the subject's eye prior to the first OCT scan and performs alignment, and also acquires the second deviation information of the subject's eye prior to the second OCT scan and performs alignment. The ophthalmic apparatus calculates the distance between the first site and the second site based on the first data acquired through the first OCT scan and second data acquired through the second OCT scan.

Provided herein are methods of detecting a ophthalmologic genetic disease in a subject that include matching properties of captured images and/or videos with properties of an ocular pathology model that is trained on a plurality of reference images and/or videos of ocular cells of reference subjects, which properties of the ocular pathology model are indicative of the pathology. Related systems and computer program products are also provided.

An ophthalmic system for examining a subject eye of an examinee includes a plurality of examination units, a robot mechanism, and a controller. The plurality of examination units have housings different from each other, perform examinations different from each other, and include at least a first examination unit and a second examination unit. The robot mechanism has a holding unit that holds and releases either the first examination unit or the second examination unit, and a moving unit that is connected to the holding unit and moves three-dimensionally. A controller controls driving of the robot mechanism to adjust a relative positional relationship between the subject eye and the first examination unit or the second examination unit held by the holding unit. The first examination unit or the second examination unit is replaced to be held by the holding unit for performing a different examination on the subject eye.

Image processing performed by a processor and including acquiring a two-dimensional fundus image, acquiring a second point on an eyeball model corresponding to at least one first point of the two-dimensional fundus image, and creating data to represent a process to move the first point to the second point.

The present invention relates to a method and a device for determining structural progression of an eye disease using an ocular image. According to an embodiment of the present invention, a device for determining structural progression of an eye disease includes a processor, and a memory electrically connected to the processor, wherein, when the processor is executed, the memory stores instructions for obtaining a first-n.sup.th ocular image, which is an n.sup.th first ocular image for a user (where n is a natural number), obtaining a second-n.sup.th ocular image, which is an n.sup.th second ocular image for the user, combining the first-n.sup.th ocular image and the second-n.sup.th ocular image according to a preset method to generate an n.sup.th combined image, and generating an n.sup.th eye disease image for the user by using the n.sup.th combined image and a preset prone area image.

Systems and methods are provided for improving overall vision in patients suffering from a loss of vision in a portion of the retina (e.g., loss of central vision) by providing a piggyback lens which in combination with the cornea and an existing lens in the patient's eye redirects and/or focuses light incident on the eye at oblique angles onto a peripheral retinal location. The piggyback lens can include a redirection element (e.g., a prism, a diffractive element, or an optical component with a decentered GRIN profile) configured to direct incident light along a deflected optical axis and to focus an image at a location on the peripheral retina. Optical properties of the piggyback lens can be configured to improve or reduce peripheral errors at the location on the peripheral retina. One or more surfaces of the piggyback lens can be a toric surface, a higher order aspheric surface, an aspheric Zernike surface or a Biconic Zernike surface to reduce optical errors in an image produced at a peripheral retinal location by light incident at oblique angles.