A self-service kiosk for dispensing eyewear is disclosed. The kiosk includes a display for depicting available frame and lens options to customers. A user interface accepts eyewear order information from a customer including the customer's prescription information and frame selection. The kiosk also includes a lens manufacturing device that is wholly contained within the kiosk for manufacturing optical lenses in the prescription of the customer, which are adapted for the selected frame. Further, the kiosk includes a dispensing mechanism for dispensing from the kiosk the manufactured lenses, along with the customer selected frame.

The present invention is directed to a medical imaging device attachment with onboard sensor array and computational processing unit, which can be adapted to and reversibly attached to multiple models of binocular indirect ophthalmoscopes (BIOs), enabling simultaneous or time-delayed viewing and collaborative review of photographs or videos from an eye examination. The invention also claims a method for photographing and integrating information associated with the images, videos, or other data generated from the eye examination.

An ophthalmic surgical system includes a chassis comprising a laser source. The system includes a gantry coupled to the chassis. The position of the gantry is adjustable. The system includes a reference interface coupled to the gantry. The reference interface comprises an attachment interface at a distal portion of the reference interface, configured to couple to a patient interface for docking with an eye. The reference interface is configured to move to a first plate position proximal to the chassis and a second plate position distal from the chassis. The system further includes an optical head unit coupled to the reference interface. The optical head unit comprises a laser scanner and a beam splitter. The optical head unit is configured to move to a first head unit position near a proximal end of the reference interface and a second head unit position which is a lockable surgical position near a distal end of the reference interface.

Systems and methods for measuring an aberration of a patient's eye are disclosed. In one embodiment, a portable wavefront aberrometer comprises a housing having a proximal end and a distal end, wherein an aperture is formed in the housing at the proximal end; an activatable light source; a light detector; and optical components housed within the housing, the optical components comprising a microlens array, a plurality of lenses, one or more reflectors, and one or more beam splitters, wherein the optical components are arranged to define a first light path and a second light path.

Systems and methods for processing portable wavefront aberrometer data are disclosed. In one embodiment, a method includes receiving, from a mobile computing device, image data captured by a light detector of the mobile computing device, the image data corresponding to light reflected from an eye of a patient and passed through a portable wavefront aberrometer coupled to the mobile computing device. The method further includes processing the image data to compute a patient-specific parameter associated with the patient, and transmitting the patient-specific parameter to one or more of the mobile computing device or a computing device associated with a medical provider.

A module for use with a mobile device to measure an aberration of a patient's eye includes a light shaft having a proximal end and a distal end. The light shaft includes a first plurality of optical components arranged to direct light along a first light path to the proximal end, and a second plurality of optical components arranged to direct light along a second light path to the distal end. A connector at the distal end includes at least one guide component for positioning the distal end adjacent to a light detector and a light source of the mobile device. When the distal end is positioned adjacent to the light detector and the light source, the first plurality of optical components directs light along the first light path and the second plurality of optical components directs light along the second light path.

Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.

An ophthalmological measuring device including an ocular measuring unit including a front face provided with a frame encircling a translucent plate the size and curvature of which are suitable for covering the ocular field of said patient, a device for providing uniform backlighting of the translucent plate, located behind the translucent plate, at least one camera equipped with an objective placed in line with a hole in the translucent plate, one or more point light sources in apertures on the edges of the translucent plate, for illuminating the eyes of the patient, and means for fastening one or more additional ophthalmological measuring devices to the translucent plate.

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.

Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.