Described are various embodiments of a digital display device to render an image for viewing by a viewer having reduced visual acuity, the device comprising: a digital display medium for rendering the image based on pixel data related thereto; a complementary light field display portion; and a hardware processor operable on said pixel data for a selected portion of the image to be rendered via said complementary light field display portion so to produce vision-corrected pixel data corresponding thereto to at least partially address the viewer's reduced visual acuity when viewing said selected portion as rendered in accordance with said vision-corrected pixel data by said complementary light field display portion.

An apparatus for vision testing comprises a visual test unit (VTU) configured to receive a patients face and perform the vision test on the patient. The VTU includes an internal display configured to generate a light stimulus and a gaze sensor configured to track the eye of the patient. In one aspect, a plurality of VTUs form a system controllable by a common technician to concurrently administer vision tests on different patients. In another aspect, the gaze sensor comprises a camera configured to capture a video of the patients eye displayed to the technician. In another aspect, the VTU is configured to pause testing upon detection of an adverse testing condition such as excessive head tilt or a closed eye. In another aspect, the test display comprises an array of LEDs and a perforated opaque screen to provide sufficient luminance. In another aspect, the VTU comprises a head mounted portion with a pair of focusing lenses and a mirror arranged to transmit light from the test display to the eyepiece and from the eyepiece to the gaze sensor. In another aspect, the VTU includes a patient input device configured to receive input from the patient to signal observance of a light stimulus in the visual field around a fixation point, and the VTU is configured to monitor the patients gaze and pause the test upon detecting that the patients gaze has moved from the fixation point.

The present disclosure provides methods and an apparatus for imaging and analysing images of presumed protein deposits in the retina, retinal tissue or retinal structures and discloses methods differentiating or classifying these deposits and other optical signals from retinal structures into 1) whether they contain or do not contain classes, of proteins or protein deposits called amyloids or other proteins and/or protein deposits related to neurodegenerative eye and brain disease(s); 2) which type(s) of amyloid or other proteins or protein deposits they contain, as well as 3) whether the form and/or properties of the deposit are associated with a class of diseases or with one or another specific condition(s) (or disease(s)); whether or not this is a disease or class of disease associated with the retina or more generally with the nervous system, including the brain or 4) classified as associated with one or another level of severity of condition(s), or disease(s).

An ophthalmic apparatus includes an objective lens arranged to be passed through by first and second measurement optical axes that are positioned at a distance from each other. An OCT optical system performs OCT on a subject's left eye arranged on the first measurement optical axis or a subject's right eye arranged on the second measurement optical axis. An optical axis adjusting unit adjusts an optical axis of the OCT optical system under control of a controller so that the optical axis approximately coincides with any one of the first measurement optical axis and the second measurement optical axis. An intraocular parameter calculator calculates an intraocular parameter of the subject's left or right eye based on a detection result of interference light acquired in a state where the optical axis of the OCT optical system approximately coincides with the first or second measurement optical axis.

An ophthalmic apparatus includes an objective lens, and an OCT optical system optical system is configured to project a measurement light onto a subject's left or right eye via an objective lens, and to detect interference light between returning light of the measurement light a reference light having traveled through a reference optical path. An optical axis switching member switches an optical axis of the OCT optical system to approximately coincide with a first or second measurement optical axis. A controller is configured to control the optical axis switching member. An intraocular parameter calculator calculates an intraocular parameter of the subject's left or right eye based on a detection result of the interference light acquired in a state where the optical axis of the OCT optical system is switched so that the optical axis of the OCT optical system approximately coincides with the first or second measurement optical axis.

A vision screening device displays visual stimuli and captures image(s) of the eye while the visual stimuli is changing over a period of time. The vision screening device uses the images to determine and monitor refractive error, ambient light level(s), pupil size, and gaze angle as the visual stimuli changes over the time period. Based on the refractive error, a determination of hyperopia and/or presbyopia is made. Based on the gaze angle and/or the pupil size, a confidence metric is determined. Based on the confidence metric and/or the determination, a recommendation for the patient is generated and displayed.

An ophthalmic system for analyzing data for a procedure includes a computer. The computer includes a memory, an interface device, and one or more processors that execute software. The memory stores procedure information for the procedure, and the interface device receives input and provide output. The one or more processors identify information from the procedure information that is crucial for the procedure, determine one or more recommendations to address the crucial information, and provide the crucial information and the one or more recommendations via the interface device.

Techniques for lens design and evaluation involve configuring a rule comprising one of a “with the rule” and “against the rule”, configuring a cylinder comprising one of a “positive cylinder” and a “negative cylinder”, and utilizing the rule and the cylinder in one or both of a residual astigmatism metric algorithm and spherical equivalent metric algorithm to generate a discrete metric values each corresponding to ranges of residual refractive error.

A method for non-invasive assessment of photoreceptor function in a mammalian subject comprises exposing a subject's eye to a visible light stimulus to initiate an intrinsic reflectance response in one or a population of photoreceptors and capturing multiple images of photoreceptor's intrinsic reflectance response to the stimulus. Patterns of variability in the intrinsic reflectance response of a single photoreceptor or population of photoreceptors are useful in diagnosis and treatment monitoring of an ocular condition, disease, disorder or a response to treatment for said ocular condition, disease or disorder.

A processor of an ophthalmologic image processing device acquires an ophthalmologic image photographed by an ophthalmologic image photographing device. The processor inputs the ophthalmologic image into a mathematical model trained by a machine learning algorithm to acquire a result of an analysis relating to at least one of a specific disease and a specific structure of a subject eye. The processor acquires information of a distribution of weight relating to an analysis by a mathematical model, as supplemental distribution information, for which an image area of the ophthalmologic image input into the mathematical model is set as a variable. The processor sets a part of the image area of the ophthalmologic image, as an attention area, based on the supplemental distribution information. The processor acquires an image of a tissue including the attention area among a tissue of the subject eye and displays the image on a display unit.