A method of measuring working distance between a handheld digital device and eyes of a user, including capturing an image of at least eyes of a user via an onboard camera of the handheld digital device while the user is viewing a display of the handheld digital device and comparing an apparent angular size of a structure of the eyes or face of the user to a previously captured image of the structure of the eyes or the face that was taken in the presence of an object of known size. The method further includes calculating a working distance based on the apparent angular size of the structure of the eyes or the face; and saving at least the working distance to memory or reporting out the calculated working distance on the display. A handheld digital device programmed with an algorithm to perform the method is also included.

An optometry system for examining a subject eye of an examinee includes an optometry device for examining the subject eye, an imaging unit that captures an image of an examination room including the examinee and the optometry device, and a remote operation unit that includes a display unit which displays an operation screen for operating the optometry device and an captured image captured by the imaging unit, and a display control unit which controls display of the display unit to display the operation screen and the captured image on the display unit. The remote operation unit enables an examiner to observe the captured image displayed on the display unit to guide the examinee to an examination position.

The invention relates to a method for obtaining a visual field map of an observer, particularly a perimetry method, wherein a plurality of test locations in front of the observer is provided, at each test location of a subset of said plurality a respective perceived sensitivity threshold is measured, wherein at least one light signal is provided at the respective test location, and wherein it is monitored whether said observer observes said at least one light signal, and wherein for each test location a respective estimate of the perceived sensitivity threshold is derived from the previously measured perceived sensitivity thresholds of said subset, and wherein said light signal is provided at a light intensity value derived from the estimate of the perceived sensitivity threshold of said respective test location.

Methods and systems for displaying an overlay superimposed with an intraoperative image of surgical field in a medical ophthalmic procedure, such that the overlay appears at a desired depth within the image are provided. Methods and system for displaying an overlay superimposed with a stereoscopic intraoperative image pair of a surgical field in a medical ophthalmic procedure are provided.

Disclosed herein are system and method for testing and analysis of visual acuity and changes using an acuity model, the acuity model generated based on one or more acuity chart design parameters and candidate acuity parameters calculated using the acuity test data of the subject, the acuity model comprising a chart-specific psychometric function determined using a family of multiple-optotype psychometric functions, and wherein the acuity model is configurable to estimate possibility of obtaining the acuity test data of the subject.

An ophthalmologic information processing apparatus includes an analyzer, a storage unit, a region editing unit, and a display controller. The analyzer is configured to analyze data of a subject's eye optically acquired by projecting light onto the subject's eye, and to specify a lesion region in the subject's eye. The storage unit stores image data of the subject's eye. The region editing unit is configured to specify a changed region by changing the lesion region based on operation information corresponding to an operation content on an operating unit. The display controller is configured to cause an image of the subject's eye to be displayed on a display means based on the image data stored in the storage unit, and to cause a region corresponding to the changed region in the image of the subject's eye to be displayed so as to be identifiable.

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.

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.

A vision screening apparatus includes first and second display units, a processor, and instructions which are executable by the processor. The instructions, when executed by the processor, cause the apparatus to 1) carry out a photorefraction test of a subject, 2) estimate the subject's visual acuity based on the photorefraction test, 3) present the subject with a visual acuity check optotype for an interval of time, and 4) monitor for noncompliance with a visual acuity check protocol during at least part of the time interval.

The present disclosure relates generally to systems and methods for determining the refractive error of a patient, more particularly determining the patient's refractive error by using a computerized screen, and providing a prescription for the patient's preferred type of corrective lenses. In a general embodiment, the present disclosure provides a method for determining a corrective lenses prescription of a patient. The method includes, separately, for each eye of the patient, determining an astigmatism prescription for the patient via a computerized screen and without the use of a refractor lens assembly, including instructing the patient to move a known, fixed distance away from a computerized screen and testing for a cylinder component by sequentially presenting at least two cylinder diagrams to the patient via the computerized screen and enabling the patient to select at least one input per cylinder diagram, where those inputs correspond to cylinder measurements for determining the prescription.