In a general aspect, a structured optical beam with position-dependent polarizations is prepared for human observation. In some examples, an optics method includes processing an optical beam to produce a structured optical beam for human observation. Processing the optical beam includes receiving the optical beam from a laser source; attenuating the optical beam to an exposure irradiance level that is safe for direct viewing by a human eye; expanding the optical beam to a size configured for a field of view of the human eye; and preparing the optical beam with a position-dependent polarization profile. The structured optical beam, which has the position-dependent polarization profile, is directed towards an observation region for human observation.

Disclosed is an eye examination apparatus that can be used in professional settings. The eye examination apparatus has a body having a first eye opening and a second eye opening for a user to see into the eye examination apparatus using two eyes. The eye examination apparatus also has a first camera coupled to the body and positioned to acquire ophthalmic images through the first eye opening, and a second camera coupled to the body and positioned to acquire ophthalmic images through the second eye opening. The eye examination apparatus also has at least one display coupled to the body and positioned to be viewable through the first eye opening and the second eye opening.

A system for and a method of analyzing a corneal lesion using an anterior segment image according to the present invention. The system includes: an image acquisition unit configured to acquire an anterior segment image from the eyeball of a subject, a feature extractor configured to extract feature information on a position and a cause of a lesion in the cornea from the anterior segment image by applying a convolution layer to the anterior segment image through machine learning on the basis of a database in which clinical information pre-acquired by analyzing positions and causes of lesions in the corneas of subjects is stored; and a result determination unit configured to identify a position of the cornea from the anterior segment image using the feature information and to analyze and determine the position and the cause of the lesion in the cornea from the position of the cornea.

A diagnosis method includes: (a) checking tear film break-up time point and location by photographing cornea of the subject's eye and checking in time series at least one or more times of the tear film break-up time point; (b) checking corneal surface temperature by measuring the surface temperature of the cornea of the subject to be evaluated using a thermal imaging camera performed simultaneously with the photographing of the tear film of the eye; (c) mapping the tear film break-up time point and the change in the surface temperature of the cornea based on time; and (d) diagnosing type of dry eye syndrome based on any one of the tear film break-up time point and a location of surface temperature change time point of the corneal corresponding thereto, in mapping result in step (c).

A visual field testing apparatus may comprise a display; a line of sight detection unit that detects a line of sight of a user; a visual recognition determination unit that carries out determination as to whether or not the user has visually recognized the target; a target display unit that causes a gazing target and a measurement target to be sequentially displayed at the display; and a visual field testing unit that carries out visual field testing by causing visual recognition determination to be carried out with respect to the measurement target by the visual recognition determination unit as the gazing target and the measurement target are sequentially displayed by the target display unit. The visual field testing unit may have a central scotoma possessor testing mode in which the gazing target is displayed at the display 13 for the eye opposite the eye being tested.

Method and system for a non-invasive assessment of a relation between an intracranial pressure and an intraocular pressure. The method comprising the steps of recording a plurality of images of a retina part of an eye of a person, identifying at least one vein, determining a first plurality of characteristic vein diameters for the identified vein at a first vein location, determining whether the at least one vein has experienced a vein collapse during the first time period, and determining a relation between intraocular pressure and intracranial pressure during the first time period.

Embodiments of the invention are directed towards systems, methods and computer program products for providing improved eye tests. Such tests improve upon current eye tests, such as visual field tests, by incorporating virtual reality, software mediated guidance to the patient or practitioner such that more accurate results of the eye tests are obtained. Furthermore, through the use of one or more trained machine learning or predictive analytic systems, multiple signals obtained from sensors of a testing apparatus are evaluated to ensure that the eye test results are less error-prone and provide a more consistent evaluation of a user's vision status. As it will be appreciated, such error reduction and user guidance systems represent technological improvements in eye tests and utilize non-routine and non-conventional approaches to the improvement and reliability of eye tests.

A portable ocular screening device for tracking macular degeneration having a portable body including a graduated focusing mechanism including an inner chamber. The apparatus also includes a monocular eyepiece disposed on the graduated focusing mechanism and a display screen and a processor disposed within the inner chamber. Additionally, a method of monitoring macular degeneration includes providing a monocular screening device having a display screen disposed within a body of the screening device. The method further includes displaying an image and also providing a prompt in response to the display of the image. Subsequently, the method includes receiving a response via an input device, the response indicative of a user's perception of the image and evaluating the response to determine if the response indicates a user accurately perceived the first image.

System for integrally measuring clinical parameters of the visual function including a display unit (20) for representing a scene with a 3D object having variable characteristics such as virtual position and virtual volume of the 3D object within the scene; movement sensors (60) for detecting the user head position and distance from the display unit (20); tracking sensors (10) for detecting the user pupils position and pupillary distance; an interface (30) for the user interaction on the scene; processing means (42,44) for analysing the user response based on the data coming from sensors (60,10) and the interface (30), with the characteristics variations of the 3D object; and based on the estimation of a plurality of clinical parameters of the visual function related to binocularity, accommodation, ocular motility and visual perception.

System for integrally measuring clinical parameters of the visual function including a display unit (20) for representing a scene with a 3D object having variable characteristics such as virtual position and virtual volume of the 3D object within the scene; movement sensors (60) for detecting the user head position and distance from the display unit (20); tracking sensors (10) for detecting the user pupils position and pupillary distance; an interface (30) for the user interaction on the scene; processing means (42,44) for analysing the user response based on the data coming from sensors (60,10) and the interface (30), with the characteristics variations of the 3D object; and based on the estimation of a plurality of clinical parameters of the visual function related to binocularity, accommodation, ocular motility and visual perception.