An optical modulator is disposed in front of an eye along a direction in which light enters the eye to modulate the properties of light depending on the degree of opacity of the eye.

Disclosed herein are methods and apparatus for making a determination about a cataract in an eye in ambient lighting conditions.

An ophthalmic system of an embodiment includes a slit lamp microscope, three dimensional image constructing unit, rendering processor, display controller, report creating unit, and report output unit. The slit lamp microscope includes a front image acquiring unit that photographs an anterior eye segment to acquire a front image, and an image collecting unit that photographs the anterior eye segment with slit light to collect a plurality of images. The three dimensional image constructing unit constructs a three dimensional image based on the collected images. The rendering processor applies rendering to the three dimensional image to construct a rendered image. The display controller displays the front image and the rendered image on a display device. The report creating unit includes a user interface used for creating a report on information displayed. The report output unit outputs the report.

A method for adjusting a display screen of an electronic device is disclosed. The method includes obtaining a pupil image of a user of the electronic device. An eye condition of the user is determined by analyzing the pupil image. The proportions between a red channel, a green channel, and a blue channel (RGB) of a display screen of the electronic device is adjusted according to the eye condition.

The present invention relates to a diagnosis assistance system for assisting diagnosis for a plurality of diseases based on a fundus image, the diagnosis assistance system including: a fundus image obtaining unit configured to obtain a fundus image; a first processing unit configured to, for the fundus image, obtain a first result related to a first finding of a patient using a first neural network model, a second processing unit configured to, for the fundus image, obtain a second result related to a second finding of the patient using a second neural network model, a third processing unit configured to determine, on the basis of the first result and the second result, diagnostic information on the patient, and a diagnostic information output unit configured to provide the determined diagnostic information to a user.

An optoelectronic apparatus and method is provided. The application of which provides a quantitative index of cataract opacity in the human eye to help the clinical practitioner screen patients for referral for cataract lens replacement surgery. The invention includes at least one adjustable intensity optical reference light source selected from the group consisting of a green light source and a red-light source. The invention also includes at least one fixed intensity cataract absorption light source, selected from the group consisting of a blue light source, an indigo light source, and a violet light source.

A light source that projects a fixation mark into the eve and an image sensor that receives light that has been reflected, diffracted or scattered from the cornea, lens and retina of the eve. A digital camera that captures HDR images of the eve predominantly only with activated fixing illumination. A control unit is designed to detect reflections, as well as diffracted and scattered light of the fixing mark of eve structures in the images transferred from the image sensor and to optimize, evaluate and display the captured HDR images of the eye on a display unit. The invention is provided for different ophthalmological devices, but, in principle, it can be applied to other technical fields in which additional information of the object to be imaged is generated and correspondingly evaluated via the capturing of HDR images.

A system (1) for treating and monitoring the condition of an eye (6) includes a light source, preferably a non-lasing LED (2), for irradiating the eye at a wavelength sufficient to reverse eye damage. The system also includes an excitation light source, preferably a non-lasing LED (4), for exciting fluorescence in the eye and a detector (22) for detecting fluorescence stimulated by the excitation LED (4). The system may also include a second non-lasing light source, preferably a non-lasing LED, for irradiating the eye; and a detector for detecting scatter of light from the eye. Methods for monitoring, diagnosis and treatment of eye conditions such as cataracts are also provided.

A method by which fundus photographs that are corrected for scattered light can be realised by using a digital fundus camera. The fundus is illuminated and a photograph of the fundus is realized. The photographed area is greater than the illuminated are. The scattered light intensity is determined and is used for correction. Measurement points for determining the scattered light intensity are defined in the non-illuminated area. Values of the scattered light intensity determined at the measurement points are averaged. Average-scattered light intensity thus determined is subtracted from the intensity values of the photograph to correct the photograph.

A method for classifying a cataract of an eye to determine parameters for pre-setting phaco-treatment instruments. OCT-based measurements are realized. The OCT-based scans are analysed using imaging technology and the local distribution of the cataract is determined. The cataract is classified on the basis of comparison values and the local distribution and classification of the cataract are used to identify parameters for pre-setting phaco-treatment instruments. Even though the proposed method for classifying the cataract of an eye is provided for determining parameters for pre-setting phaco-treatment instruments, it should equally also be used for determining parameters for pre-setting treatment instruments based on fs-lasers.