A method of generating three dimensional shapes for a cornea and lens of an eye, the method including illuminating an eye with multiple sections of light and obtaining multiple sectional images of said eye based on said multiple sections of light. For each one of the obtained multiple sectional images, the following processes are performed: a) automatically identifying arcs, in two-dimensional space, corresponding to anterior and posterior corneal and lens surfaces of the eye by image analysis and curve fitting of the one of the obtained multiple sectional images; and b) determining an intersection of lines ray traced back from the identified arcs in two-dimensional space with a known position of a section of space containing the section of light that generated the one of the obtained multiple sectional images, wherein the determined intersection defines a three-dimensional arc curve. The method further including reconstructing three-dimensional shapes of the anterior and posterior cornea surfaces and the anterior and posterior lens surfaces based on fitting the three-dimensional arc curve to a three-dimensional shape.

A target surface in an eye is located using a dual aiming beam apparatus that transmits a first aiming beam of light and a second aiming beam of light. An optics subsystem receives a laser beam from a laser source, the first aiming beam of light, and the second aiming beam of light, and directs the beams of light to be incident with the target surface and aligns the beams of light such that they intersect at a point corresponding to a focus of the laser beam. An imaging apparatus captures an image of the target surface including a first spot corresponding to the first aiming beam of light and a second spot corresponding to a second aiming beam of light. A separation between the spots indicates that the focus is away from the target surface, while overlapping spots indicate the focus is at or on the target surface.

Systems and methods for assessing ocular cyclotorsion are provided utilizing an inter-aural axis location assembly, with a first gyroscope connected to the inter-aural axis location assembly, and a camera assembly for retinal imaging, with a second gyroscope connected to the camera assembly. A processor is utilized to calculate angles between the disc-foveal line, skull-horizontal axis, and earth-horizontal axis for use in determining ocular cyclotorsion, and the determinations or calculations may be used to generate a diagnostic report that may be provided via an output device.

A device for illuminating a posterior segment of an eye may include multiple channels. Each of the channels may include multiple illumination paths such as a first region illumination path, and a second region illumination path. The first region illumination path and the second region illumination path may be illuminated at different times such that a first region and a second region may be imaged without interference from a non-illuminated illumination path.

An apparatus for diagnosis of ocular surface disease includes an electronic tablet with an electronic display and a forward-facing camera. The camera may be placed above the screen when the device is held in landscape mode. A software app executing on the electronic tablet displays a test screen to a patient, the test screen comprising a test image and an alignment indicator. Once alignment is achieved, the patient may read the test image for a period of time, during which blink quality and quantity are tabulated. A video recorded during the test may be reviewed by a physician to confirm or modify blink quality and quantity counts during the test to diagnose ocular surface disease.

Performance of enhanced visually directed procedures under low ambient lighting conditions. A computer readable medium storing a set of computer instructions for performing an enhanced visually directed procedure under low ambient visible light on a patient's eye. The computer instructions include: acquiring at least one real-time high resolution video signal representing at least one view of the eye in at least one wavelength of light outside of the wavelengths of visible light. The computer instructions include converting the at least one view is converted corresponding to the at least one real-time high resolution video signal at the at least one wavelength of light outside of the wavelengths of visible light into at least one wavelength of visible light. The at least one high resolution photosensor is acquired after light conditions are low enough such that a pupil of the eye does not constrict substantially from its maximum pupillary diameter.

A method and system for acquiring images of a target area by acquiring (S1) a first image of the target area with a first image sensor; acquiring (S2) a second image of said target with a second image sensor; and preprocessing the first and second images by 1) performing a spatial 5 transform (S3) at least one of said first and second images in order to compensate for different image acquisition angles, and 2) at least partly removing (S4) undesired reflexes from the first and second images to form first and second reflex reduced images. With the present invention, it is still possible to eliminate or reduce 10 unwanted reflexes, even though the viewing angles of the two frames are different.

A reflectometry instrument includes a light source for emitting an illumination beam that illuminates the macula. A portion of the illumination beam is reflected from the macula and forms a detection beam. The detection beam is indicative of macular pigment in the macula. The instrument also includes a first mirror for reflecting the illumination beam toward the macula and for reflecting the detection beam from the macula. The instrument is configured so that the illumination beam and the detection beam remain separated between the macula and the first mirror.

A computer-implemented method for recognizing deviations from plan parameters during an ophthalmological operation is described, the method including: providing video sequences of cataract operations, the video sequences having been recorded by means of an image recording apparatus, training a machine learning system using the video sequences provided and also, in each case, a planned refractive power of an intraocular lens to be inserted during a cataract operation and a target refraction value following the cataract operation as training input data and associated prediction results in the form of an actual refraction value following the cataract operation to form a machine learning model for predicting the actual refraction value following the cataract operation, and persistently storing parameter values of the trained machine learning system.

A prism array light redistribution apparatus for an eye imaging system including light transmitting fibers, light receiving fibers, and a micro prism array optically coupled to bridge the light transmitting fibers and the light receiving fibers, configured to receive light having a bell-shaped angular distribution from the light transmitting fibers and refract light emitted by the light transmitting fibers to enter the light receiving fibers