An eye image analysis system based on an additional floodlight projection device and an ophthalmic slit lamp, comprising an ophthalmic slit lamp microscope detector, the additional floodlight projection device, an image acquisition device, and an image analysis device. The additional floodlight projection device is detachably and rotatably connected to the ophthalmic slit lamp microscope detector and used for forming a floodlight map graph with special reticulate patterns on the cornea to be detected. The image acquisition device is used for performing, optical image collection on the floodlight map graph to form an examination data packet and sending the examination data packet to the image analysis device, and the image analysis device is used for performing processed processing, digitized filtering comparison and measurement, and pathological analysis on the obtained examination data packet to obtain a pathological examination result.

This is a system and method for determining a patient's prescription for corrective lenses using predictive calculations and corrected-eyesight simulation. Together, these technologies act as a digital substitute for phoropter testing, thus reducing the cost, time, and human error associated with an eye exam. Based on age, gender, autorefractor readings, and environmental factors, a patient specific model is calculated and fed into a visual simulation tool. From this simulation, an eye care professional is able to determine the patient's corrective lens prescription.

A system for guiding an ophthalmic procedure is disclosed. The system includes a housing assembly with a head unit configured to be at least partially directed towards a target site in an eye. An optical coherence tomography (OCT) module and stereoscopic visualization camera are at least partially located in the head unit and configured to obtain a first set and a second set of volumetric data, respectively. A controller is configured to register the first set and second set of volumetric data to create a third set of registered volumetric data. The third set and second set of registered volumetric data are rendered, via a volumetric render module, to a first and second region. The first region and the second region are overlaid to obtain a shared composite view of the target site. The controller is configured to extract structural features and/or enable visualization of the target site.

An imaging system includes a housing assembly having a head unit configured to be at least partially directed towards a target site. An optical coherence tomography (OCT) module and a visualization module are located in the housing assembly and configured to respectively obtain OCT data and visualization data of the target site. The system includes a controller configured to generate a scanning pattern for a region of calibration selected in a calibration target. OCT data of the region of calibration is synchronously acquired. The controller is configured to obtain a projected two-dimensional OCT image of the region of calibration based on the OCT data, as an inverse mean-intensity projection. The controller is configured to register the projected two-dimensional OCT image to a corresponding view extracted from the visualization data, via a cascaded image registration process having a coarse registration stage and a fine registration stage.

The proposed technology includes pathology apparatuses and systems that allow transmission of pathological content over the web in real-time alongside face-to-face audio-visual communication between the various parties. The digital output of the camera will be in a format that is compatible with direct transmission over the web. This allows a person(s) at the remote site to see the microscopic imagery as if the remote examiner(s) were on site in the presence of the pathology specimen and simultaneously video-chat with the operator of the microscope to provide tele-consultation. The features also facilitate collaboration between several parties, by enhancing the audio-visual communication between parties with the actual microscopic imagery in real time.

A virtual eye test can be performed to assess binocular vision in photorealistic virtual reality (VR) environments. The test can be conducted using an electronic device with a head-mounted display (HMD) and a camera. The device can generate and render a VR user interface in a photorealistic virtual environment. The device can simulate real-world scenarios and continuously track gaze direction, convergence, and divergence in response to one or more visual stimuli. The system can then assess depth perception, stereopsis, and eye coordination for binocular vision based on these measurements.

A digital ocular system for use with image sensors and an ophthalmic microscope includes a housing that connects to the microscope and defines a housing cavity, a first lens having a first optical axis, and a second lens having a second optical axis parallel to the first optical axis. A first micro-display is positioned within the housing cavity to present a first image from the image sensors. The first micro-display has a first center axis arranged at a predetermined angle with respect to the first optical axis. A second micro-display presents a second image from the image sensors. The second micro-display includes a second center axis arranged at the predetermined angle with respect to the second optical axis, such that the first and second micro-displays are horizontally decentered relative to the first and second optical axes, respectively.

Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.