A method to optimize learning based upon ocular information of a subject includes providing a video camera for recording a close-up view of a subject's eye. A first electronic display shows a plurality of educational subject matter to the subject. A second electronic display shows an output to an instructor. Changes in ocular signals of the subject are processed through the use optimized algorithms. A cognitive state model determines a low to a high cognitive load experienced by the subject. The cognitive state model is evaluated based on the changes in the ocular signals for determining a probability of the low to the high cognitive load experienced by the subject. The probability of the low to the high cognitive load experienced by the subject is displayed to the instructor.

A medical imaging binocular indirect ophthalmoscope with computational processing unit, enabling simultaneous or time-delayed viewing and collaborative review of photographs or videos from an eye examination. The invention also claims a method for photographing and integrating information associated with the images, videos, or other data generated from the eye examination.

Systems and methods are provided for cytometric measurement of blood cells traversing microvasculature single-file in the eye of a subject. A miniature imaging device, having cellular resolution, records image data that can be rendered into a microcirculation time sequence and analyzed to provide useful biological information.

Disclosed are methods and devices useful in the field of image processing and display Disclosed are also methods and devices useful in the field of ophthalmology and, in some particular embodiments, useful for the non-invasive treatment and/or prevention of refractive errors.

The present disclosure relates to a novel pupilometer and method of using the pupilometer to record and analyze direct and consensual reflex of pupils to identify brain lesion locations of a patient with brain injuries.

A system includes a controller with at least one processor and at least one non-transitory, tangible memory on which instructions are recorded for executing a method for obtaining a profile of a lens capsule of an eye. The profile is represented by respective central surfaces and respective equatorial surfaces separated at respective transition points. The controller is configured to obtain imaging data for a portion of the lens capsule visible through a pupil of the eye. The imaging data is transformed to an adjusted frame of reference and fitted to the respective central surfaces in a predefined central region of the lens capsule. The profile is obtained based on a set of fitting parameters for the respective central and equatorial surfaces. The respective central surfaces and respective equatorial surfaces may be represented as elliptical cones and skewed parabolas, respectively.

An ophthalmic surgical system comprises: a camera optically coupled to a surgical microscope; a virtual reality (VR) headset worn by a surgeon; and a VR data processing unit configured to communicate with the surgical microscope, the VR headset, and an ophthalmic surgical apparatus, wherein the VR data processing unit is configured to: project a real time video screen of video received from the camera into the VR headset; project a patient information screen into the VR headset to provide the patient information directly to the surgeon during ophthalmic surgery; project a surgical apparatus information screen into the VR headset; project a surgical apparatus input control screen into the VR headset to provide the surgeon with direct control over the surgical apparatus; and control which ones of the screens are visible in the VR headset based inputs indicating head movements of the surgeon as detected by the VR headset.

An apparatus and method of measuring oxygenation of tissue in a non-invasive manner are provided. The apparatus comprises a light source configured to emit a light pattern to be projected onto the tissue, in which the light pattern comprises superimposed patterns having different patterns. A detector captures an image of a reflected light pattern which is reflected from the tissue as a result of the projected light pattern. A processor coupled to the detector can be configured to perform a transform on the image of the reflected light pattern and determine oxygenation of each of a plurality of layers of the tissue in response to the transform of the image. Polarimetry can be used in determining a change in polarization angle of light beam. Tissue oxygenation can be determined at a plurality of layers from one snapshot, for example oxygenation of retinal layers.

An apparatus for screening, treatment, monitoring and/or assessment of visual impairments, comprising electronic means for simultaneously applying two separate and unrelated processing methods to images presented to a patient's eyes; a first processing method being applied to an non-amblyopic eye (the eye with the better vision), and a second processing method being applied to an amblyopic eye (the weaker eye, or the impaired eye). A method for screening, treatment, monitoring and/or assessment of visual impairments, comprising: a. defining a starting point, wherein differences between a patient's eyes are completely, or as closely as practically possible, corrected, to enable two identical or similar images to be transferred to the brain from the patient's eyes; b. defining an ending point, wherein there is no correction applied to any of the patient's eyes; c. defining a screening, treatment, monitoring and/or assessment plan, for initially applying correction to images according to the starting point, then gradually reducing the correction, at a controlled and predetermined rate, towards the ending point; and d. applying the plan to images presented to the patient's eyes, while monitoring patient's performance.

Detecting position information related to a face, and more particularly to an eyeball in a face, using a detection and ranging system, such as a Radio Detection And Ranging (“RADAR”) system, or a Light Detection And Ranging (“LIDAR”) system. The position information may include a location of the eyeball, translational motion information related to the eyeball (e.g., displacement, velocity, acceleration, jerk, etc.), rotational motion information related to the eyeball (e.g., rotational displacement, rotational velocity, rotational acceleration, etc.) as the eyeball rotates within its socket.