A method of laser eye surgery including linking retinal vessel architecture to corneal topography. This enables registration of the steep axis of the cornea in order to orient a toric intraocular lens, and/or to place astigmatic keratotomy incisions. First, a detailed pre-operative retinal image of the vasculature of the retina is obtained. In addition, a pre-operative image of the topography of the eye is obtained. The retinal image is then correlated or superimposed on the topography image to provide a reference. After the patient lies down under the laser eye surgery system, and during the surgery, the retinal vasculature is monitored which provides a reference to the surgery system about the topography of the eye. This process enables registration of the steep axis of the cornea in order to orient a toric intraocular lens and/or to place astigmatic keratotomy incisions.

A system or method for measuring human ocular performance can be implemented using an eye sensor, a head orientation sensor, an electronic circuit and a display that presents one of virtual reality information, augmented reality information, or synthetic computer-generated 3-dimensional information. The device is configured for measuring saccades, pursuit tracking during visual pursuit, nystagmus, vergence, eyelid closure, or focused position of the eyes. The eye sensor comprises a video camera that senses vertical movement and horizontal movement of at least one eye. The head orientation sensor senses pitch and yaw in the range of frequencies between 0.01 Hertz and 15 Hertz. The system uses a Fourier transform to generate a vertical gain signal and a horizontal gain signal.

A system or method for measuring human ocular performance can be implemented using an eye sensor, a head orientation sensor, an electronic circuit and a display that presents one of virtual reality information, augmented reality information, or synthetic computer-generated 3-dimensional information. The device is configured for measuring saccades, pursuit tracking during visual pursuit, nystagmus, vergence, eyelid closure, or focused position of the eyes. The eye sensor comprises a video camera that senses vertical movement and horizontal movement of at least one eye. The head orientation sensor senses pitch and yaw in the range of frequencies between 0.01 Hertz and 15 Hertz. The system uses a Fourier transform to generate a vertical gain signal and a horizontal gain signal.

The present invention provides compounds and methods for the treatment of LFA-1 mediated diseases. In particular, LFA-1 antagonists are described herein and these antagonists are used in the treatment of LFA-1 mediated diseases. One aspect of the invention provides for diagnosis of an LFA-1 mediated disease and administration of a LFA-1 antagonist, after the patient is diagnosed with a LFA-1 mediated disease. In some embodiments, the LFA-1 mediated diseases treated are dry eye disorders. Also provided herein are methods for identifying compounds which are LFA-1 antagonists.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Optical sensors, systems and methods of use thereof are provided. Aspects of the subject systems include a sensor having a sensing surface and a configuration that directs a first optical signal to interact with the sensing surface at a first incident angle, and directs a second optical signal to interact with the sensing surface at a second incident angle. The subject sensors, systems and methods find use, e.g., in the diagnosis of dry eye disease.

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.

A computer-implemented method of searching for a region indicative of a pathology in an image of a portion of an eye acquired by an ocular imaging system, the method comprising: receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus.