The present invention relates to a method and a device for determining structural progression of an eye disease using an ocular image. According to an embodiment of the present invention, a device for determining structural progression of an eye disease includes a processor, and a memory electrically connected to the processor, wherein, when the processor is executed, the memory stores instructions for obtaining a first-n.sup.th ocular image, which is an n.sup.th first ocular image for a user (where n is a natural number), obtaining a second-n.sup.th ocular image, which is an n.sup.th second ocular image for the user, combining the first-n.sup.th ocular image and the second-n.sup.th ocular image according to a preset method to generate an n.sup.th combined image, and generating an n.sup.th eye disease image for the user by using the n.sup.th combined image and a preset prone area image.

A vision screening device for administering vision screening tests to a patient, to determine the presence of diseases and/or abnormalities in the eye(s) of the patient, is described herein. The vision screening device may include associated methods and systems configured to perform the operations of the vision screening tests. The device may include a radiation source configured to generate near-infrared (NIR) radiation, a sensor configured to capture a grayscale image representing the radiation reflected by the eye(s) of the patient, a white light source, and a camera configured to capture a color image of the eye of the patient. The device may also be configured to generate a composite image based on the grayscale image and/or the color image, determine a difference between a value associated with the eye and an expected value, and generate an output indicative of a condition associated with the eye(s) based on the difference.

A vision screening device for administering vision screening tests to a patient, to determine the presence of diseases and/or abnormalities in the eye(s) of the patient, is described herein. The vision screening device may include associated methods and systems configured to perform the operations of the vision screening tests. The device may include a radiation source configured to generate near-infrared (NIR) radiation, a sensor configured to capture a grayscale image representing the radiation reflected by the eye(s) of the patient, a white light source, and a camera configured to capture a color image of the eye of the patient. The device may also be configured to generate a composite image based on the grayscale image and/or the color image, determine a difference between a value associated with the eye and an expected value, and generate an output indicative of a condition associated with the eye(s) based on the difference.

Systems and methods are provided for improving overall vision in patients suffering from a loss of vision in a portion of the retina (e.g., loss of central vision) by providing a piggyback lens which in combination with the cornea and an existing lens in the patient's eye redirects and/or focuses light incident on the eye at oblique angles onto a peripheral retinal location. The piggyback lens can include a redirection element (e.g., a prism, a diffractive element, or an optical component with a decentered GRIN profile) configured to direct incident light along a deflected optical axis and to focus an image at a location on the peripheral retina. Optical properties of the piggyback lens can be configured to improve or reduce peripheral errors at the location on the peripheral retina. One or more surfaces of the piggyback lens can be a toric surface, a higher order aspheric surface, an aspheric Zernike surface or a Biconic Zernike surface to reduce optical errors in an image produced at a peripheral retinal location by light incident at oblique angles.

A multifunctional ophthalmic instrument and method for assessing ocular surface health is disclosed. The instrument includes an illumination projector, which contains broadband light sources, covering visible and near infrared spectra, a zoom lens system with continuously variable magnification, a detection system to record said images, and a computer to display and analyze said images. Preferably, an eye alignment system with a beamsplitter is used to provide a fixation target for the eye under assessment. An optional thermal camera, operating in the long wave infrared spectrum is aligned paraxially to the zoom lens system. Further, an optional separate video camera is used to monitor the blink rate. Corneal topography and tear break up time could be evaluated with a low magnification, and microscopic features, such as tear meniscus height, meibomian gland orifices, are imaged at a high magnification. Meibomian glands and lipid layer thickness are analyzed with visible and near infrared spectra.

Methods, systems, and storage media for projecting a viewer-specific 3D object perspectives from a single 3D display are disclosed. Implementations may: acquire face and eye region image data of a plurality of viewers within a field of view of at least one camera associated with a 3D-enabled digital display; analyze the eye region image data to determine at least one 3D eye position, at least one eye state, at least one gaze angle, and at least one point-of-regard for a viewer relative to at least one camera associated with the 3D-enabled digital display; and calculate a plurality of processed image projections for display by the single 3D display. The digital-processing of input image projection enables a separate optical input to the user's eyes, and by the use of visual-acuity pre-processing of the image—via visual-field kernel, enables the treatment of eye abbreviations, including an Amblyopic-eye without the need for any additional eye-ware, or head-up-displays (HMD's).

Methods, systems, and storage media for projecting a viewer-specific 3D object perspectives from a single 3D display are disclosed. Implementations may: acquire face and eye region image data of a plurality of viewers within a field of view of at least one camera associated with a 3D-enabled digital display; analyze the eye region image data to determine at least one 3D eye position, at least one eye state, at least one gaze angle, and at least one point-of-regard for a viewer relative to at least one camera associated with the 3D-enabled digital display; and calculate a plurality of processed image projections for display by the single 3D display. The digital-processing of input image projection enables a separate optical input to the user's eyes, and by the use of visual-acuity pre-processing of the image—via visual-field kernel, enables the treatment of eye abbreviations, including an Amblyopic-eye without the need for any additional eye-ware, or head-up-displays (HMD's).

In a general aspect, a structured optical beam with position-dependent polarizations is prepared for human observation. In some examples, an optics method includes processing an optical beam to produce a structured optical beam for human observation. Processing the optical beam includes receiving the optical beam from a laser source; attenuating the optical beam to an exposure irradiance level that is safe for direct viewing by a human eye; expanding the optical beam to a size configured for a field of view of the human eye; and preparing the optical beam with a position-dependent polarization profile. The structured optical beam, which has the position-dependent polarization profile, is directed towards an observation region for human observation.

A method, system, and computer-readable medium, for detecting whether an eye blink or non-blink is captured in the image. The method includes filtering, from the image, one or more objects that are predicted to be unsuitable for determining whether an eye blink or no-blink is captured in the image, to provide a filtered image. The method also includes correlating the filtered image with a reference image, and determining, based on the correlating, whether the eye blink or non-blink is captured in the image. The eye blink is a full eye blink or a partial eye blink, and the images may be sequentially captured IR SLO images, in one example embodiment herein. Images determined to include an eye blink can be omitted from inclusion in a final (e.g., OCT) image.

A method, system, and computer-readable medium, for detecting whether an eye blink or non-blink is captured in the image. The method includes filtering, from the image, one or more objects that are predicted to be unsuitable for determining whether an eye blink or no-blink is captured in the image, to provide a filtered image. The method also includes correlating the filtered image with a reference image, and determining, based on the correlating, whether the eye blink or non-blink is captured in the image. The eye blink is a full eye blink or a partial eye blink, and the images may be sequentially captured IR SLO images, in one example embodiment herein. Images determined to include an eye blink can be omitted from inclusion in a final (e.g., OCT) image.