Compact telescope configurations for light scanning systems and related methods are disclosed. According to an aspect, a system for imaging or relaying an image of an object includes a first optical element having a first focal length f.sub.1 for imaging or relaying an image of an object at the distance f.sub.1 from the first optical element. The system also includes a second optical element having a second focal length f.sub.2 for receiving an image of the object from the first optical element and for focusing an output of the image at the distance f.sub.2 from the second optical element on a side that opposes the first optical element. The first optical element and the second optical element are separated by a distance of approximately [Formula I], wherein r is the finite radius of curvature of the wavefront of light located at the object or image of the object.

A retina image template matching method is based on the registration and comparison between the images captured with portable low-cost fundus cameras (e.g., a consumer grade camera typically incorporated into a smartphone or tablet computer) and a baseline image. The method solves the challenges posed by registering small and low-quality retinal template images captured with such cameras. Our method combines dimension reduction methods with a mutual information (MI) based image registration technique. In particular, principle components analysis (PCA) and optionally block PCA are used as a dimension reduction method to localize the template image coarsely to the baseline image, then the resulting displacement parameters are used to initialize the MI metric optimization for registration of the template image with the closest region of the baseline image.

An ophthalmoscope includes an illumination assembly having a light source disposed along an illumination axis and an imaging assembly configured for delivering an image to an imaging device. Each of the imaging and illumination assemblies are disposed in an instrument housing, the ophthalmoscope being configured for attachment to an electronic imaging device and in which the imaging assembly produces a field of view of about 40 degrees to permit more comprehensive eye examinations to be reliably conducted. In at least one version, a portable electronic device, such as a smart device, can be coupled to the instrument or configured to wirelessly receive images therefrom.

System and Method pertaining to the modification and integration of an existing consumer digital camera, for example, with an optical imaging module to enable point and shoot fundus photography of the eye. The auto-focus macro capability of existing consumer cameras is adapted to photograph the retina over an extended diopter range, eliminating the need for manual diopter focus adjustment. The thru-the-lens (TTL) auto-exposure flash capability of existing consumer cameras is adapted to photograph the retina with automatic flash exposure eliminating the need for manual flash adjustment. The consumer camera imaging sensor and flash are modified to allow the camera sensor to perform both non-mydriatic focusing of the retina using infrared illumination and standard color flash photography of the retina without the need for additional imaging sensors or mechanical filters. These modifications and integration of existing consumer cameras for fundus photography of the eye significantly improve ease of manufacture and usability.

A retinal imager for imaging a retina of an eye includes an illumination source operable to generate illumination light and a beam splitter operable to receive the illumination light and direct the illumination light along an optical axis. The retinal imager also includes a field lens disposed along the optical axis and an objective lens disposed along the optical axis and operable to contact a cornea of the eye. An aerial image is formed adjacent to the field lens. The retinal imager further includes an image sensor and one or more lenses disposed along the optical axis between the beam splitter and the image sensor. The one or more lenses are operable to form a sensor image at the image sensor.

An apparatus is disclosed for treating macular degeneration including an optical filter configured to be mated with the ophthalmic lens, the filter having a surface wherein at least a portion of the surface comprises non-transmissive material that may distribute power from a light beam creating a plurality of light beams. A method of treating macular degeneration using the optical filter is also disclosed.

Some embodiments of the disclosure provide a diabetic retinopathy recognition system (S) based on fundus image. According to an embodiment, the system includes an image acquisition apparatus (1) configured to collect fundus images. The fundus images include target fundus images and reference fundus images taken from a person. The system further includes an automatic recognition apparatus (2) configured to process the fundus images from the image acquisition apparatus by using a deep learning method. The automatic recognition apparatus automatically determines whether a fundus image has a lesion and outputs the diagnostic result. According to another embodiment, the diabetic retinopathy recognition system (S) utilizes a deep learning method to automatically determine the fundus images and output the diagnostic result.

A medical diagnostic instrument or a plurality of disparate medical diagnostic instruments are configured with a common optical architecture that functionally creates a virtual eye to create closer proximity to a patient and therefore increase the field of view in regard to a target of interest. The optical system includes a distal optical element, at least one relay lens and an eyepiece lens in which the optical system can be integrated within at least one instrument or be provided using a releasable module. Additionally, at least one of a viewing assembly and illumination assembly of at least one medical diagnostic instrument can be assembled using a series of components that are connected by interlocking features.

A system and method for measuring intraocular pressure (IOP) of the eye. The method 5 comprises the steps of touching the eyelid with a pressure sensor array; obtaining a spatiotemporal representation of pressure sensor stimulation of the pressure sensor array while touching the eyelid with the pressure sensor array; and applying a machine learning model to classify the spatiotemporal representation into an IOP value.

An eye imaging apparatus can include a housing, an optical imaging system in the housing, and a light source in the housing to illuminate an eye. The optical imaging system can include an optical window at a front end of the housing with a concave front surface for receiving the eye as well as an imaging lens disposed rearward the optical window. The apparatus can comprise a light conditioning element configured to receive light from the light source and direct said light to the eye. The apparatus can further include an image sensor in the housing disposed to receive an image of the eye from the optical imaging system. In various embodiments, light conditioning element includes at least one multi-segment surface. In some embodiments, the housing is provided with at least one hermitic seal, for example, with the optical window. In some embodiments, time sequential illumination is employed.