Imaging various regions of the eye is important for both clinical diagnostic and treatment purposes as well as for scientific research. Diagnosis of a number of clinical conditions relies on imaging of the various tissues of the eye. The subject technology describes a method and apparatus for imaging of the back and/or front of the eye using multiple illumination modalities, which permits the collection of one or more of reflectance, spectroscopic, fluorescence, and laser speckle contrast images.

An apparatus for producing a fundus image includes: a processor and a memory; an illumination component including a light source and operatively coupled to the processor; a camera including a lens and operatively coupled to the processor, wherein the memory stores instructions that, when executed by the processor, cause the apparatus to capture fundus images and provide controls for re-imaging the fundus.

System and method directed towards providing full and even illumination of a patient's retina through lighting integrated into a handheld fundus lens. By integrating the lighting, the method and system reduces and even eliminate many lens artifacts and reflections. By increasing the accuracy, quality, and field of view afforded during clinical examination of the retina, the method and system will allow practitioners to make more accurate diagnoses and will increase safety during retinal surgical procedures.

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

The present disclosure provides techniques and apparatus for capturing an image of a person's retina fundus, identifying the person, accessing various electronic records (including health records) or accounts or devices associated with the person, determining the person's predisposition to certain diseases, and/or diagnosing health issues of the person. Some embodiments provide imaging apparatus having one or more imaging devices for capturing one or more images of a person's eye(s). Imaging apparatus described herein may include electronics for analyzing and/or exchanging captured image and/or health data with other devices. In accordance with various embodiments, imaging apparatus described herein may be alternatively or additionally configured for biometric identification and/or health status determination techniques, as described herein.

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 device for illuminating a posterior segment of an eye may include multiple channels. Each of the channels may include multiple illumination paths such as a first region illumination path, and a second region illumination path. The first region illumination path and the second region illumination path may be illuminated at different times such that a first region and a second region may be imaged without interference from a non-illuminated illumination path.

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.