ABSTRACT
In this work, we design a three-dimensional miniature ophthalmoscope that can be worn on glasses. The purpose of this device is to monitor eye conditions in real time and record fundus images for direct transmission via Internet to medical providers. After accumulating sufficient data, ophthalmology departments can apply big-data analysis techniques to improve medical treatment. In this work, we design a set of images ranging in size from large to small to test the ability of the human eye to recognize images shown on two- and three-dimensional displays. A statistical method based on the mean is used to determine eye recognition, and the results in turn determine the design of the wearable miniature ophthalmoscope. The design of optics is based mainly on the requirements and specifications of the ophthalmoscope. A large aperture (F/# = 1.4) is used to increase the light input into the device, without increasing the power of the light source. We also design an image-transfer system based on 2.5× fixed-focus telecentric right-angled prisms. The optical design was based on visible light from a simulated light source, with the addition of near-infrared radiation. According to the literature, the infrared spectrum (965 nm) penetrates human eye tissue better and can thus be used by physicians to support and solidify their diagnoses.
