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A Novel Device to Exploit the Smartphone Camera for Fundus Photography

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TLDR
The cross-polarization technique adopted in the optical design dramatically diminished corneal Purkinje reflections, making it possible to screen patients even through undilated pupils, and potentially eliminating problems of poor exam skills and inexperienced observer bias.
Abstract
Purpose. To construct an inexpensive, convenient, and portable attachment for smartphones for the acquisition of still and live retinal images. Methods. A small optical device based on the principle of direct ophthalmoscopy was designed to be magnetically attached to a smartphone. Representative images of normal and pathological fundi were taken with the device. Results. A field-of-view up to ~20° was captured at a clinical resolution for each fundus image. The cross-polarization technique adopted in the optical design dramatically diminished corneal Purkinje reflections, making it possible to screen patients even through undilated pupils. Light emission proved to be well within safety limits. Conclusions. This optical attachment is a promising, inexpensive, and valuable alternative to the direct ophthalmoscope, potentially eliminating problems of poor exam skills and inexperienced observer bias. Its portability, together with the wireless connectivity of smartphones, presents a promising platform for screening and telemedicine in nonhospital settings. Translational Relevance. Smartphones have the potential to acquire retinal imaging for a portable ophthalmoscopy.

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The progress in understanding and treatment of diabetic retinopathy

TL;DR: It is emphasised that although there have been significant advances, there is still a pressing need for a better understanding basic mechanisms enable development of reliable and robust means to identify patients at highest risk, and to intervene effectively before vision loss occurs.
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Smartphone Sensors for Health Monitoring and Diagnosis.

TL;DR: A comprehensive review of the state-of-the-art research and developments in smartphone-sensor based healthcare technologies is presented and a discussion on regulatory policies for medical devices and their implications in smartphones-based healthcare systems is presented.
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Deep Learning Frameworks for Diabetic Retinopathy Detection with Smartphone-based Retinal Imaging Systems.

TL;DR: An automatic DR detection model for smartphone-based retinal images using the deep transfer learning approach for the ResNet50 network with publicly available datasets is developed and the effect of the field of view in smartphone- based retinal imaging was studied.
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A Smartphone-Based Tool for Rapid, Portable, and Automated Wide-Field Retinal Imaging

TL;DR: A smartphone-based system designed to improve smartphone retinal imaging by combining automated fixation guidance, photomontage, and multicolored illumination with optimized optics, user-tested ergonomics, and touch-screen interface produces high-quality, wide-field retinal images that demonstrate the potential of smartphone- based retinal cameras to be used for retinal disease screening.
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Smartphones, tele-ophthalmology, and VISION 2020.

TL;DR: How teleophthalmology helps to improve patient outcomes through smartphones is reviewed to achieve the aim of VISION 2020 all over the world.
References
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Investigative Ophthalmology and Visual Science

Cathy Frey
TL;DR: The proofs of your article above are available for your review and can be downloaded using the file located at this URL address: http://rapidproof.cadmus.com/RapidProof/retrieval/index.jsp.
Journal ArticleDOI

Retinal Imaging and Image Analysis

TL;DR: Methods for 2-D fundus imaging and techniques for 3-D optical coherence tomography (OCT) imaging are reviewed and aspects of image acquisition, image analysis, and clinical relevance are treated together considering their mutually interlinked relationships.
Journal ArticleDOI

Simple, inexpensive technique for high-quality smartphone fundus photography in human and animal eyes

TL;DR: A relatively simple technique of fundus photography in human and rabbit eyes using a smartphone, an inexpensive app for the smartphone, and instruments that are readily available in an ophthalmic practice is described.
Journal ArticleDOI

A mobile phone-based retinal camera for portable wide field imaging

TL;DR: A novel portable handheld smartphone-based retinal camera capable of capturing high-quality, wide field fundus images that can be directly transmitted from the phone via the wireless telecommunication system for remote evaluation is described.
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