STTR Phase I: Multiple Eye Disease Detection Using a Smartphone

这一小型企业技术转让(STTR)第一阶段项目的更广泛影响/商业影响是主动管理眼睛健康。大约2.85亿人和3900万人分别患有视力障碍和失明。对眼病的早期监测对减缓其进展至关重要，但目前这项评估需要眼科实践或验光办公室的专门设备。基于智能手机的疾病检测是可定制的、便携的、易于访问的和多功能的。这个小企业技术转移(STTR)第一阶段项目旨在设计和开发一个使用智能手机的眼病诊断工具。该项目将开发和验证用于圆锥角膜、青光眼和白内障检测的新型数据采集、图像处理和机器学习技术，包括检测运动和噪声伪影的新算法，以减少图像污染。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact/commercial impact of this Small Business Technology Transfer (STTR) Phase I project is to proactively manage eye health. Approximately 285 million people and 39 million people suffer respectively from visual impairment and blindness. Monitoring of eye disease in early stages is critical to slowing its progression, but currently this assessment requires specialized equipment in ophthalmology practices or optometry offices. Smartphone-based disease detection is customizable, portable, easy-to-access, and multi-functional.This Small Business Technology Transfer (STTR) Phase I project aims to design and develop an eye disease diagnostic tool using a smartphone. This project will develop and validate novel data acquisition, image processing and machine learning techniques for keratoconus, glaucoma, and cataract detection, including new algorithms for detection of motion and noise artifacts to reduce image corruption.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.