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Corneal Injury Detection Using Apple iOS-Based Application Technology

机译:基于Apple IOS的应用技术的角膜损伤检测

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摘要

Purpose: To describe the feasibility of an attachment-free iOS-based cobalt blue light application to accurately detect corneal injury. Methods: Corneal epithelium from New Zealand White rabbits was removed by gentle scraping with a dulled scalpel or by using a classic biopsy punch (2 mm in diameter). Each cornea was then examined using a smartphone-enabled blue light after applying a fluorescein sodium ophthalmic strip. Photographs of each cornea before and after using the smartphone-based light were captured with a second smartphone device. Results: The iOS-based (Apple Inc., Cuptertino, CA) cobalt blue light effectively illuminated fluorescein dye in all ex vivo samples. Both circular punch biopsy and linear scalpel-induced corneal injuries were readily identified. Conclusions: The iOS-based cobalt blue light is a portable, low-cost, and effective alternative to commercially available cobalt blue lights.
机译:目的:描述无需基于IOS的钴蓝光应用的可行性,以准确检测角膜损伤。 方法:通过用钝化的手术刀轻轻刮擦新西兰白兔的角膜上皮,或者使用经典的活检冲头(直径为2mm)。 然后在施用荧光素钠眼球条后使用智能手机的蓝光检查每个角膜。 使用第二智能手机设备捕获使用基于智能手机的光之前和之后的每个角膜的照片。 结果:基于IOS的(Apple Inc.,Cuptertino,CA)Cobalt Blue Light有效地照亮了所有离体内样品中的荧光素染料。 容易鉴定圆形冲击活检和线性分离型角膜损伤。 结论:基于IOS的钴蓝光是可便携式,低成本,有效的商业钴蓝光替代品。

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