基于苹果 iOS 应用技术的角膜损伤检测。
Corneal Injury Detection Using Apple iOS-Based Application Technology.
机构信息
Beckman Laser Institute and Medical Clinic, University of California Irvine, Irvine, CA; and.
Department of Otolaryngology, Head and Neck Surgery, University of California Irvine, Orange, CA.
出版信息
Cornea. 2020 Jun;39(6):793-794. doi: 10.1097/ICO.0000000000002226.
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.
目的
描述一种无附件的基于 iOS 的钴蓝光应用程序，以准确检测角膜损伤的可行性。
方法
用钝手术刀轻轻刮除新西兰白兔的角膜上皮，或使用经典的活检穿孔器（直径 2 毫米）。然后，在每个角膜上滴入荧光素钠滴眼液后，使用支持智能手机的蓝光进行检查。使用基于智能手机的光前后，使用第二部智能手机设备拍摄每个角膜的照片。
结果
基于 iOS（苹果公司，库比蒂诺，加利福尼亚州）的钴蓝光有效地照亮了所有离体样本中的荧光素染料。圆形穿孔活检和线性手术刀引起的角膜损伤都很容易识别。
结论
基于 iOS 的钴蓝光是一种便携式、低成本、有效的替代商用钴蓝光的方法。
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