A novel approach to anterior segment imaging with smartphones in the COVID-19 era

Autor: Josephine S Christy, Divya Parthasarathy Rao, Shanmuganathan Nagarajan, Amrutha Galagali, Sreetama Dutt, Siva S. Vadivel, Anand Sivaraman
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Indian Journal of Ophthalmology, Vol 69, Iss 5, Pp 1257-1262 (2021)
ISSN: 1998-3689
0301-4738
Popis: Purpose To report a novel, telemedicine-friendly, smartphone-based, wireless anterior segment device with instant photo-documentation ability in the COVID-19 era. Methods Anterior Imaging Module (AIM) was constructed based on a 50/50 beam splitter design, to match the magnification drum optics of slit-lamps with a three-step or higher level of magnification. The design fills the smartphone sensor fully at the lowest magnification and matches the fixed focus of the slit-lamp. It comes with a smartphone for instant photo-documentation, an in-built software application for data-management and secure HIPAA compliant cloud storage, and a Bluetooth trigger for a one-tap image capture. The construction of the device is explained, and the optical resolution measured using U.S. air-force resolution test. AIM's performance was characterized with traceability to internationally relevant performance standards for digital slit-lamps after image quality assessment through a pilot study. Results Clinically useful anterior segment images were obtained with both diffuse and slit illumination at different magnification settings with the highest magnification (40X) resolution of 359 lines per cm and the lowest magnification (16X) resolution of 113 lines per cm. Conclusion AIM is a novel, wireless, telemedicine-enabled design that digitizes existing, analog slit lamps with at least three-step magnification. The settings ensure the focus is determined purely by the position of the slit-lamp. Hence, the image viewed and captured on the smartphone is exactly what the clinician sees through the eyepiece. This helps in maintaining distance from the patient in the ongoing COVID-19 pandemic, as well.
Databáze: OpenAIRE