Images Digitization and Characterization of Surface and Fundus obtained through a Slit Lamp Adapted

Abstract

Slit Lamp (SL) is the equipment commonly used in most eye clinics. This instrument allows to observe ocular structures of both the anterior segment and posterior segment with different values of magnification. Today it is very common, obtain images from SL with a Smartphone by placing a simple adapter in the eyepiece of it. While these images help documentation, they lose their diagnostic quality with this acquisition technique, mainly because of the lack of correction of optical aberrations and noise introduced in such a system. This paper analyzes the hardware settings and characterization of images needed to achieve a 2D image of diagnostic quality in SL. For this purpose was developed a universal adapter for SLR cameras and using the software capture the camera itself. They were captured 128 images: 73 of anterior segment, 25 fundus and the rest with a magnifying glass and panfunduscopio. These images were characterized by type and noise power. It was determined the point spread function PSF and the consequent MTF for the optical system of the full SL with all of its gains later managing to improve photographs by Lucy-Richardson deconvolution algorithm. Finally were obtained in the SL the numerical aperture and F number (#f). These latest data, uncommon in the technical data of manufacturers, are of fundamental importance in future adaptations that seek to make, preserving diagnostic quality and not just for documentation purposes.