ESCRS - FP29.06 - Smart Phone Based Specular Imaging And App Based Analysis Of Corneal Endothelium

Smart Phone Based Specular Imaging And App Based Analysis Of Corneal Endothelium

Published 2026 - 44th Congress of the ESCRS

Reference: FP29.06 | Type: Free paper | DOI: 10.82333/92at-y839

Authors: Prof. Madhu Uddaraju* 1

1Advanced Cataract and Cornea,Dr Ramana Rajus VisionTree,Visakhapatnam ,India

Purpose

Specular microscopes are important tools to monitor the health of the corneal endothelium, but their high costs significantly limit accessibility in

low-resource environments. We developed and validated a low-cost, fully automated method to quantitatively evaluate the corneal endothelium(CE) using smartphone-based specular microscopy

Setting

Slit lamp assited smart phone camera based image capturing with in built app based image analysis and reporting

Methods

A OnePlus 7 Pro smartphone attached to a Topcon SL-D701 slit-lamp was used to image the central corneal endothelium of 30 eyes using the specular reflection technique.A novel on-device imageprocessing algorithm automatically computed endothelial cell density (ECD), percentage of hexagonal cells (HEX), and coefficient of variation (CV) values. These values were compared with the ECD, HEX, and CV generated by a TomeyEM-4000 specular microscope used to image the same set of eyes.

Results

No significant differences were found in ECD (2799 ± 156 cells/mm2 vs.2779 ± 166 cells/mm2; P= 0.28) and HEX (52 ± 6% vs. 53 ± 6%; P= 0.50) computed by smartphone-based specular imaging and specular microscope,respectively.A statistically significant difference in CV(34±3%vs.30±3%;P < 0.01) was found between the two methods.The concordance achieved between the smartphone-based method and theTomey specular microscope is very similar to the concordance between two specular microscopes reported in the literature.

Conclusions

Smartphone-based specular imaging and automated analysis is a low-cost method to quantitatively evaluate the CE witha ccuracyc omparable to the  clinical standard.