Corneal Endothelial Microscopy: Does a Manual Recognition of the Endothelial Cells Help the Morphometric Analysis Compared to a Fully Automatic Approach?

Abstract

This study investigated whether manual integration in the recognition of the endothelial cells produces different outcomes of morphometric parameters compared to a fully automatic approach. Eight hundred and ninety endothelial images, originally acquired by the Perseus Specular Microscope (CSO, Florence, Italy), from seven positions of right and left corneas were selected from the database of the Research Centre in Optics and Optometry at the University of Milano-Bicocca. For each image selected, two procedures of cell identification were performed by the Perseus: an automatic identification and a manual-integrated procedure to add potential additional cells with the available editing tool. At the end of both procedures, the endothelial cell density (ECD), coefficient of variation (CV), and hexagonality (HEX) of the mosaic were calculated. The HEX in the two procedures was significantly different for all comparisons (p < 0.001), but clinically negligible. No significant differences were found for the CV and ECD in the images of both eyes irrespective of the corneal position of acquisition (except for ECD in three corneal portions, p < 0.05). To conclude, it is possible to recognise a significantly higher number of cells using the manual-integrated procedure than it is using the fully automatic one, but this does not change the morphological parameters achieved.

Publication DOI: https://doi.org/10.3390/vision8040064
Divisions: College of Health & Life Sciences
Additional Information: Copyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: corneal endothelium,specular microscopy,endothelium morphology,endothelial cell density,coefficent of variation,hexagonality
Publication ISSN: 2411-5150
Last Modified: 14 Nov 2024 17:32
Date Deposited: 14 Nov 2024 17:32
Full Text Link:
Related URLs: https://www.mdp ... 411-5150/8/4/64 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-12
Published Online Date: 2024-10-30
Accepted Date: 2024-10-25
Authors: Rizzo, Giulia Carlotta
Di Grassi, Rosa
Ponzini, Erika
Tavazzi, Silvia
Zeri, Fabrizio (ORCID Profile 0000-0003-0529-555X)

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