Morphological characterization of keratoconus-affected human corneas by SHG imaging and correlation analysis

Year: 2016

Authors: Mercatelli R., Ratto F., Tatini F., Rossi F., Menabuoni L., Nicoletti R., Pini R., Pavone F., Cicchi R.

Autors Affiliation: National Institute of Optics, National Research Council (INO-CNR), Largo E. Fermi 6, Florence, 50125, Italy; IFAC-CNR, Istituto di Fisica Applicata N. Carrara, Via Madonna del Piano 10, Sesto, Fiorentino (FI), 50019, Italy; Department of Ophthalmology, Public Hospital of Prato, Piazza Ospedale 5, Prato (PO), 59100, Italy; C.S.O S.r.l, Via degli Stagnacci 12/e, Scandicci (FI), 50018, Italy; European Laboratory for Non-Linear Spectroscopy (LENS), University of Florence, Via Nello Carrara, 1, Sesto Fiorentino, 50019, Italy

Abstract: Keratoconus is an ophthalmic disease in which the cornea acquires an abnormal conical shape that prevents the correct focusing on the retina, causing visual impairment. The late diagnosis of keratoconus is among the principal causes of corneal transplantation surgery. In this study, we characterize the morphology of keratoconic corneas by means of the correlation of SHG images, finding that keratoconus can be diagnosed by analyzing the inclination of lamellae below Bowman

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More Information: The research leading to these results has received funding from Tuscany Region and EU FP7 Biophotonics Plus project \”LITE\” (Laser Imaging of The Eye), from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement number 284464, from the Italian Ministry of Health (GR-2011-02349626), from the Italian Ministry for Education, University and Research in the framework of the Flagship Project NANOMAX, from Fondazione Pisa, and from Ente Cassa di Risparmio di Firenze. – The Society of Photo-Optical Instrumentation Engineers (SPIE)
KeyWords: Diagnosis; Nonlinear optics; Transplantation (surgical), Bowman’s membrane; Cornea; Corneal transplantation; Correlation analysis; Keratoconus; Morphological characterization; Morphological features; Visual impairment, Harmonic generation