Second Harmonic Generation Microscopy of Electromechanical Reshaping on Corneal Collagen.
Journal
Experimental eye research
ISSN: 1096-0007
Titre abrégé: Exp Eye Res
Pays: England
ID NLM: 0370707
Informations de publication
Date de publication:
21 May 2024
21 May 2024
Historique:
received:
10
11
2023
revised:
16
05
2024
accepted:
21
05
2024
medline:
24
5
2024
pubmed:
24
5
2024
entrez:
23
5
2024
Statut:
aheadofprint
Résumé
Refractive errors remain a global health concern, as a large proportion of the world's population is myopic. Current ablative approaches are costly, not without risks, and not all patients are candidates for these procedures. Electromechanical reshaping (EMR) has been explored as a viable cost-effective modality to directly shape tissues, including cartilage. In this study, stromal collagen structure and fibril orientation was examined before and after EMR with second-harmonic generation microscopy (SHG), a nonlinear multiphoton imaging method that has previously been used to study native corneal collagen with high spatial resolution. EMR, using a milled metal contact lens and potentiostat, was performed on the corneas of five extracted rabbit globes. SHG was performed using a confocal microscopy system and all images underwent collagen fibril orientation analysis. The collagen SHG signal in controls is uniform and is similarly seen in samples treated with pulsed potential, while continuous EMR specimens have reduced, nonhomogeneous signal. Collagen fibril orientation in native tissue demonstrates a broad distribution with suggestion of another peak evolving, while with EMR treated eyes a bimodal characteristic becomes readily evident. Pulsed EMR may be a means to correct refractive errors, as when comparing its SHG signal to negative control, preservation of collagen structures with little to no damage is observed. From collagen fiber orientation analysis, it can be inferred that simple DC application alters the structure of collagen. Future studies will involve histological assessment of these layers and multi-modal imaging analysis of dosimetry.
Identifiants
pubmed: 38782177
pii: S0014-4835(24)00162-3
doi: 10.1016/j.exer.2024.109941
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109941Informations de copyright
Copyright © 2024. Published by Elsevier Ltd.