Adaptive Optics Imaging of Inherited Retinal Disease.


Journal

Cold Spring Harbor perspectives in medicine
ISSN: 2157-1422
Titre abrégé: Cold Spring Harb Perspect Med
Pays: United States
ID NLM: 101571139

Informations de publication

Date de publication:
05 07 2023
Historique:
pmc-release: 01 07 2025
medline: 7 7 2023
pubmed: 12 10 2022
entrez: 11 10 2022
Statut: epublish

Résumé

The human retina is amenable to direct, noninvasive visualization using a wide array of imaging modalities. In the ∼140 years since the publication of the first image of the living human retina, there has been a continued evolution of retinal imaging technology. Advances in image acquisition and processing speed now allow real-time visualization of retinal structure, which has revolutionized the diagnosis and management of eye disease. Enormous advances have come in image resolution, with adaptive optics (AO)-based systems capable of imaging the retina with single-cell resolution. In addition, newer functional imaging techniques provide the ability to assess function with exquisite spatial and temporal resolution. These imaging advances have had an especially profound impact on the field of inherited retinal disease research. Here we will review some of the advances and applications of AO retinal imaging in patients with inherited retinal disease.

Identifiants

pubmed: 36220331
pii: cshperspect.a041285
doi: 10.1101/cshperspect.a041285
pmc: PMC10317068
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NEI NIH HHS
ID : R01 EY017607
Pays : United States
Organisme : NEI NIH HHS
ID : R01 EY033580
Pays : United States

Informations de copyright

Copyright © 2023 Cold Spring Harbor Laboratory Press; all rights reserved.

Auteurs

Jacque L Duncan (JL)

Department of Ophthalmology, University of California, San Francisco, California 94143-4081, USA.

Joseph Carroll (J)

Department of Ophthalmology & Visual Sciences, Medical College of Wisconsin Eye Institute, Milwaukee, Wisconsin 53226, USA jcarroll@mcw.edu.

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Classifications MeSH