Optical coherence tomography for an adaptive optics retina camera

Donald T. Miller; Junle Qu; Ravi S. Jonnal; Huawei Zhao

doi:10.1117/12.529196

19 November 2003 Optical coherence tomography for an adaptive optics retina camera

Donald T. Miller, Junle Qu, Ravi S. Jonnal, Huawei Zhao

Proceedings Volume 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life; (2003) https://doi.org/10.1117/12.529196
Event: 19th Congress of the International Commission for Optics: Optics for the Quality of Life, 2002, Florence, Italy

Abstract

We have constructed a parallel optical coherence tomographic (OCT) system that is designed to work with adaptive optics (AO) for imaging single cells in the living human retina. The high-axial resolution of OCT combined with the high-transverse resolution of AO provides a powerful imaging tool whose image quality can surpass either methodology performing alone. 3-D reconstructions were obtained of a stack of cover slips and in vitro bovine retina. Reconstructions of the bovine retina contained sufficient sensitivity to reveal clear stratification of several retinal and choroidal layers, and arrangement of individual blood vessels. The results suggest that an OCT-AO camera should substantially improve our ability to detect single cells in the retina over the current state-of-the-art AO retina cameras.

Citation Download Citation

Donald T. Miller, Junle Qu, Ravi S. Jonnal, and Huawei Zhao "Optical coherence tomography for an adaptive optics retina camera", Proc. SPIE 4829, 19th Congress of the International Commission for Optics: Optics for the Quality of Life, (19 November 2003); https://doi.org/10.1117/12.529196

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available