Adaptive optics parallel spectral domain optical coherence tomography for imaging the living retina

Yan Zhang; Jungtae Rha; Ravi Jonnal; Donald T. Miller

doi:10.1364/OPEX.13.004792

Adaptive optics parallel spectral domain optical coherence tomography for imaging the living retina

Yan Zhang, Jungtae Rha, Ravi Jonnal, Donald T. Miller

Research output: Contribution to journal › Article › peer-review

258 Scopus citations

Abstract

A spectral domain optical coherence tomography (SD-OCT) camera, based on a free space parallel illumination architecture and equipped with adaptive optics for retina, was developed. The camera has sufficient 3D resolution, sensivity and speed for imaging the retina at the single cell level. Camera sensivity is sufficient for observing reflections from essentially all neural layers of the retina. The camera provides the first observations of the interface between the inner and outer segments of the individual cones, resolved simultaneously in both lateral and axial dimensions.

Original language	English (US)
Pages (from-to)	4792-4811
Number of pages	20
Journal	Optics Express
Volume	13
Issue number	12
DOIs	https://doi.org/10.1364/OPEX.13.004792
State	Published - Jun 13 2005
Externally published	Yes

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics

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abstract = "A spectral domain optical coherence tomography (SD-OCT) camera, based on a free space parallel illumination architecture and equipped with adaptive optics for retina, was developed. The camera has sufficient 3D resolution, sensivity and speed for imaging the retina at the single cell level. Camera sensivity is sufficient for observing reflections from essentially all neural layers of the retina. The camera provides the first observations of the interface between the inner and outer segments of the individual cones, resolved simultaneously in both lateral and axial dimensions.",

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Adaptive optics parallel spectral domain optical coherence tomography for imaging the living retina

Abstract

ASJC Scopus subject areas

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