In vivo cellular visualization of the human retina using optical coherence tomography and adaptive optics Page: 4 of 11
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reference sample is used to measure
the reflectance of retinal tissue in
a series of axial depth locations-
called an "A-scan." Multiple A-scans
are then obtained at a sequence of
lateral locations, called a "B-scan,"
in order to produce a 2-D image
"slice" of the retina. These image
slices can be collected at multiple
locations throughout a subject's eye
to provide an assessment of the
overall health of retinal structures.
A new method called Fourier-domain
OCT (FD-OCT) has recently
demonstrated performance enhancements
compared to the time-domain OCT
imaging technique. Fourier-domain OCT
offers a significant advantage in
sensitivity and acquisition speed.'
Its differentiating feature is that
data on the reflectance of the
retinal tissue at each axial depth
location is obtained simultaneously
by recording the wavelength spectrum
of the coherent interference between
light reflected from the retina and
the reference sample. This spectrum
contains information about the
reflectivity at each axial depth,
which can be recovered by computing
the inverse Fourier transform of the
spectrum. Although the FD-OCT is an
advance over the standard time-domain
approach, the ability to visualize
clinically important structures in
the eye is still limited in both
methods by their image resolution.
The resolution of OCT systems in
the axial dimension is set by the
coherence properties of the light
source. Current light sources can
provide axial resolution below 3 pm,
which is more than sufficient to
resolve the axial dimensions of most
retinal cells. The lateral
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Olivier, S S; Jones, S M; Chen, D C; Zawadzki, R J; Choi, S S; Laut, S P et al. In vivo cellular visualization of the human retina using optical coherence tomography and adaptive optics, article, January 5, 2006; Livermore, California. (https://digital.library.unt.edu/ark:/67531/metadc878907/m1/4/: accessed March 20, 2019), University of North Texas Libraries, Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.