Previous work has shown that multi-offset detection in adaptive optics scanning laser ophthalmoscopy (AOSLO) can be used to image transparent cells such as retinal ganglion cells (RGCs) in monkeys and humans. Though imaging in anesthetized monkeys with high light levels produced high contrast images of RGCs, images from humans failed to reach the same contrast due to several drawbacks in the previous dual-wavelength multi-offset approach. Our aim here was to design and build a multi-offset detection pattern for humans at safe light levels that could reveal transparent cells in the retinal ganglion cell layer with a contrast and acquisition time approaching results only previously obtained in monkeys. Here, we present a new single-wavelength solution that allows for increased light power and eliminates problematic chromatic aberrations. Then, we demonstrate that a radial multi-offset detection pattern with an offset distance of 8-10 Airy Disk Diameter (ADD) is optimal to detect photons multiply scattered in all directions from weakly reflective retinal cells thereby enhancing their contrast. This new setup and image processing pipeline led to improved imaging of inner retinal cells, including the first images of microglia with multi-offset imaging in AOSLO.
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http://dx.doi.org/10.1364/BOE.441808 | DOI Listing |
Invest Ophthalmol Vis Sci
August 2024
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, United States.
Purpose: Hypo-reflective clumps (HRCs) are structures associated with age-related macular degeneration (AMD) that were identified using flood-illumination adaptive optics ophthalmoscopy (FIAO) and hypothesized to be either macrophages that have accumulated melanin through the phagocytosis of retinal pigmented epithelial (RPE) cell organelles or transdifferentiated RPE cells. HRCs may be autofluorescent (AF) in the near infrared (NIR) but clinical NIR autofluorescence imaging lacks the resolution to answer this question definitively. Here, we used near infrared autofluorescence (NIRAF) imaging in fluorescence adaptive optics scanning laser ophthalmoscopy (AOSLO) to determine whether HRCs are AF.
View Article and Find Full Text PDFBiomed Opt Express
January 2022
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh 15106, USA.
Previous work has shown that multi-offset detection in adaptive optics scanning laser ophthalmoscopy (AOSLO) can be used to image transparent cells such as retinal ganglion cells (RGCs) in monkeys and humans. Though imaging in anesthetized monkeys with high light levels produced high contrast images of RGCs, images from humans failed to reach the same contrast due to several drawbacks in the previous dual-wavelength multi-offset approach. Our aim here was to design and build a multi-offset detection pattern for humans at safe light levels that could reveal transparent cells in the retinal ganglion cell layer with a contrast and acquisition time approaching results only previously obtained in monkeys.
View Article and Find Full Text PDFOff-axis detection methods in adaptive optics (AO) ophthalmoscopy can enhance image contrast of translucent retinal structures such as cone inner segments and retinal ganglion cells. Here, we propose a 2D optical model showing that the phase contrast produced by these methods depends on the offset orientation. While one axis provides an asymmetric light distribution, hence high phase contrast, the perpendicular axis provides a symmetric one, thus substantially lower contrast.
View Article and Find Full Text PDFBiomed Opt Express
November 2018
School of Optometry and Vision Science Graduate Group, University of California Berkeley, Berkeley, CA, USA.
Adaptive optics scanning laser ophthalmoscopy (AOSLO) is a powerful tool for imaging the retina at high spatial and temporal resolution. In this paper, we present a multi-detector scheme for AOSLO which has two main configurations: pixel reassignment and offset aperture imaging. In this detection scheme, the single element detector of the standard AOSLO is replaced by a fiber bundle which couples the detected light into multiple detectors.
View Article and Find Full Text PDFSpectral depth-profiling of optically turbid samples is of high interest to a broad range of applications. We present a method for measuring spatially-offset Raman spectroscopy (SORS) over a range of length scales by incorporating a digital micro-mirror device (DMD) into a sample-conjugate plane in the detection optical path. The DMD can be arbitrarily programmed to collect/reject light at spatial positions in the 2D sample-conjugate plane, allowing spatially offset Raman measurements.
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