Erratum: Adaptive optics fluorescence lifetime imaging ophthalmoscopy of in vivo human retinal pigment epithelium: erratum.

[This corrects the article on p. 1737 in vol. 13, PMID: 35414970.].

Adaptive optics fluorescence lifetime imaging ophthalmoscopy of in vivo human retinal pigment epithelium.

The intrinsic fluorescence properties of lipofuscin - naturally occurring granules that accumulate in the retinal pigment epithelium - are a potential biomarker for the health of the eye. A new modality is described here which combines adaptive optics technology with fluorescence lifetime detection, allowing for the investigation of functional and compositional differences within the eye and between subjects. This new adaptive optics fluorescence lifetime imaging ophthalmoscope was demonstrated in 6 subjects. Repeated measurements between visits had a minimum intraclass correlation coefficient of 0.59 Although the light levels were well below maximum permissible exposures, the safety of the imaging paradigm was tested using clinical measures; no concerns were raised. This new technology allows for in vivo adaptive optics fluorescence lifetime imaging of the human RPE mosaic.

High-Resolution Adaptive Optics in Vivo Autofluorescence Imaging in Stargardt Disease.

Importance: Targeting the early pathogenic steps in Stargardt disease type 1 (STGD1) is critical to advance our understanding of this condition and to develop potential therapies. Lipofuscin precursors may accumulate within photoreceptors, leading to photoreceptor damage and preceding retinal pigment epithelial (RPE) cell death. Fluorescence adaptive optics scanning light ophthalmoscopy can provide autofluorescence (AF) images in vivo with microscopic resolution to elucidate the cellular origin of AF abnormalities in STGD1. Objective: To study the spatial distribution of photoreceptor, RPE, and AF abnormalities in patients with STGD1 at a cellular level. Design, Setting, and Participants: Cross-sectional study using fluorescence adaptive optics scanning light ophthalmoscopy to compare the cones, rods, and RPE cells between 3 patients with STGD1 and 1 control individual. Imaging sessions were conducted at the University of Rochester. Further image analyses were performed at Beijing Tongren Eye Center and the University of Pittsburgh. Data were collected from August 2015 to February 2016, and analysis began in March 2016. Main Outcomes and Measures: Structural appearance of cones, rods, and AF structures at different retinal locations. Results: Two women and 1 man with macular atrophy phenotype of STGD1 and visual acuity loss ranging from 20/30 to 20/150 and 1 woman without STGD1 with 20/20 visual acuity were analyzed. Cone and rod spacing was increased in all 3 patients at all locations where photoreceptors were detectable; most cones had a dark appearance. Autofluorescence was low contrast but contained structures consistent with RPE cells in the periphery. In the transition zone peripheral to the foveal atrophic lesion, the structural pattern of AF was more consistent with photoreceptors than RPE cells. The microscopic AF was disrupted within areas of clinically detectable atrophy. Conclusions and Relevance: Adaptive optics high-resolution images of cones, rods, and RPE cells at the leading disease front of STGD1 macular atrophy show an AF pattern that appears to colocalize with photoreceptors or may result from a combination of AF signals from both RPE cells and photoreceptors. This in vivo observation is consistent with histologic reports of fluorescence arising from photoreceptors in STGD1. The detection of bisretinoid accumulation in the photoreceptors may represent an early pathologic step in STGD1 and can provide an in vivo imaging tool to act as a biomarker of disease progression.

Human Retinal Pigment Epithelium: In Vivo Cell Morphometry, Multispectral Autofluorescence, and Relationship to Cone Mosaic.

Purpose: To characterize in vivo morphometry and multispectral autofluorescence of the retinal pigment epithelial (RPE) cell mosaic and its relationship to cone cell topography across the macula. Methods: RPE cell morphometrics were computed in regularly spaced regions of interest (ROIs) from contiguous short-wavelength autofluorescence (SWAF) and photoreceptor reflectance images collected across the macula in one eye of 10 normal participants (23-65 years) by using adaptive optics scanning light ophthalmoscopy (AOSLO). Infrared autofluorescence (IRAF) images of the RPE were collected with AOSLO in seven normal participants (22-65 years), with participant overlap, and compared to SWAF quantitatively and qualitatively. Results: RPE cell statistics could be analyzed in 84% of SWAF ROIs. RPE cell density consistently decreased with eccentricity from the fovea (participant mean ± SD: 6026 ± 1590 cells/mm2 at fovea; 4552 ± 1370 cells/mm2 and 3757 ± 1290 cells/mm2 at 3.5 mm temporally and nasally, respectively). Mean cone-to-RPE cell ratio decreased rapidly from 16.6 at the foveal center to <5 by 1 mm. IRAF revealed cells in six of seven participants, in agreement with SWAF RPE cell size and location. Differences in cell fluorescent structure, contrast, and visibility beneath vasculature were observed between modalities. Conclusions: Improvements in AOSLO autofluorescence imaging permit efficient visualization of RPE cells with safe light exposures, allowing individual characterization of RPE cell morphometry that is variable between participants. The normative dataset and analysis of RPE cell IRAF and SWAF herein are essential for understanding microscopic characteristics of cell fluorescence and may assist in interpreting disease progression in RPE cells.

Imaging individual neurons in the retinal ganglion cell layer of the living eye.

Although imaging of the living retina with adaptive optics scanning light ophthalmoscopy (AOSLO) provides microscopic access to individual cells, such as photoreceptors, retinal pigment epithelial cells, and blood cells in the retinal vasculature, other important cell classes, such as retinal ganglion cells, have proven much more challenging to image. The near transparency of inner retinal cells is advantageous for vision, as light must pass through them to reach the photoreceptors, but it has prevented them from being directly imaged in vivo. Here we show that the individual somas of neurons within the retinal ganglion cell (RGC) layer can be imaged with a modification of confocal AOSLO, in both monkeys and humans. Human images of RGC layer neurons did not match the quality of monkey images for several reasons, including safety concerns that limited the light levels permissible for human imaging. We also show that the same technique applied to the photoreceptor layer can resolve ambiguity about cone survival in age-related macular degeneration. The capability to noninvasively image RGC layer neurons in the living eye may one day allow for a better understanding of diseases, such as glaucoma, and accelerate the development of therapeutic strategies that aim to protect these cells. This method may also prove useful for imaging other structures, such as neurons in the brain.

Generalized diffractive optical elements with asymmetric harmonic response and phase control.

We report a method to generate phase-only diffractive beam splitters allowing asymmetry of the target diffracted orders, as well as providing a tailored phase difference between the diffracted orders. We apply a well-established design method that requires the determination of a set of numerical parameters, and avoids the use of image iterative algorithms. As a result, a phase lookup table is determined that can be used for any situation where a first-order (blazed) diffractive element is modified to produce higher orders with desired intensity and/or phase relation. As examples, we demonstrate the phase difference control on triplicators, as well as on other generalized diffractive elements like bifocal Fresnel lenses and phase masks for the generation of vortex beams. Results are experimentally demonstrated by encoding the calculated phase pattern onto parallel-aligned liquid crystal spatial light modulators.