Name: Image Acquisition for Ex Vivo Optical Coherence Tomography (OCT) and Scanning Laser Ophthalmoscopy (SLO)
Uploaded: 2023-05-26T14:30:00
Description: Watch this Scientific Journal Video about Image Acquisition for Ex Vivo Optical Coherence Tomography OCT and Scanning Laser Ophthalmoscopy SLO at JoVE.com

The video demonstrates the process of conducting laser ophthalmoscopy and optical coherence tomography (OCT) imaging of eye samples. It outlines equipment setup, patient data entry, image acquisition, and analysis of various macular conditions, including age-related macular degeneration, using advanced imaging techniques for detailed examination.

image acquisition for ex vivo optical coherence tomography (oct) and scanning laser ophthalmoscopy (slo) 

Imágenes multimodales basadas en OCT de ojos de donantes humanos para la investigación de la DMAE

Fifteen years of managing neovascular age-related macular degeneration (AMD) with anti-VEGF therapy under the guidance of optical coherence tomography (OCT) has offered new insights into the progression sequence and microarchitecture of this prevalent cause of vision loss. A key recognition is that AMD is a three-dimensional disease involving the neurosensory retina, retinal pigment epithelium (RPE), and choroid. As a result of the OCT imaging of trial patients and the fellow eyes of treated clinic patients, the features of pathology beyond those seen by color fundus photography, a clinical standard for decades, are now recognized. These include intraretinal neovascularization (type 3 macular neovascularization1, formerly angiomatous proliferation), subretinal drusenoid deposits (SDDs, also called reticular pseudodrusen)2, multiple pathways of RPE fate3,4, and intensely gliotic M&#252;ller cells in atrophy5,6.
Model systems lacking maculas (cells and animals) recreate some slices of this complex disease7,8,9. Further success in ameliorating the burden of AMD could come from the discovery and exploration of primary pathology in human eyes, understanding the unique cellular composition of the macula, followed by translation to model systems. This report portrays a three decade collaboration between an academic research laboratory and an eye bank. The goals of the tissue characterization methods described herein are two-fold: 1) to inform evolving diagnostic technology by demonstrating the basis of fundus appearance and imaging signal sources with microscopy, and 2) to classify AMD specimens for targeted (immunohistochemistry) and untargeted molecular discovery techniques (imaging mass spectrometry, IMS, and spatial transcriptomics) that preserve the cone-only fovea and rod-rich para- and perifovea. Such studies could accelerate the translation to clinical OCT, for which a progression sequence and longitudinal follow-up are possible through eye-tracking. This technology, which is designed to monitor treatment effects, registers scans from one clinic visit to the next using retinal vessels. Linking eye-tracked OCT to laboratory results obtained with destructive techniques could provide a new level of prognostic value to molecular findings.
In 1993, the research laboratory captured color photographs of postmortem fundus on film10. This effort was inspired by the superb photomicroscopy and histology of the human peripheral retina by Foos and colleagues11,12,13&#160;and the extensive AMD clinicopathologic correlations by Sarks et al.14,15. Starting in 2009, ex vivo multimodal imaging (MMI) anchored on spectral domain OCT was adopted. This transition was inspired by the similar efforts of others16,17&#160;and especially by the realization that so much of the ultrastructure described by the Sarks was available in three dimensions, over time, in the clinic18,19. The goal was to acquire eyes with attached maculas in a reasonable time frame for well-powered studies of cellular-level phenotypes in the retina, RPE, and choroid. The intent was to move beyond &#34;per eye&#34; statistics to &#34;per lesion type,&#34; a standard influenced by the &#34;vulnerable plaque&#34; concepts from cardiovascular disease20,21.
The protocol in this report reflects experience with nearly 400 pairs of donor eyes accessioned in several streams. In 2011-2014, the Project MACULA website of AMD histopathology was created, which includes layer thicknesses and annotations from 142 archived specimens. These eyes were preserved from 1996-2012 in a glutaraldehyde-paraformaldehyde fixative for high-resolution epoxy-resin histology and electron microscopy. All the fundi had been photographed in color when received and were reimaged by OCT just prior to histology. An eye holder originally designed for optic nerve studies22&#160;was used to accommodate an 8 mm diameter full-thickness tissue punch centered on the fovea. OCT B-scans through the foveal center and a site 2 mm superior, corresponding to histology at the same levels, were uploaded to the website, plus a color fundus photograph. The choice of the OCT planes was dictated by the prominence of AMD pathology under the fovea23&#160;and the prominence of SDDs in rod-rich areas superior to the fovea24,25.
Starting in 2013, eyes imaged with OCT-anchored MMI during life were available for direct clinicopathologic correlations. Most (7 of 10 donors) involved patients at a retina referral practice (author: K.B.F.), which offered an advanced directive registry for patients interested in donating their eyes after death for research purposes. The eyes were recovered and preserved by the local eye bank, transferred to the laboratory, and prepared in the same way as the Project MACULA eyes. Pre-mortem clinical OCT volumes were seamlessly read in the laboratory, thus aligning the pathology features seen during life with the features seen under the microscope26.
Starting in 2014, prospective eye collection began by screening for AMD in donor eyes without a clinical history but preserved during a defined time limit (6 h). For this purpose, the eye holder was modified to accommodate a whole globe. This reduced the chance of detachment around the cut edges of the previously used 8 mm punch. The eyes were preserved in 4% buffered paraformaldehyde for immunohistochemistry and transferred to 1% the next day for long-term storage. In 2016-2017 (pre-pandemic), 184 eyes from 90 donors were recovered. The statistics and images in this report are generated from this series. During the pandemic era (2020 lockdowns and aftermath), prospective collections for transcriptomics and IMS collaborations continued at a reduced pace, essentially using the 2014 methods.
Other methods for donor eye assessment are available. The Minnesota Grading System (MGS)27,28&#160;is based on the AREDS clinical system for color fundus photography29. The limitations of this method include the combining of atrophic and neovascular AMD into one stage of &#34;late AMD&#34;. Further, the MGS entails the removal of the neurosensory retina before the photo-documentation of the RPE choroid. This step dislodges SDDs to varying degrees30,31&#160;and removes the spatial correspondence of the outer retina and its support system. Thus, efforts to link metabolic demand and signaling from the retina to pathology in the RPE-choroid may be impeded. The Utah System implemented MMI using ex vivo color photography and OCT to categorize eyes destined for dissection into regions for RNA and protein extractions32. Although preferable to whole eyecup extractions, the 3 mm diameter area at the highest risk for AMD progression33,34&#160;represents only 25% of a 6 mm diameter fovea-centered punch. Thus, techniques that can localize findings in reference to the fovea, such as serial sectioning for immunohistochemistry, are advantageous.

Autor destacado: Imágenes multimodales ex vivo basadas en OCT de ojos de donantes humanos para la investigación de la degeneración macular relacionada con la edad  

Ex Vivo Imágenes multimodales basadas en OCT de ojos de donantes humanos para la investigación de la degeneración macular relacionada con la edad

This protocol enables new treatments and preventions for age-related macular degeneration or AMD. This is the largest disease with a central neurodegeneration and yet we think it's the most approachable because of the precise structure of the eye and the availability of cellular-level clinical imaging of the retina. The neovascular complications of the underlying disease of AMD have been treated successfully for 15 years in the 15%of patients who have it.Recently, the FDA approved the first drug for the end stage of the underlying disease. Single-cell RNA sequencing has revealed the molecular repertoire of the 100-plus cell types in the retina and supporting choroidal vasculature. Eye-tracked optical coherence tomography or OCT has enabled us to glimpse a detailed cellular-level progression sequence in the clinic.Existing cell and animal model systems for AMD research are non-predictive of human pathology and progression risk. This impedes the development of new treatments and preventions. Our lab contributed many top-level findings about AMD, including the early loss of broad photoreceptors required for night vision.It was also observed that better preserved maculas with attached neurosensory retinas are directly relevant to clinical OCT imaging. Many parts of AMD pathology became visible with clinical OCT which shows cross-sectional views of the retina and choroid. The OCT results of human donor eyes can be directly compared to findings in clinical imaging.If laboratories could emulate clinical imaging standards by using OCT to characterize eyes before assays and laboratory findings like gene expression or proteomics and leverage the longitudinal timeline of clinical imaging to focus on the most informative risk indicators.

Watch this Scientific Journal Video about Image Acquisition for Ex Vivo Optical Coherence Tomography OCT and Scanning Laser Ophthalmoscopy SLO at JoVE.com

Image Acquisition for Ex Vivo Optical Coherence Tomography (OCT) and Scanning Laser Ophthalmoscopy (SLO)   

Adquisición de imágenes para tomografía de coherencia óptica (OCT) ex vivo y oftalmoscopia láser de barrido (SLO) 

Para comenzar, encienda el instrumento de oftalmoscopia láser. Coloque la cabeza OCT moviendo toda la unidad y elevando su altura. Enfoca la imagen girando la perilla y, a continuación, bloquea la posición de la cabeza girando el tornillo de pulgar.Inserte la muestra ocular en el soporte. Ajuste manualmente la posición de los ojos en el soporte y estabilícela con espaciadores sin sangrar la esclerótica. Oriente el soporte para que mire hacia arriba el músculo recto superior.Después de abrir el software de visualización y análisis patentado para el dispositivo OCT, aparecerá una lista de pacientes indexada por un número de código interno en la columna izquierda. Seleccione el icono de nuevo paciente y complete la información de datos del paciente antes de hacer clic en Aceptar. Una vez hecho esto, seleccione el operador y el estudio en el menú desplegable.Después de ver una pantalla en blanco, presione el botón amarillo en el panel de control para iniciar la adquisición de imágenes. Seleccione IR más OCT en el módulo de control. Permita que el láser adquiera una imagen SLO en vivo del fondo de ojo y el escaneo OCT-B.Manipule el cabezal láser OCT para adquirir una posición relativa y enfoque con una perilla negra en la unidad. Gire el disco negro redondo en el panel de control para ajustar la intensidad. Usa el disco negro para promediar 100 fotogramas.Una vez que el fondo de ojo está enfocado, el escaneo OCT-B aparece en el tercio superior de la pantalla. Utilice el cursor para mover la línea azul presente en la imagen del fondo de ojo para centrar la fóvea, antes de presionar adquirir. Seleccione IR y la configuración de volumen en el módulo de control para adquirir los volúmenes OCT.Ajuste todos los controles de OCT y la configuración de escaneo. Una vez que la vista del fondo de ojo de reflectancia del infrarrojo cercano esté cubierta de líneas azules de escaneo B, vuelva a verificar la posición de OCT en la ventana superior derecha y haga clic en "adquirir" en el módulo de control para completar el escaneo de volumen. Una vez completada la adquisición de la imagen, seleccione salir "para guardar la imagen.Después del procesamiento, la imagen aparecerá en la pantalla. Para comenzar la oftalmoscopia con láser de barrido, lleve el globo ocular colocado en el soporte al oftalmoscopio láser de barrido. En el oftalmoscopio, seleccione la posición R.Luego, seleccione el modo IR para alinear y orientar el globo. Oriente el cabezal de la cámara. Enfoca la imagen girando la perilla.Gire y bloquee la posición de la cabeza con el tornillo de pulgar. Luego, ajuste la palanca negra en la posición R.Una vez enfocada la imagen, mueva la perilla selectora de R a A.Seleccione ICGA, 100% de intensidad, un campo de visión de 30 grados e imágenes monofásicas. Después de presionar el disco negro para promediar, seleccione adquirir.Las imágenes ex vivo de mácula poco notable obtenidas de un donante, revelaron una mácula poco notable y vasos coroides grandes hiporreflectantes con una banda reflectante RPE BL Brooks entre los dos. La imagen multimodal ex-vivo de una mácula con degeneración macular relacionada con la edad intermedia temprana, o DMAE, reveló una vista de cerca de la fóvea que muestra hiperpigmentación correspondiente a la lesión viteliforme. En la DMAE intermedia temprana, las características visibles incluían drusas blandas con una línea hiporreflectante en la base, un foco hiperreflectante, depósitos drusenoideos subretinianos y cambio viteliforme.Del mismo modo, se estudiaron la mácula con DMAE atrófica y la mácula con atrofia macular secundaria a DMAE neovascular. Además, la imagen de OCT ex-vivo de los ojos del donante facilitó el estudio de artefactos comunes en tejidos postmortem.

Research

JoVE Journal

Neuroscience

Image Acquisition for Ex Vivo Optical Coherence Tomography (OCT) and Scanning Laser Ophthalmoscopy (SLO) 

Ex Vivo OCT-Based Multimodal Imaging of Human Donor Eyes for Research into Age-Related Macular Degeneration

A progression sequence for age-related macular degeneration (AMD) learned from optical coherence tomography (OCT)-based multimodal (MMI) clinical imaging ...