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Daytona

Manufactured by Optos
Sourced in United Kingdom

The Optos Daytona is a digital imaging device designed for ophthalmic applications. It captures ultra-widefield images of the retina, providing a comprehensive view of the peripheral retina.

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16 protocols using daytona

1

Retrospective Analysis of Ophthalmic UWF Images

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A total of 30,446 UWF images were retrospectively obtained from visitors presenting for ophthalmic examinations between 1 May 2016 and 15 August 2022, at Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University. Images insufficient for interpretation were excluded, including (1) Poor-view images, referring to images with significant deficiencies in focus or illumination, visibility of the optic disc, or over one-third of the field obscured by the eyelashes or eyelids. (2) Poor-position images, referring to images with significantly off-center optic disc and macula due to incorrect gazing in the image capture process. The UWF images were captured using an OPTOS nonmydriatic camera (OPTOS Daytona, Dunfermline, United Kingdom) with 200-degree fields of view. The subjects underwent the examinations without mydriasis. All of the UWF images were anonymized before being involved in this study.
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2

Comprehensive Visual Assessment Protocol

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Probands and other family members were primarily assessed at the Research Foundation of the Royal Victoria Eye and Ear Hospital (Dublin, Ireland) and the Mater Misericordiae University Hospital (Dublin, Ireland). With informed consent, best-corrected visual acuity was assessed using revised 2000 Early Treatment Diabetic Retinopathy Study (ETDRS) charts (Precision Vision, La Salle, IL, USA). Colour vision was examined using the Lanthony desaturated D-15 panel (Gulden Ophthalmics, Elkins Park, PA, USA) under standardised lighting conditions. Goldmann perimetry was used to assess the peripheral visual fields to the IV4e, I4e and 04e targets. Full-field electroretinograms were performed according to the International Society for Clinical Electrophysiology of Vision (ISCEV) standards [7 (link)] using a Roland Consult RETI-port retiscan (Brandenburg an der Havel, Germany). Fundus colour and autofluorescence photography was performed using a Topcon CRC50DX (Topcon Great Britain Ltd., Berkshire, England) or Optos Daytona (Optos plc, Dunfermline, Scotland). Spectral domain optical coherence tomography was performed using a Cirrus HD-OCT (Carl Zeiss Meditec, Berlin, Germany).
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3

Comprehensive Evaluation of CMVR Etiology

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Clinical data were reviewed by two independent senior ophthalmologists, including initial symptoms (chief complaint), duration, ophthalmologic examination, laboratory examination, previous diagnosis, previous treatment, and outcomes. CMVR lesions were documented through ultrawide-field (UWF) fundus imaging systems (Optos Daytona®; Optos PLC, Dunfermline, United Kingdom). Baseline data including sex, age, and comorbidities were recorded. Laboratory examinations included polymerase chain reaction (PCR) for HIV viral load, and flow cytometry for CD4+ T lymphocytes. HIV infection was diagnosed using Western Blot analysis.
To obtain etiological evidence and exclude dual infection, we conducted standard aqueous tap in the operating room. PCR tests were conducted on the aqueous humor specimen for herpes simplex virus (HSV), varicella zoster virus (VZV), cytomegalovirus (CMV), and Epstein–Barr virus (EBV).
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4

Deidentified Retinal Imaging Dataset

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A total of 36,070 UWF images (19,684 individuals) were collected from the CMAAI, which is a union of medical organisations, computer science research groups and related enterprises in the field of AI with the aim of improving the research and translational applications of AI in medicine. The CMAAI dataset includes 15322 images obtained from Shenzhen Eye Hospital, 7387 images from Huazhong screening program, 4929 images from Eastern Guangdong Eye Study and 8432 images from Southern China Guangming Screening program. These images were from individuals who presented for retinopathy examinations, ophthalmology consultations, or routine ophthalmic health evaluations, and were obtained between June 2016 and September 2019 using an OPTOS nonmydriatic camera (OPTOS Daytona, Dunfermline, UK) and 200-degree fields of view. Participants were examined without mydriasis. All UWF images were deidentified before they were transferred to research investigators. This study was approved by the Institutional Review Board of ZOC (identifier, 2019KYPJ107) and conducted in accordance with the tenets of the Declaration of Helsinki. Informed consent was exempted due to the retrospective nature of the
data collection and the use of deidentified UWF images.
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5

Retinal Imaging and Grading for Diabetic Retinopathy

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Fundus photography was done using a widefield imaging device (Optos Daytona, Optos PLC, Dunfermline, UK), and OCT-A with Cirrus 6000OCT-Angiography scans (Zeiss OCT, Carl Zeiss Meditec, Jena, Germany) with 3 × 3 mm and 6 × 6 mm foveal-centered scan patterns at an acquisition frequency of 100,000 A-scans per second, a wavelength centered on 840 nm, and axial and transverse resolution of 5 µm and 12 µm, respectively. Motion signal contrast was captured using complex-based OCT-microangiography (OMAG) technology software that coanalyses both signal phase and signal intensity. All images were produced by a single appropriately trained operator (‘TR’). The built-in device software segmented the superficial retinal plexus and deep retinal plexus, and segmentation was checked after each image acquisition and manually corrected if necessary.
Any OCT-A images presenting significant artefacts (motion, projection, doubling of the retinal vessels, stretching defect, etc.) were excluded.
Furthermore, all images with an SSI < 7 were excluded. The workflow for all images used eye-tracking software, a signal motion correction algorithm, and an integrated projection artefact correction tool.
DR staging was conducted by two skilled ophthalmologists (‘TR’ & ‘PG’) working blind on the ultra-widefield imaging and was based on the Airlie House classification system [13 (link)].
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6

Ultra-Widefield Retinal Imaging for Diabetic Retinopathy

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This retrospective cross-sectional study involved patients evaluated through a DR screening program at Zuckerberg San Francisco General Hospital and Trauma Center from April 2018 to September 2019. This study was approved by the Human Research Protection Program at the University of California, San Francisco and followed the tenets of the Declaration of Helsinki.
Adult (18 years or older) patients with type 1 or type 2 DM presenting for DR screening underwent ultra-widefield fundus photography (Optos Daytona, Optos PLC, Dunfermline, UK) and OCTA imaging during the visit. All eyes without detectable DR on the ultra-widefield fundus images were considered for inclusion in the study. Eyes with a history of ocular trauma or any form of ocular disease, with the exception of cataract, were excluded.
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7

Deep Learning for Retinopathy Screening

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To develop the cascaded deep learning system, a total of 11,087 UWF images were retrospectively obtained from patients presenting for retinopathy examinations or undergoing a routine ophthalmic health evaluation between November 2016 and January 2019 at Shenzhen Eye Hospital using an OPTOS nonmydriatic camera (OPTOS Daytona, Dunefermline, UK) and 200° fields of view. Patients underwent this examination without mydriasis. All images were deidentified prior to transfer to research investigators. This study was approved by the Institutional Review Board of Zhongshan Ophthalmic Centre (Guangzhou, Guangdong, China) and adhered to the tenets of the Declaration of Helsinki.
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8

Retinal Imaging Dataset for AI Research

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A total of 16,827 macula-centered UWF images (11,339 individuals) were obtained from the Chinese Medical Alliance for Artificial Intelligence (CMAAI). The CMAAI is a union of medical institutions, computer science research groups, and enterprises in the field of artificial intelligence (AI) with the purpose of promoting the research and translational application of AI in medicine. The CMAAI data sets include individuals who presented for retinopathy examinations and needed ophthalmology consultation because of retinopathies caused by various systemic diseases such as hypertension, hematologic diseases, and preeclampsia and those who were undergoing routine ophthalmic health evaluations. The images were captured between June 2016 and April 2019 using an OPTOS nonmydriatic camera (OPTOS Daytona, Dunefermline, UK) and 200-degree fields of view. All participants were examined without mydriasis. All images were deidentified prior to transfer to research investigators. This study was approved by the Institutional Review Board of Zhongshan Ophthalmic Center (ZOC) and adhered to the tenets of the Declaration of Helsinki.
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9

UWF Imaging for Ophthalmology Research

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Nonmydriatic stereoscopic 200° UWF pseudocolor images were acquired using the Optos Daytona (Optos Plc, Dunfermline, Scotoland, United Kingdom) in India and China and the Optos P200Tx (Optos Plc) in Los Angeles and Canada. UWF images were deidentified, exported, and sent to the Doheny Image Reading and Research Laboratory for analysis.
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10

Comprehensive Retinopathy Evaluation Protocol

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Electronic medical records of all RP patients were reviewed to collect demographic data, detailed history, BCVA, refractive error, slit-lamp biomicroscopy, and fundus findings on indirect ophthalmoscopy (disc, macula, pigmentation, retinal pigment epithelial (RPE) mottling and vascular changes). Features on color fundus photograph, fundus autofluorescence (FAF) (FF450 IR camera, Carl Zeiss Meditec AG, Jena, Hiedelberg, Germany), ultra-widefield pseudocolor images using the Optos, Daytona (Optos plc, Dunfermline, Scotland, UK), spectralis optical coherence tomography wherever available were also recorded. Electroretinogram (ERG) was done as per International Society of Clinical Electrophysiology of Vision[8 ] guidelines using the Espion E3 Diagnosys LLC (Lowell, MA, USA) or VERIS (version 6.4.2; Electro Diagnostic Imaging Inc., Redwood City, CA, USA) was documented.
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