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Multimodal healthy eyes

Last updated August 2023
Last updated August 2023

Tags:Clinical study dataRetinal photoNW400NW500MaestroOptical coherence tomograohyAxial lengthVisual fields

This dataset comprises a set of 356 individuals without eye disease, as labeled by clinical experts from one site. Imaging from several devices is available, including the NW400, NW500, and Maestro, and visual field data from the TEMPO device. Clinical data including visual acuity, intraocular pressure, central corneal thickness, axial length data, and ocular ICD-10 codes are also available.

4

Locations

356

Subjects

712

Eyes

2.2K

Images

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Dataset Overview

Dataset attributesDetails
Publishing Frequency

Snapshot

Last Updated

2024

Geographic Coverage

USA

Locations

4

Devices

Maestro (Topcon Corp., Tokyo, Japan), TRC-NW400 (Topcon Corp., Tokyo, Japan), NW500 (Topcon Corp., Tokyo, Japan), TEMPO (CREWT Medical Systems Inc., Tokyo, Japan), Aladdin (Topcon Corp., Tokyo, Japan)

Image Formats

DICOM

Details

Age, Gender, Race, Ethnicity

scan size, scan resolution, fixation, TopQ image quality, OCT focus mode, model name, fovea position, disc center position  

Disc: TSNIT circle (4 sector, 12 sector, 36 sector), disc topography (e.g. disc / cup / rim area and volume, CD ratio, disc diameter)   Macula: Superpixel, 6 sector, and ETDRS grid retinal layer thicknesses

Best corrected distance visual acuity, visual field indices, central corneal thickness, intraocular pressure, axial length 

LabelsDetails
Diagnosis

Normal

Model-generated Data

Fukai score¹

AutoMorph segmentations, image quality scores, vascular metrics²

Retinal pigmentation score³

References

  1. Fukai K, Terauchi R, Noro T, Ogawa S, Watanabe T, Nakagawa T, et al. Real-time risk score for glaucoma mass screening by spectral domain optical coherence tomography: Development and validation. Transl Vis Sci Technol. 2022 Aug 1;11(8):8. 
  2. Zhou Y, Wagner SK, Chia MA, Zhao A, Woodward-Court P, Xu M, et al. AutoMorph: Automated retinal vascular morphology quantification via a deep learning pipeline. Transl Vis Sci Technol. 2022 Jul 8;11(7):12.  
  3. Rajesh AE, Olvera-Barrios A, Warwick AN, Wu Y, Stuart KV, Biradar MI, et al. Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology. Nat Commun. 2025 Jan 2;16(1):1–14. 

Dataset Overview

Dataset attributes

Publishing Frequency

Snapshot

Last Updated

2024

Geographic Coverage

USA

Locations

4

Devices

Maestro (Topcon Corp., Tokyo, Japan), TRC-NW400 (Topcon Corp., Tokyo, Japan), NW500 (Topcon Corp., Tokyo, Japan), TEMPO (CREWT Medical Systems Inc., Tokyo, Japan), Aladdin (Topcon Corp., Tokyo, Japan)

Image Formats

DICOM

Metadata

Demographic

Age, Gender, Race, Ethnicity

Image Metadata

scan size, scan resolution, fixation, TopQ image quality, OCT focus mode, model name, fovea position, disc center position  

OCT Analysis

Disc: TSNIT circle (4 sector, 12 sector, 36 sector), disc topography (e.g. disc / cup / rim area and volume, CD ratio, disc diameter)   Macula: Superpixel, 6 sector, and ETDRS grid retinal layer thicknesses

Clinical data

Best corrected distance visual acuity, visual field indices, central corneal thickness, intraocular pressure, axial length 

Labels

Diagnosis

Normal

Model-generated Data

Fukai score¹

AutoMorph segmentations, image quality scores, vascular metrics²

Retinal pigmentation score³

References

  1. Fukai K, Terauchi R, Noro T, Ogawa S, Watanabe T, Nakagawa T, et al. Real-time risk score for glaucoma mass screening by spectral domain optical coherence tomography: Development and validation. Transl Vis Sci Technol. 2022 Aug 1;11(8):8. 
  2. Zhou Y, Wagner SK, Chia MA, Zhao A, Woodward-Court P, Xu M, et al. AutoMorph: Automated retinal vascular morphology quantification via a deep learning pipeline. Transl Vis Sci Technol. 2022 Jul 8;11(7):12.  
  3. Rajesh AE, Olvera-Barrios A, Warwick AN, Wu Y, Stuart KV, Biradar MI, et al. Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology. Nat Commun. 2025 Jan 2;16(1):1–14.