Development of an Open-Source Dataset of Flat-Mounted Images for the Murine Oxygen-Induced Retinopathy Model of Ischemic Retinopathy.

Autor:	Marra KV; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA.; Molecular Medicine, The Scripps Research Institute, San Diego, CA, USA., Chen JS; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Robles-Holmes HK; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Ly KB; College of Optometry, Pacific University, Forest Grove, OR, USA., Miller J; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Wei G; Molecular Medicine, The Scripps Research Institute, San Diego, CA, USA., Aguilar E; Molecular Medicine, The Scripps Research Institute, San Diego, CA, USA., Bucher F; Eye Center, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany., Ideguchi Y; Molecular Medicine, The Scripps Research Institute, San Diego, CA, USA., Kalaw FGP; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Lin AC; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Ferrara N; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA., Campbell JP; Casey Eye Institute, Department of Ophthalmology, Oregon Health & Science University, Portland, OR, USA., Friedlander M; Molecular Medicine, The Scripps Research Institute, San Diego, CA, USA., Nudleman E; Shiley Eye Institute, Viterbi Family Department of Ophthalmology, University of California San Diego, San Diego, CA, USA.
Jazyk:	angličtina
Zdroj:	Translational vision science & technology [Transl Vis Sci Technol] 2024 Dec 02; Vol. 13 (12), pp. 4.
DOI:	10.1167/tvst.13.12.4
Abstrakt:	Purpose: To describe an open-source dataset of flat-mounted retinal images and vessel segmentations from mice subject to the oxygen-induced retinopathy (OIR) model. Methods: Flat-mounted retinal images from mice killed at postnatal days 12 (P12), P17, and P25 used in prior OIR studies were compiled. Mice subjected to normoxic conditions were killed at P12, P17, and P25, and their retinas were flat-mounted for imaging. Major blood vessels from the OIR images were manually segmented by four graders (JSC, HKR, KBL, JM), with cross-validation performed to ensure similar grading. Results: Overall, 1170 images were included in this dataset. Of these images, 111 were of normoxic mice retina, and 1048 were mice subject to OIR. The majority of images from OIR mice were obtained at P17. The 50 images obtained from an external dataset, OIRSeg, did not have age labels. All images were manually segmented and used in the training or testing of a previously published deep learning algorithm. Conclusions: This is the first open-source dataset of original and segmented flat-mounted retinal images. The dataset has potential applications for expanding the development of generalizable and larger-scale artificial intelligence and analyses for OIR. This dataset is published online and publicly available at dx.doi.org/10.6084/m9.figshare.23690973. Translational Relevance: This open access dataset serves as a source of raw data for future research involving big data and artificial intelligence research concerning oxygen-induced retinopathy.
Databáze:	MEDLINE
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