As subjects might be identifiable by the high-quality OCTA images in the future, the image dataset cannot be made publically available. All participants consented to scientific analysis of the data by the researchers involved but not to public data sharing (according to the consent form approved by the Ethics committee, University of Bonn). The Optical Coherence Tomography Angiography images of all participants cannot be made publicly available as public availability of the data might compromise participant privacy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: The data proving the main findings of the study are contained within the manuscript. Received: SeptemAccepted: FebruPublished: March 20, 2020Ĭopyright: © 2020 Terheyden et al. PLoS ONE 15(3):Įditor: Ireneusz Grulkowski, Nicolaus Copernicus University, POLAND Citation: Terheyden JH, Wintergerst MWM, Falahat P, Berger M, Holz FG, Finger RP (2020) Automated thresholding algorithms outperform manual thresholding in macular optical coherence tomography angiography image analysis.
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