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. 2015 Aug 13;9:20. doi: 10.3389/fninf.2015.00020

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Copyright © 2015 Gray Roncal, Kleissas, Vogelstein, Manavalan, Lillaney, Pekala, Burns, Vogelstein, Priebe, Chevillet and Hager.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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An illustration of the distributed processing paradigm. Raw image data (1) is divided into cuboids (2) based on user-specified parameters, with the necessary padding to perform computation. After processing (3), the annotations are inscribed and uploaded to OCP (4). Finally, processes are merged across block seams (5), using a similarity metric of the userś choice.