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. 2017 Aug 8;11:235. doi: 10.3389/fncel.2017.00235

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Copyright © 2017 Fernández-Arjona, Grondona, Granados-Durán, Fernández-Llebrez and López-Ávalos.

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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Pre-processing of cell digital image. After random selection of cells from the tissue picture (A,B), the noise was removed by filtering the overall background to get a shape extraction (C). Next, the image was changed to grayscale (D), and then transformed into a binary image (E) using the same threshold for all pictures. (F) The binary image was edited to clear the background and to join all branches, so that the cell image would be formed by a continuous set of pixels. Finally, a filled shape (G) and its pairwise outline shape (H) were used for morphological parameters measures.