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. 2020 Jun 17;7:182. doi: 10.1038/s41597-020-0509-4

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 5 — Output figures generated by the ‘towersOfGold’ script for Dataset 3 (Cell #3^44–50) reflecting the analysis workflow. (a) After the dataset was read and resized (optional), borders of tower masks were sampled, centroids of gold beads computed and displayed. (b) Each tower’s principal directions are computed and displayed: red and green dots represent tower directions (after a random flip); black dots (surrounded by squares) represent direction cluster centers, obtained via mean shift. (c) ‘Upward’ direction (identifying the tips of stereocilia) are determined and displayed. (d) Gold beads are associated with the towers using either ‘nearest neighbors’ or ‘distance transform’ function. (e) Towers and all associated gold beads are aligned to the upward direction, positioning all towers parallel to each other. (f) Top view of towers, along with tower IDs, after data transformation setting up the upward direction as [0 0 1], and the bottom plane set to z = 0. Same image as in Fig. 4a.