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. 2023 Feb 2;150(3):dev201008. doi: 10.1242/dev.201008

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© 2023. Published by The Company of Biologists Ltd

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

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Fig. 1. — GliaMorph workflow overview. (A) Using global image-level measurements, we developed a tool to quantify 11 different parameters of MG morphology. (B) Using the zonationTool and applying it to original, segmented and skeletonized data allows insights into apicobasal subcellular feature distributions. (C) Fourier transformation-based analysis allows the assessment of apicobasal subcellular orientation distributions. (D) As GliaMorph is modular in its application, workflow design is easy and flexible to suit user needs. AFT, alignment by Fourier transform; EDM, Euclidean distance map.