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. 2023 Aug 25;11:1209542. doi: 10.3389/fcell.2023.1209542

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Copyright © 2023 Harriot, Altair Morris, Vanegas, Kallenbach, Pinto, Joca, Moutin, Shi, Ursitti, Grosberg and Ward.

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) and the copyright owner(s) 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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Automated image selection for myofiber analysis (A) Each z-slice is binarized and compared with the binarized maximum intensity projection (max-IP). (B) Within the current z-slice pixels with sufficient intensity for analysis are logged as true. The total number of true pixels in the current z-slice is compared as a ratio between true pixels in the max-IP. (C) A representative selection shows the fiber area of the fourth z-slice (outlined in orange) was less than 60% of the max-IP area whereas (D) the fiber area of 17th z-slice exceeded the 60% threshold. (E) A representative plot of the z-slices to be included in analysis based on the user defined threshold (nthresh = 0.6).