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This content will become publicly available on December 1, 2025

Title: Morphometric analysis of actin networks
The organization of cytoskeletal elements is pivotal for coordinating intracellular transport in eukaryotic cells. Several quantitative measures based on image analysis have been proposed to characterize morphometric features of fluorescently labeled actin networks. While helpful in detecting differences in actin organization between treatments or genotypes, the accuracy of these measures could not be rigorously assessed due to a lack of ground-truth data to which they could be compared. To overcome this limitation, we utilized coarse-grained computer simulations of actin filaments and cross-linkers to generate synthetic actin networks with varying levels of bundling. We converted the simulated networks into pseudofluorescence images similar to images obtained using confocal microscopy. Using both published and novel analysis procedures, we extracted a series of morphometric parameters and benchmarked them against analogous measures based on the ground-truth actin configurations. Our analysis revealed a set of parameters that reliably reports on actin network density, orientation, ordering, and bundling. Application of these morphometric parameters to root epidermal cells of Arabidopsis thaliana revealed subtle changes in network organization between wild-type and mutant cells. This work provides robust measures that can be used to quantify features of actin networks and characterize changes in actin organization for different experimental conditions.  more » « less
Award ID(s):
1715794
PAR ID:
10575509
Author(s) / Creator(s):
; ; ;
Editor(s):
Zaritsky, Assaf
Publisher / Repository:
American Society for Cell Biology
Date Published:
Journal Name:
Molecular Biology of the Cell
Volume:
35
Issue:
12
ISSN:
1059-1524
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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