Breaking the bottleneck: semi-automated quantification of actin filament dynamics

Actin reconstitution assays visualized by total internal reflection fluorescence (TIRF) microscopy have been crucial for defining mechanisms of filament assembly, disassembly, and higher-order organization. Yet quantitative analysis remains slow, labor-intensive, and subject to investigator bias. We developed SMAUG (Single filament Measurement and Analysis Using a GUI), a semi-automated image analysis interface that extends TSOAX filament segmentation and tracking with user-verified trace analysis of time-lapse TIRF images. SMAUG generates kymographs and quantifies filament nucleation, elongation, pausing, junctions, and filament-associated fluorescence while retaining measurements at the individual filament level. We tested the approach across actin reconstitution assays producing concentration-dependent polymerization, formin-stimulated elongation, capping-induced arrest, Arp2/3 branching, and fascin-mediated bundling. SMAUG reproduced manual measurement while reducing analysis time and revealed where dense networks and bundled filaments require user validation. Together, TSOAX and SMAUG provide a semi-automated approach for quantitative analysis of actin filament dynamics.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-06
DOI
https://doi.org/10.64898/2026.11.05.764262
Primary Topic
Cell Image Analysis Techniques
Type
preprint
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preprint

Breaking the bottleneck: semi-automated quantification of actin filament dynamics

David Rutkowski, Dimitrios Vavylonis, Jessica L. Henty-Ridilla, Alexander D. Nobles et al.
bioRxiv (Cold Spring Harbor Laboratory)
Cell Image Analysis Techniques
preprint

Breaking the bottleneck: semi-automated quantification of actin filament dynamics

David Rutkowski, Dimitrios Vavylonis, Jessica L. Henty-Ridilla, Alexander D. Nobles, Laura M. Haney, Amanda Davenport, Cody R. Belden
preprint en

Abstract

Actin reconstitution assays visualized by total internal reflection fluorescence (TIRF) microscopy have been crucial for defining mechanisms of filament assembly, disassembly, and higher-order organization. Yet quantitative analysis remains slow, labor-intensive, and subject to investigator bias. We developed SMAUG (Single filament Measurement and Analysis Using a GUI), a semi-automated image analysis interface that extends TSOAX filament segmentation and tracking with user-verified trace analysis of time-lapse TIRF images. SMAUG generates kymographs and quantifies filament nucleation, elongation, pausing, junctions, and filament-associated fluorescence while retaining measurements at the individual filament level. We tested the approach across actin reconstitution assays producing concentration-dependent polymerization, formin-stimulated elongation, capping-induced arrest, Arp2/3 branching, and fascin-mediated bundling. SMAUG reproduced manual measurement while reducing analysis time and revealed where dense networks and bundled filaments require user validation. Together, TSOAX and SMAUG provide a semi-automated approach for quantitative analysis of actin filament dynamics.

bioRxiv (Cold Spring Harbor Laboratory)
Lehigh University (US), SUNY Upstate Medical University (US)
Cell Image Analysis Techniques
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