Quantitative Analysis of Cell Membrane Tension in Time-Series Imaging and A Minimal Lattice Model of Single Cell Motion

Cell membrane tension directly influences various cellular functions. In this study, we developed a method to estimate surface tension from time-series data. We obtained the curvature-velocity relationship from time-series of binarized cell shape images, and the effective surface tension term was calculated from linear regression. During the process, we observed an S-shaped pattern in the curvature-velocity relationship. To understand the dynamics, we constructed a minimal lattice model describing single-cell motion. The model consists of surface tension and protrusion formation, and the characteristic parameters are obtained from experimental observations. We found that similar patterns emerged in the curvature-velocity relationship.

Publication Details

Journal
ArXiv.org
Published
2025-04-21
Primary Topic
Advanced Combinatorial Mathematics
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article
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article

Quantitative Analysis of Cell Membrane Tension in Time-Series Imaging and A Minimal Lattice Model of Single Cell Motion

ArXiv.org
Advanced Combinatorial Mathematics
article

Quantitative Analysis of Cell Membrane Tension in Time-Series Imaging and A Minimal Lattice Model of Single Cell Motion

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Abstract

Cell membrane tension directly influences various cellular functions. In this study, we developed a method to estimate surface tension from time-series data. We obtained the curvature-velocity relationship from time-series of binarized cell shape images, and the effective surface tension term was calculated from linear regression. During the process, we observed an S-shaped pattern in the curvature-velocity relationship. To understand the dynamics, we constructed a minimal lattice model describing single-cell motion. The model consists of surface tension and protrusion formation, and the characteristic parameters are obtained from experimental observations. We found that similar patterns emerged in the curvature-velocity relationship.

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