Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 46 tok/s Pro
GPT-5 Medium 23 tok/s Pro
GPT-5 High 32 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 179 tok/s Pro
GPT OSS 120B 435 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

Quantifying T cell morphodynamics and migration in 3D collagen matrices (2401.03595v6)

Published 7 Jan 2024 in q-bio.CB

Abstract: T cells undergo large shape changes (morphodynamics) when migrating. While progress has been made elucidating the molecular basis of cell migration, statistical characterization of morphodynamics and migration has been limited, particularly in physiologically realistic 3D environments. A previous study (H. Cavanagh et al., J. R. Soc. Interface 19: 20220081) found discrete states of dynamics as well as periodic oscillations of shape. However, we show that these results are due to artifacts of the analysis methods. Here, we present a revised analysis of the data, applying a method based on an underdamped Langevin equation. We find that different shape modes have different correlation times. We also find novel non-Gaussian effects. This study provides a framework in which quantitative comparisons of cell morphodynamics and migration can be made, e.g. between different biological conditions or mechanistic models.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com
Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.