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© Research
Publication : 2020 IEEE International Conference on Image Processing (ICIP)

Modeling Shape Dynamics During Cell Motility in Microscopy Videos

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in 2020 IEEE International Conference on Image Processing (ICIP) - 30 Oct 2020

Ximu Deng; Rituparna Sarkar; Elisabeth Labruyere; Jean-Christophe Olivo-Marin; Anuj Srivastava

Link to DOI – 10.1109/ICIP40778.2020.9191273.

2020 IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates, 2020,

Statistical analysis of shape evolution during cell migration is important for gaining insights into biological processes. This paper develops a time-series model for temporal evolution of cellular shapes during cell motility. It uses elastic shape analysis to represent and analyze shapes of cell boundaries (as planar closed curves), thus separating cell shape changes from cell kinematics. Specifically, it utilizes Transported Square-Root Velocity Field (TSRVF), to map non-Euclidean shape sequences into a Euclidean time series. It then uses PCA to reduce Euclidean dimensions and imposes a Vector Auto-Regression (VAR) model on the resulting low-dimensional time series. Finally, it presents some results from VAR-based statistical analysis: estimation of model parameters and diagnostics, synthesis of new shape sequences, and predictions of future shapes given past shapes.

https://ieeexplore.ieee.org/abstract/document/9191273/metrics#metrics