Data for paper 'Shape matters: Inferring the motility of confluent cells from static images' (Soft Matter, 2025)

This dataset accompanies the research article “Shape Matters: Inferring the motility of confluent cells from static images” (Soft Matter, 2025). The data was generated using simulations based on the Cellular Potts model, a computational framework widely used to study collective cell behavior and tissue morphogenesis. Feature data The simulations model a confluent layer of cells with subpopulations that are characterized by a different motility. Simulations were run for 6 different conditions (see labeling in the table below) and with different number of high-motility (Na) and low-motility cells. High-motility cells Low-motility cells A kappa = 1500 kappa = 0 B kappa = 1500 kappa = 150 C kappa = 750 kappa = 150 D kappa = 500 kappa = 150 E kappa = 375 kappa = 150 F kappa = 300 kappa = 150 From each individual cell in the simulations, we extracted an extensive list of features (see Table 1 in the manuscript for the definitions). The complete dataset of extracted features is available in the folders of this repository. File Naming Convention:Files are named using the format: A/<x>M/ML_data_<x>M_<y>.pkl Where: <x> indicates the number of high-motility cells (Na) <y> denotes the index of the independent simulation replicate Machine Learning results The features are used in a machine-learning model. This model uses the features to generate a classification report. The machine-learning model has used either the complete data set (All) or a subset of the features (e.g. Local_and_Shape). The results of these model calculations are stored in the ML folder. File Naming Convention: Files are named using the format: ML/A/<subset>/on_<sim_info>_trained Where: <subset> indicates which subset of the data has been used <sim_info> indicates what training set has been used (e.g. itself = same training/testing, 1 = trained on simulations with 1 high-motility cell) For each condition, the 20 independent classification report are provided.