Leah Edelstein-keshet A

Mechanochemical Feedback Enables Efficient Navigation in Complex Chemical Gradients

The paper models neutrophil navigation through complex chemical gradients using reaction-diffusion equations for Rac and Rho, showing that feedback mechanisms improve motility through narrow and convoluted paths.

Investigating Local Negative Feedback of Rac Activity by Mathematical Models and Cell Motility Simulations

The paper extends mathematical models of cell migration by incorporating local negative feedback of Rac activity, showing improved response to dynamic guidance cues and noisy gradients.

Predicting and Controlling Collective Fate in Multicellular Systems

The paper develops a framework to predict and control collective fate in multicellular systems by identifying a control regime where a single guide cell can redirect tissue-level organization.

A methodology for morphological feature extraction and unsupervised cell classification

The paper presents an unsupervised machine learning method for cell shape classification from microscopy images using feature extraction and density-based clustering.

A Rho-GTPase based model explains spontaneous collective migration of neural crest cell clusters

The paper develops a Rho-GTPase-based model to explain spontaneous collective migration of neural crest cells through co-attraction and contact inhibition mechanisms.