Yasmine Meroz

This study shows how climbing plants use self-generated motion and mechanical properties to detect and respond to environmental supports.

The paper develops a model of distributed light sensing in plants that predicts perceptual distortions due to nonlinear signal integration, validated through experiments on sunflower seedlings.

SAP provides a transferable, training-free framework for automated segmentation of plant time-series imagery across species and conditions.

The paper studies how apical hook curvature in plants is maintained through local morphogen signaling and global curvature feedback during growth.

This paper develops a camera-based system to measure weak bi-axial forces in freely moving plant organs, demonstrating its use on bean shoots during circumnutation.

This study compares the mechanical efficiency of root growth and push-driven penetration strategies in Arabidopsis thaliana roots using experiments and simulations.

This study develops a mathematical model to explain how plant shoots integrate temporal history of light and gravity stimuli to guide growth.