The nuclear pathway for auxin perception is responsible for the rapid auxin-induced cell wall acidification and growth of aerial organs of plants.

Combining high-resolution imaging with automated image segmentation and supervised machine learning achieves accurate cellular feature extraction and automated cell type recognition in a large-scale developmental process.

Signals from major hormones and the environment are integrated in the Arabidopsis hypocotyl to control gene expression and plant stem elongation.

The use of network science to quantify the properties of global cellular organization in the plant hypocotyl identifies higher-order properties and plasticity in epidermal cell patterning.

Growing upwards in the young seedling is controlled by two cooperative mechanical mechanisms: cellulose orientation in inner tissues and differential elasticity in epidermal cells.

The examination of the ultra-structure and in vivo dynamics of endocytosis in plants reveal plants unique actin-independent, clathrin-mediated endocytosis mechanisms to overcome their unique physiological properties.

Leaf position, shape and orientation are pre-patterned by cell type boundaries in the shoot meristem.

Models that generate tandem alignments of cell polarities are more readily compatible with the formation of PIN1 polarity patterns in plant leaf buds than the most widely accepted “up-the-gradient” model.

Fluorescent sensors for the hormone abscisic acid have been developed using a high-throughput platform, and used to monitor hormone dynamics in plant roots and leaves.