Quantitative analysis of plant and animal morphogenesis requires accurate segmentation of
individual cells in volumetric images of growing organs. In the last years, deep learning has …

A fundamental question in biology is how morphogenesis integrates the multitude of
processes that act at different scales, ranging from the molecular control of gene expression …

Cell segmentation is an important task in the field of image processing, widely used in the
life sciences and medical fields. Traditional methods are mainly based on pixel intensity and …

This study aims to understand the 3D cellular growth patterns associated with Arabidopsis
ovule morphogenesis using 3D digital image analysis. Machine learning-based image …

The ovule of Arabidopsis thaliana is a unique model system to study tissue morphogenesis
since the organ exhibits a curved shape (anatropy). The present study aims to generate a …