EPySeg

EPySeg automates segmentation of 2D epithelial tissues using deep learning to enable quantitative analysis of epithelial cell morphology during morphogenesis.

Key Features:

• Deep Learning-Based Segmentation: EPySeg uses deep learning algorithms to perform automatic segmentation of 2D epithelial tissues.
• Training on Annotated Datasets: Models are trained on annotated datasets to recognize epithelial cells.
• Cell-Level Output: The method produces segmentations of individual epithelial cells, reducing the need for manual correction.

Scientific Applications:

• Developmental Biology: Segmentation of epithelial tissues to analyze morphogenetic events and tissue-scale organization.

Methodology:

Training deep learning models on annotated datasets to recognize and automatically segment epithelial cells in 2D tissue images.