Identifying cellular identities is a key use case in single-cell transcriptomics. While machine learning has been leveraged to automate cell annotation predictions for some time, there has been little ...

Cells are a fundamental unit of biological organization, and identifying them in imaging data—cell segmentation—is a critical task for various cellular imaging experiments. Although deep learning ...

A simulated cell in the early stages of division. Left half shows cytoplasm (blue cubes), mRNA degradation machinery molecules (pink), and sugar transporters (brown). Right half adds the membrane ...