An open-source tool based on computational vision and machine learning shows high accuracy and sensitivity in the analysis of ultrasonic vocalizations.

Self-organization based on a feedback loop between cell geometry and division plane positioning plays a central role in the building of tissue architectures in Arabidopsis thaliana embryo through both stereotyped and variable division patterns.

Junction Mapper is a powerful new semi-automated software that provides a fingerprint of cell–cell contact morphometry and receptor density alterations.

A novel automated behavior analysis method for Hydra identifies pre-defined and new behavior types, and reveals a stable behavior repertoire.

An automatic computer vision analysis approach can assist in the diagnosis of rare genetic disorders by using ordinary photographs of patients.

A non-invasive cognitive assistant for blind people endows objects in the environment with voices, allowing users to explore the scene, localize objects, and navigate through a building with minimal training.

DeepEthogram automatically classifies animal behavior videos into researcher-defined behaviors of interest, saving researcher time and enabling more detailed downstream analysis of behavior.

The mechanism of membrane-fusion catalysis in influenza viral infection of target cells is robust against the presence of a large fraction of non-productive viral fusion proteins.

Local deep hypothermia combined with hibernation-mimicking cold protection is neuroprotective in a translatable large animal model of traumatic optic neuropathy.