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

DeepFly3D, a deep learning-based software, measures limb and appendage movements in tethered, behaving Drosophila and enables precise behavioral measurements during neural recordings, stimulation, and other biological experiments.

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

The Time Point Selection (or TPS) method is a general protocol for determining sampling rates for high throughout time series biological studies, that is efficient, cheap, scalable and works well for several different types of molecular data.

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

Both cooperative and competitive associations of actin binding proteins with actin filaments help drive the self-organization of functionally diverse F-actin networks in fission yeast.

Peripheral appearance models emphasising pooling processes that depend on retinal eccentricity will instead need to explore input-dependent grouping and segmentation.

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

Purinergic signaling controls mammalian sperm transport.

Engineering cytokines to exhibit different receptor binding dwell times is a useful strategy to decouple their functional pleiotropy and reduce their toxicity in the clinic.