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Horizon scanning has been used to identify opportunities and risks presented by 20 emerging issues in the field of biological engineering.

Convolutional neural networks and graph partitioning algorithms can be combined into an easy-to-use tool for segmentation of cells in dense plant tissue volumes imaged with light microscopy.

Responses to a survey reveal how core facilities could improve and encourage good research practices.

Using GPUs for the costly computations in cryo-EM enables structure determination in mere days on a single workstation.

A smartphone app incorporating clinical prediction models using patient-specific and location-specific data sources in a modular approach could predict viral-only etiology of diarrhea in children under five in Bangladesh and Mali.

ZAF (Zebrafish Automated Feeder) is the first fully automated, easy to build, and open source fish feeder designed for small and medium sized labs of which there are an estimated 3250 in 100 countries working with Zebrafish alone today.

Compiling public datasets into a single, centralised repository and linking directly to analytical software completely transforms the scale and scope of causal inference across the phenome.

The NetPyNE software tool provides a framework to efficiently develop, simulate, optimize and analyze experimentally grounded neural models spanning the molecular, cellular and circuit scales.

The interplay of the host metabolic reprogramming, its negative association with antiviral biological signaling pathways and the IFN-mediated host antiviral mechanism during Crimean–Congo hemorrhagic fever orthonairovirus (CCHFV) infection could provide attractive options for therapeutic intervention of CCHF.

Open source software enables neuroscientists to integrate single neuron or synaptic-resolution datasets from different imaging modalities to analyse morphology and connectivity at the scale of whole brains and connectomes.