A computational strategy for extracting representative numerical features from 3D microscopy data enables in-depth quantitative analysis of cell and tissue organization through machine learning-driven data integration and context-guided visualization.

Computer visualization techniques developed for video games can be repurposed to enable viewers to explore cells and their environment in three dimensions.

Motor context and mechanosensory feedback together influence how flies control head movements during visually guided flight maneuvers.

WaveMAP is a novel approach that combines nonlinear dimensionality reduction with graph clustering on extracellular waveforms to reveal previously obscured cell type diversity in monkey cortex.

A Plant Cell Atlas that shows the location and organization of molecules at cellular and tissue levels could have far-reaching consequences for plant sciences.

Serotonin, a neurotransmitter mostly studied in relation with emotions, also plays an important role in the control of episodic memories.

A novel type of metabolic syndrome, derived from computational modeling of phenotypic diversity in normal physiological settings, increases the risk of certain complex diseases.

The intermediate region of the hippocampus is critical for strategic goal-directed navigation to the higher-value location, whereas the dorsal hippocampus implements the precise targeting of the goal location.

The software package Ais simplifies automated segmentation in cryo-electron tomography, enabling users to segment, detect particles, and visualize data in a streamlined and accessible workflow.

The ability to accurately predict a protein's structure gives us an entirely new way to annotate the human genome.