New experiments and theory reveal how the ability to see image details depends upon photoreceptor function and eye movements, and how fruit flies (Drosophila) see spatial details beyond the optical limit of their compound eyes.

The ongoing stream of information that comes in through our senses is segmented into distinct neural states at each level of the cortical hierarchy, which underpins our experience of distinct events.

ORAI1 ion channel lipid modification is required for a proper immune synapse formation and T cell activation.

Heterogeneity in cytoplasmic calcium concentration alongside B cell activation and differentiation is measured intravitally using an interdisciplinary imaging approach and novel numerical analysis.

Heterogeneity of neural responses in mouse cortex correlates better with visual detection than mean population activity.

The information stored in glycans is interpreted and read by cell surface-exposed lectin receptors, and with information theory, the formal framework is set for how to analyze such complex single-cell data.

Deep neural networks can be trained to automatically find mechanistic models which quantitatively agree with experimental data, providing new opportunities for building and visualizing interpretable models of neural dynamics.

Sequencing mRNA directly with nanopores can reveal the authentic combinations of multiple mRNA processing events in full-length mRNA molecules in addition to identifying base modifications.

The cryo-electron microscopy structures of inactive and active states of calcium-sensing receptor (CaSR) reveal the activation mechanisms of CaSR.