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.
Rapid, label-free, volumetric, and automated assessment of the immunological synapse dynamics is demonstrated by combining optical diffraction tomography and deep-learning-based segmentation, providing a new option for immunological research.
Resting-state capillary blood flow and oxygenation are more homogeneous in the deeper cortical layers, underpinning an important mechanism by which the microvascular network adapts to an increased local oxidative metabolism.
In the visual system, three rules guide the thalamocortical connectivity of cortical fast-spike interneurons and are key to understand the potent and broadly tuned feed-forward inhibition that they generate.
A new intricate reciprocity between microbiology and physics results in collective protection from desiccation through differential formation of stable microdroplets around bacterial aggregates on surfaces drying under moderate humidity.
The first genomic view of beetle luciferase evolution indicates evolutionary independence of luciferase between fireflies and click-beetles, and provide valuable datasets which will accelerate the discovery of new biotechnological tools.