Deep imaging, machine-learning-based segmentation, and tissue annotation resulted in a developmental series of 3D digital ovules with cellular resolution allowing next-level analysis of the ontogenesis of this complex organ.

The Digital Brain Bank (open.win.ox.ac.uk/DigitalBrainBank) provides curated post-mortem imaging datasets for neuroanatomy, neuropathology, and comparative neuroanatomy investigations, with the first release containing 21 distinctive whole-brain diffusion MRI datasets, alongside microscopy and complementary MRI modalities.

The regulation of gene expression can be either binary (on/off digital regulation) or graded (analog regulation) and these fundamentally different regulatory modes can be integrated to control the expression of the same gene.

A dual-channel image registration pipeline combined with deep-learning inference achieves accurate-and-flexible registration/segmentation/mapping of mouse brain.

The digital 3D-atlas maker will help ascribing neuronal birthdate and neuronal differentiation times upon gene disruption in zebrafish avatars for human diseases, and will allow the integration of the information generated in other laboratories.

A new tool for three-dimensional exploration of adult zebrafish neuroanatomy.

A new pipeline of electron microscopy techniques reduces the time required to visualize genetically targeted neurons and their connections by two orders of magnitude.

MotionTracking is freely available software that can generate multi-scale geometrical models of mammalian tissue and perform quantitative analysis of tissue architecture.

Despite evidence of retinal stretching with eye growth, cone photoreceptor sampling density in the foveal center of humans actually increases with eye length.

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.