Findings from a novel study in Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, suggest that using a specialized diffusion weighted MRI scan to monitor the spatial pattern of individual ...

A new computational framework called CellART unifies cell segmentation and cell-type annotation across high-resolution ...

Researchers have developed REBOSEP, a computational workflow that maps gene expression as a continuous signal across tissue ...

The reason why so many tree species can coexist in species-rich forests has long been a subject of debate in ecology. This question is key to understanding the mechanisms governing the dynamics and ...

Many spatial biology researchers rely on two-dimensional tools, which section the cellular architecture and processes occurring within 3D tissues into flat layers. Three-dimensional multiomic analysis ...

Researchers report AI spatial analysis of H&E slides can better predict pancreatic cancer recurrence risk than volume-based methods.

The spatial twin research at UQ's VisLab combines 3D scanning, point clouds and arrays of environmental and spatial sensors.

Spatial data is any type of data that directly or indirectly references a specific geographical area or location. It is most commonly processed and analyzed by geographical information systems (GISes) ...