386-SpatialZ: Reconstructing 3D Cell Atlases

Paper Talk · Jan 9, 2026 · 14m

The paper introduces SpatialZ, a computational framework designed to overcome current hardware limitations in spatial transcriptomics by reconstructing dense 3D tissue models from sparse 2D sections. Conventional methods often result in data gaps between tissue layers, but this new tool uses interpolation algorithms to generate virtual slices, enabling researchers to map gene expression across entire organs. The software includes modules for in silico sectioning, which allows users to view biological structures from any angle, and 3D continuous rendering for visualizing complex molecular…