AI RESEARCH
Sampling-Aware 3D Spatial Analysis in Multiplexed Imaging
arXiv CS.CV
•
ArXi:2604.07890v1 Announce Type: new Highly multiplexed microscopy enables rich spatial characterization of tissues at single-cell resolution, yet most analyses rely on two-dimensional sections despite inherently three-dimensional tissue organization. Acquiring dense volumetric data in spatial proteomics remains costly and technically challenging, leaving practitioners to choose between 2D sections or 3D serial sections under limited imaging budgets. In this work, we study how sampling geometry impacts the stability of commonly used spatial statistics, and we.