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Spatial

Spatial Distribution Analysis

Understanding where cells are, not just how many

Definition
The quantification of how labeled cells are distributed relative to anatomical landmarks, other cell types, or tissue boundaries, using distance transforms and density kernels to reveal spatial organization beyond simple counts.
Distance Transforms
Measure distance from every cell to a reference structure
Density Kernels
Smooth cell positions into continuous density maps

Beyond Counting

Cell counts per region answer 'how many' but not 'where within the region' or 'relative to what.' Spatial distribution analysis adds:

  • Distance to landmarks — how far are labeled cells from the injection site, ventricle surface, or layer boundary?
  • Cell-cell proximity — do GFP+ neurons cluster near GFAP+ astrocytes?
  • Density gradients — does labeling intensity decay with distance from the source?

StrataQuest's distance maps and proximity areas tools provide these spatial measurements directly from PanoBrain datasets.

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