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Quantification

Cell Density Mapping

Spatial patterns of cell populations across brain regions

Definition
The computation of cell counts per unit area within atlas-defined brain regions, producing heatmaps or tabular summaries that reveal spatial patterns of marker expression across the entire brain.
Region-Normalized
Counts per area eliminates region-size bias
Atlas-Powered
Regions defined automatically by atlas registration

From Counts to Maps

Cell density mapping transforms raw cell detection results into meaningful spatial data:

  1. Detect — nuclear segmentation identifies all cells in the section
  2. Classify — marker-positive cells are distinguished from negative
  3. Register — atlas registration assigns each cell to a brain region
  4. Quantify — count positive cells and divide by region area to get density
  5. Visualize — color-code brain regions by density to create heatmaps
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