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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. The result is a heatmap or a table that shows spatial patterns of marker expression across the entire brain.
Region-Normalized
Counting per unit area removes region-size bias
Atlas-Defined
Regions defined automatically by atlas registration

From Counts to Maps

Cell density mapping turns raw cell detection results into spatial data in five steps:

  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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