Extended Data Fig. 7: Basic perisomatic feature patterns maintained across a second dataset from a different animal.

a) A cutout of a second dataset, which covers layer 2/3 to 6 of cortex, but is only 50 µm thick. Somas contained within this volume (n = 1,944) were analyzed in a manner identical to the larger dataset and soma, nucleus and PSS features were extracted. Excitatory nuclei highlighted in light blue and inhibitory nuclei in magenta. b) Feature to feature Pearson correlations exhibit similar correlation structure between the two datasets. c) A joint UMAP of the perisomatic features with the MICrONS dataset data shown in gray, and the smaller dataset covered by manually identified cell classes overlaid. In general, the same overall patterns and degree of separation amongst layers and cell classes was observed. Note: pericytes were manually excluded from this dataset due to the lower quality of nucleus and somatic segmentations. Extensive detailed subclass cell type validation is not possible in this dataset due to the truncation of axons and dendrites.