Fig. 7

Digital analysis of glial populations near vascular structures. To explore the glial populations' relationship with vascular structures, a digital analysis method was used. First, we identified each vascular structure using CD34 staining. Next, the vascular space outline was created, forming a digital concentric layer at 50 μm intervals. With Halo software, we generated automated tissue analysis markups for cell quantification via the object colocalization algorithm and staining area determination through the area fractionator algorithm, as the inset illustrates. We obtained cell counts and area of positive staining for IBA1 (A, B), GFAP (C, D), and ferritin (E, F), respectively. The gray lines are mean values for each person. With the dashed lines for the ADNC cases and the solid lines for the LATE-NC cases. The color lines show the mean ± SD for call the cases. Analysis of the overall staining area revealed similar trends to the cell counts, with the most striking difference noted between MVP and SVP in the IBA1-positive cells associated with the blood vessel. The results presented are the mean per case for 20 MVPs and 20 SVPs quantified each time. Scale bars = 25 μm