Descriptive imaging analysis of Glioblastoma-associated vascular morphology in a single murine brain slice

Glioblastoma is characterized by pronounced spatial heterogeneity in vascular structure, which is often assessed using imaging-based approaches. In this study, we present a descriptive analysis of vascular morphology within a single murine brain section containing a tumor region, using confocal microscopy and image-based quantification. A single brain slice (n = 1) was selected for detailed analysis, and spatially resolved measurements were obtained across contralateral, peritumoral, and intratumoral regions using tile-based segmentation and processing workflows implemented in Fiji (ImageJ). Across this specimen, regional variations in vascular-associated metrics, including the CD31-positive area and skeletonized network features, were observed. The intratumoral region exhibited higher apparent vascular density and altered structural characteristics relative to the surrounding regions, while the peritumoral zone showed intermediate patterns. These observations are consistent with previously reported spatial heterogeneity in tumor-associated vasculature, although no statistical inference can be made due to the single-sample design. This work is intended as an exploratory and methodological case study demonstrating a reproducible pipeline for spatial quantification of vascular features in confocal brain images. The findings are descriptive and hypothesis-generating, highlighting patterns that may inform future studies with appropriate biological replication and statistical power.