Fig. 6: A semiautomated machine learning-based workflow for segmentation, tracing, and analysis of GBM vasculature in 3D deep images. | Communications Biology

Fig. 6: A semiautomated machine learning-based workflow for segmentation, tracing, and analysis of GBM vasculature in 3D deep images.

From: Optical tissue clearing and machine learning can precisely characterize extravasation and blood vessel architecture in brain tumors

Fig. 6

a 3D rendering of AF647-lectin-labeled tumor vasculature. b 3D rendering of vessel segmentation performed on the dataset in a. c 3D rendering of segmented vessels after postprocessing steps. d 3D rendering of traced GBM vasculature with color-coding according to the vessel diameter, numbers for minimum and maximum vessel diameter are presented in µm. Scale bars, 100 µm. e 3D rendering of AF647-lectin-labeled GBM vasculature (red) with extravasation of TRITC-dextran (green). f Dataset from e with the extravasation spots recognized (colored independently of any attributes) and the vasculature traced. Scale bars, 200 µm.

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