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. 2017 Feb 24;12(2):e0172234. doi: 10.1371/journal.pone.0172234

Fig 1. MMP-2 quantification using advanced software-based digital image analysis.

Fig 1

Image analysis was performed using a pixel classifier based on Bayesian classification. The classifier was trained to identify nuclei (green color) and measure MMP-2 intensity in a three μm perimeter around the nuclei (turquoise color). (A) In normal brain tissue, mainly cells located in and/or around blood vessels showed MMP-2 immunopositivity. (B) The software classifier easily identified all cells for measurement of mean MMP-2 intensity. (C) In some GBMs, most tumor cells had intense MMP-2 staining. (D) Even in densely stained tumors, the software classifier successfully identified all cells for quantification of mean MMP-2 intensity. Scale bar 150 μm.