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Figure 2 | BMC Medical Imaging

Figure 2

From: Automated recognition of cell phenotypes in histology images based on membrane- and nuclei-targeting biomarkers

Figure 2

Sample synthetic images used to validate the computational image analysis algorithms used in the manuscript. First, a three-dimensional tissue block was generated randomly within a 128 μm × 128 μm × 64 m volume. Random tissue maps were obtained as 9 horizontal cross sections of this tissue block at 4 μm intervals near the vertical center, where the membranes, cytoplasms, and the nuclei of Ecad+/PR+ and Ecad-/PR- cells were marked with different labels. The associated Ecad-stained and PR-stained cross section images were generated by assigning colors from among those observed in the reference tumoroid cross section images followed by smoothing (bottom row). Overall, 5 such tissue blocks were generated, producing a total of 45 random tissue maps and respectively stained synthetic images. Image acquisition was modeled at 40×.

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