A total of 134 STORM images of nuclei labeled with heterochromatin marker (H3K9me3) were included in the human colon tissue dataset, of which 60% were used for training, 30% for testing and 10% for validation. The same testing, training and validation images were used for each network. Additionally, a set of 69 STORM images of nuclei stained with the same marker from mouse prostate tissue (from Myc-driven prostate tumorigenesis mouse model and wild-type mice) were used as an alternate test set for the network models trained on colon tissue data. These datasets include normal tissue and those at different pathological states (low-grade and high-grade precancerous lesions and invasive cancer). As we have previously shown, chromatin compaction becomes progressively more disrupted in carcinogenesis and therefore chromatin texture varies significantly in normal tissue, precancerous lesions, and invasive cancer [7].

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