Automated Analysis and Classification of Histological Tissue Features by
Multi-dimensional Microscopic Molecular Profiling

Daniel P Riordan, Sushama Varma, Robert B West, Patrick O Brown
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Histological Images

TA-161 slice 547.51 Stained for lyve-1
TA-161 slice 547.53 Stained for SPARC
TA-161 slice 547.55 Stained for cd34
TA-161 slice 547.57 Stained for ace
TA-161 slice 547.59 Stained for mmp11
TA-161 slice 547.61 Stained for frizzled 7
TA-161 slice 547.63 Stained for cd105
TA-161 slice 547.65 Stained for col4a2
TA-161 slice 547.67 Stained for ctgf
TA-161 slice 547.69 Stained for betacatenin
TA-161 slice 547.71 Stained for dkk3
TA-161 slice 547.73 Stained for cd44
TA-161 slice 547.75 Stained for desmin
TA-161 slice 547.77 Stained for collagen1
TA-161 slice 547.79 Stained for sma
TA-161 slice 547.82 H&E
TA-161 slice 547.83 Alcian blue
TA-161 slice 547.84 PAS
TA-161 slice 547.85 Verhoeff's Elastic Stain
TA-161 slice 547.90 Color coded manual labeling of histological features for each sample
TA-161 slice 547.91 Automated histological feature prediction results based on MMMP clissifications using internal feature
TA-161 slice 547.92 Automated histological feature prediction results based on MMMP clissifications using inter-sample feature
TA-161 slice 547.93 Visualization of K-Means Clustering (k=100) of multi-dimensional MMMP datasets for each sample
TA-161 slice 547.94 Comparison of Nuclei Recognition using segmemtation or annotation-based identification, color coded as in Fig. S5
TA-161 slice 547.95 Color Keys used for Histological Feature Annotations