Fig. 3: STIFMap predict high elasticity regions within tissues.
a Deconstruction of a CNA- and DAPI-stained image into squares of ~50 × 50 μm. The Young’s Modulus of each square is predicted. b Elasticity predictions are aggregated and overlaid over collagen to produce the overall STIFMap for both a normal TDLU and triple negative breast cancer. c Representative images of immunofluorescent staining for pMLC (top) and activated β1 integrin (bottom) (60 total FOVs from 10 patient samples were imaged). d Scatterplots of STIFMap intensity vs stain intensity for each pixel shown in c indicating the 99th percentile of stain intensity for each STIFMap percentile. e STIFMap percentiles versus the 99th percentile of stain intensity for all acquired fields of view (FOVs). Error bars indicate a 95% confidence interval. n = 60 FOVs from 10 different patient tumor samples. Median Spearman r values activated β1 integrin = 0.696, pMLC = 0.364. f Violin plots of the Spearman correlation for each FOV comparing the 99th percentile of staining intensity versus percentiles of DAPI, predicted elasticity, or collagen stain intensity. Internal gray bars indicate a Box-plot. The box plots indicate the median, and extreme values. n = 60 FOVs from 10 different patient tumor samples. p(Elasticity vs DAPI; p-MLC) = 2.60E−6. p(Elasticity vs Collagen; p-MLC) = 5.28E−6. p(Elasticity vs DAPI; beta1-integrin) = 2.17E−8. p(Elasticity vs Collagen; beta1-integrin) = 2.36E−5. Scale bar, 50 μm. Statistical analyses were performed using two-sided Mann–Whitney U test, ****P < 10−5. Source data are provided as a Source Data file.
