Practical fluorescence reconstruction microscopy for large samples and low-magnification imaging
Fig 1
High-content, high-throughput labeling of fluorescent features.
(A) Sample large tissue of MDCK cells imaged via transmitted light (DIC). The scale bar represents 1 mm. A sub-region of the large tissue is enlarged in B. (B) A representative image which is given as input to the U-Net processing framework. The scale bar represents 50 μm. (C) The predicted fluorescent features (cell-cell junctions and nuclei) produced by the U-Net, corresponding to the same spatial region as in B. (D) Violin plot of accuracy score results from all experimental datasets. N > 4400 raw images and > 20,000 sub-images for all datasets; see S1 Table for summary statistics. Here, the accuracy score (P) represents the Pearson’s correlation coefficient between ground truth images containing positive examples of features and their matched reconstructed images. See Methods.