Fig. 6: Prediction of SIM images from widefield fluorescence images.
From: DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches
Widefield-to-SIM image transformation was performed with CARE for a live E. coli (FM5-95) and b S. aureus (Nile Red) cells. Shown are diffraction-limited widefield images (i) and the magnified regions (ii) indicated by yellow rectangles in (i). WF = widefield; NN = neural network output. (iii) Line profiles correspond to the red lines in the WF images and show a good agreement between prediction and ground truth (bottom panel). Scale bars are 10 µm (i), 1 µm (ii) and 0.5 µm (iii).
