Supplementary Figure 5: Membrane segmentation using transfer learning on a pre-trained model.

The 1fm model was trained for 16,000 iterations before segmenting an image from a different dataset (upper left panel). 2000 additional iterations of training were performed using training data of a new image dataset to adapt the trained model to the new image parameters (staining intensity and new features in the image). The segmentation quality substantially improved (lower middle panel), whereas it remained faulty with continued training on the first dataset without domain adaption (lower left panel). Similar improvements are seen for all trained models (1fm, 3fm domain adaption from 14,454 iterations until 15,757 iterations, and 5fm; Fig. 2).