Fig. 7: Example illustrating how ZeroCostDL4Mic notebook can be used together.
From: Democratising deep learning for microscopy with ZeroCostDL4Mic
Figure highlighting how ZeroCostDL4Mic notebooks can be combined to create a data analysis pipeline. Here, we wanted to automatically track the migration pattern of DCIS.COM cells labelled with lifeact-RFP. Therefore, we first used pix2pix to predict the actin staining into nuclei staining (as in Fig. 6c) and StarDist to detect the nuclei. From the StarDist prediction, cells were tracked automatically using TrackMate38 (as in Fig. 2d; see also Supplementary Movie 11). A representative field-of-view is displayed.
