For benchmarking, we ran the six trained models on the cellular test dataset and the synthetic ring dataset using the ZeroCostDL4Mic platform. For the ring recognition in the Septin-9c/c and Septin-9–/– cell data we exported the models from the ZeroCostDL4Mic platform and ran them using the StarDist Fiji plugin. The outputs generated by the models were mask images of the same size of the corresponding test image.
Do you have any questions about this protocol?
Post your question to gather feedback from the community. We will also invite the authors of this article to respond.