Hi Everyone, I have had great success training a StarDist model on my own data. Now I’d like to use the nuclear segmentation for further classification.
My images are like this:
This is a fluorescent multi-channel image of brain stained with DAPI and other markers. I used StarDist to find the nuclei and then I annotated those regions in the other channels using ImageJ’s ROI Group tools. Now I have an annotated data set I could use to train classifiers to the other channels. I want to classify only the regions found using StarDist, not start with the other channels and go from there.
Does anyone have any suggestions as to a tool I could use to do that?
I see all the stuff at ZeroCostDL4Mic, but I don’t see the workflow I am proposing.
Thanks in advance for your time and suggestions! John