I’ve been exploring using the deep learning segmenter to segment whole cells that express a membrane-GFP label. It worked much better than I expected considering the segmentation workflow I used to generate training data wasn’t designed for this purpose. However, I’m looking for ways to improve my segmentation result.
Has anyone tried to do something like this before? I noticed in the demo notebook “Bridging the gap between binary image (segmentation) and analysis” that nuclear/cell segmentation workflows are being created. I know they haven’t been released yet, but I was wondering if the developer or anyone else who has tried this has any insights into how to use this tool for whole cell segmentation.