I’m facing a bit of a challenge here. I am trying to segment synaptic vesicles on electron microscopy images of synapses. Basically, they look like small, round vesicles (dark ring, see image 1), but depending on conditions they can also be larger, with a more irregular shape (see image 2). The active zone of the synapse (where vesicles fuse) is the darker interface between the cells, at the bottom of Image 1 and top of Image 2.
What do you think would be the best tool for this? Classical machine learning or deep-learning? I’m more used to the Fiji ecosystem (so that would be classic Analyze particles, Weka segmentation, StarDist plugin…) but I can learn new things too. If someone has time to tackle the challenge and show me how their favorite tool can do it, I’m all eyes and ears. Thanks for the help!