A good FIB-SEM data stack can contain a few thousands pictures. It is very tricky and annoying process to segment them all manually. Which software do you use (real practical experience with big data) for such tasks?
You can also try Dragonfly (https://www.theobjects.com/dragonfly/index.html) from Object Research Systems, it is free for non commercial use.
Dragonfly has many segmentation tools from active shape to deep neural networks. The following video, (https://www.youtube.com/watch?v=1WVlskyuw94) is a deep learning tutorial.
Do not hesitate to contact me if you want more information.
Thanks for the useful list of software. Did you use them all? I meant an answer from personal practice like "I prefer software ABCDE, because it works very well for membranes and cell organelles recognition, it has a lot of adjustable parameters and works pretty stable with big pictures...". It is just a dream, I know :)
Thanks Anya. Yep. I use Fiji for filtering and stack registration, then Amira for 3d. Segmentation is the most serious issue, last time I have segmented 800 pictures manually, that was terrible! :-)
You can also try Dragonfly (https://www.theobjects.com/dragonfly/index.html) from Object Research Systems, it is free for non commercial use.
Dragonfly has many segmentation tools from active shape to deep neural networks. The following video, (https://www.youtube.com/watch?v=1WVlskyuw94) is a deep learning tutorial.
Do not hesitate to contact me if you want more information.