After some work and following the other discussions on the forum (@Minh you saved us), i managed to create a pipeline for recognizing every fiber in a muscle coloured with Laminin.
CSAworking20x.cpproj (435.0 KB)
Unfortunately the images that i have to analyse are not clear and are really different from each-other.
I need a program that can analyse in a solid and accurate way a wide range of images without problem, but i am stuck in the fine-tuning of all the various parameters of my pipeline.
Probably, due to my inexperience, i over-complicated the pipeline, bringing on me this hell.
That’s why i ask the community if you can help me tuning the parameters and make the pipeline more flexible.
I put here a link to some images that are explicative.
For example the image 126 has an “hole” that excluded from the identification reducing the “allowed”, but the other images have fiber so big to get lost with this method.
The images will be available for a short time and i ask you to avoid posting them in the eventual answers to this topic!
Thanks in advance!