Open schienstockd opened 1 month ago
Hello! Looks like maybe your metadata wasn't correct (from the text "2024-08-06 | 13:02:03.294 :: WARNING:root:[im_info.py:195] :: File is an ImageJ type, but has weird metadata, found dimension sizes: {'X': 1.0, 'Y': 1.0, 'Z': None, 'T': None}", which led to weird parameters being chosen during filtering. Are your pixels really 1x1 micron? If no, change these to the correct values before running. If yes, I would suggest imaging at a higher resolution.
Let me know if this works!
ps. If you did change it to the correct dimensions, please let me know what they are, and email me (austin.e.lefebvre+nellie@gmail.com) your file, so i can figure out what's going on.
I was hoping to test this framework for a different kind of image and see what happens. It's confocal images from human cornea. The resolution is that low though ..
I emailed you a file. Let me know if that is totally out of your scope as your framework seems to be focussed on organelles and probably higher resolution images.
Ahhh totally makes sense! I'm planning on adding an advanced section to tweak the "expected structure size" so that anyone (who knows what they're doing) can mess with the parameters for cases like this. If you're familiar with Python though, you should be able to mess with the parameters within this file (https://github.com/aelefebv/nellie/blob/main/nellie/segmentation/filtering.py) and specifically change the "min_radius_um" and "max_radius_um" parameters.
In the meantime though, I'll keep this issue open so I remember to add that advanced section into the GUI.
Hello,
I tried to run the preprocessing on a 2D time image and get the following output. Am I doing anything wrong?