This dataset is biting me in the a$$ for some time, hopfully this great community will provide insights.
I’m looking for a holisitic solution for this dataset, ideally with fiji alone.
Thanks to the helpers!
Sample image and/or code
run("Duplicate...", "duplicate"); selectWindow("segm-1"); run("Invert", "stack"); setAutoThreshold("Default dark"); //setThreshold(129, 255); setOption("BlackBackground", true); run("Convert to Mask", "method=Default background=Dark black"); run("Fill Holes", "stack"); run("Analyze Particles...", "display clear summarize add in_situ stack");
- What is the image about?
This is a time series of ice crystals in grayscale RGB.
The file was then segmented with ilastik 1.3.3, pixel classification workflow to difine the crystals.
The segmentation result was exported to further analysis with fiji as .tif (filename: segm.).
What you see is the thresholded images with their detected ROIs of each image (on top of each other).
- What information are you interested in getting from this image?
What I’m trying to achieve is the change of particle area over time.
What stops you from proceeding?
fiji doesn’t do it automatically upon analayze particles.
What have you tried already?
Ilastik 1.3.3 - I’m aware of the object calssification workflow, but I was asked to provide a simple macro, if possible.
Have you found any related forum topics?
No, just trackmate,and I haven’t seen the paramaters I need over there.