Does anyone know if there are any unknown/hidden normalizing steps in ilastik - pixel classification training?
Hi, my group is interested in comparing the intensity of flurophores in bacteria between treated samples and our output from ilastik does not show the drastic observed differences between samples. The measured intensity between samples from ilastik training is very close to call, however when we observe the original TIF files in ImageJ we see that there are significant differences. If there are normalizing steps that we are unaware of this would help us clear up any discrepancies between the groups.
Any information is greatly appreciated!