Hi there, great software proving very useful for my experiments. I am working with RGB marking to label tumour lineages. I am trying to create a pipeline for identifying and counting cells of each identifiable label, that is:
Red + Green = Yellow
Red + Blue = Purple
Green + Blue = Cyan
Red + Blue + Green = White
Have tried to paste an image below.
Currently I can quantify differently coloured cells by performing cell analysis for each channel then extract the nuclear mean pixel intensity for each channel for each detected cell. However with this method I get repeats i.e when counting purple cells I detect these with cell analysis in the red and blue channel but they do not always return the same values.
What I am trying to do is to turn the images initially into a 8-bit grey scale image on Imagej and then do a cell analysis on this image to detect all cells irrespective of channel. I would then like to load these detection’s into the mutli-channel image and measure the mean cytoplasm pixel intensity inside the detection’s to avoid having repeated detection’s of the same cells. Would this be possible?
PLeas let me know if any of that was unclear adn I look forward to figuring this out!