07 August 2020 3 6K Report

I am currently running chromogenic staining of GFAP+ cells (a marker for astrocytes/glia) in rat brain tissue. Our lab has traditionally used Image J for IHC image analysis. Since cell counts are pretty high in each of our regions of interest, automatic counting is preferred, which I have tried in Image J but have achieved little success. It would be nice if there were programs that could use some sort of machine learning to better adjust for small differences in signal or background. Any insights into open access or relatively inexpensive software options would be greatly appreciated!

-Troy

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