Image process framework to easily analyse fluorescent glioblastoma cells in pattern of neurons.
This tool proposes several worflow processes for analyzing cancer cells behaviors on a neuronal network.
Have a look at the project’s Cancer Feature Analysis to get more information about the image analysis tools.
In Fiji window, open Plugins > Macros > Startup Macros… and copy and past the code >> here <<.
Change the language into IJ1 Macro and save as .ijm file in the Fiji.app folder > macros > toolsets.
Select the tool in the “More Tools” menu (>>)
The neuronal mat is converted into a simple network and tumor cells are added on the image. It provides information on intercellular contact and cellular morphology. 
Using the shape of the cell migration, one cell can be selected and tracked. 
Processing steps to binarize the stack and allows its analysis with already developped plugins. 
After delimitation of the pattern, the binarized area occupied by the spheroid is quantified. By relating the area of the spheroid to that of the pattern, we obtain a measure of the confluence.
Guyon, J., Strale, P-O., Romero-Garmendia, I., Bikfalvi, A., Studer, V. and Daubon, T.
Co-culture of Glioblastoma Stem-like Cells on Patterned Neurons to Study Migration and Cellular Interactions. DOI: 10.3791/62213.
This toolset was developed on window 10, and tested using ImageJ v1.53. Many features require installation of command line tools that may present future challenges on different operating systems.