I’m attaching my current pipeline and a couple of images. As you can see from the pipeline, I am using that very module (MeaureCorrelation). One of the handy outputs that I obtain from this pipeline is a spreadsheet with correlation values for each object in the image. In Cell Profiler Analyst, I can open an image from ImageViewer, then choose “show cell numbers” under “View”. Ideally, I’d like to be able to “highlight” those cells in that image which have positive correlation values (showing nuclear translocation).
You may wonder why I’m only using one measurement in my pipeline, even though there are 3 suggested in the “Image-based screening using subcellular localization of FOXO1A in osteosarcoma cells: A computer exercise using CellProfiler & CellProfiler Analyst software” paper of which you are an author. I was not able to put together a good enough parameter setup for the identifying the cell body as a “secondary object”. The closest I got was Propagation, Manual, Regularization factor of 0.02. Since I’m primarily interested in nuclear localization, I figure that the one measurement is OK, though I could be mistaken (wouldn’t be the first time).
Thank you for the help.