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This is a DEMO example, based on one image. The 20x images were acquired on the Vectra system of PerkinElmer and analyzed in inForm (>=2.2.0). There are seven different phenotypes present in this example: ‘Melanoma’,‘CD8 + T cell’,‘CD4+ T cell’,‘T regulatory cell’,‘PDL1+ cell’,‘CD3+ T cell’ and ‘other’.
library(ISAT) filename =c("DEMO_cell_seg_data.txt")
cell_names = c( 'Melanoma','CD8 + T cell', 'CD4+ T cell', 'T regulatory cell','PDL1+ cell', 'CD3+ T cell','other')
#calculate distance result for the file
distance_result = findNNs(filename,cell_names)
#calculate density result for the file
density_result=getFileCount(filename)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.