Hello,

I am using flowWorkspace to import some flow cytometry data I gated with FlowJo into R:

flowjo_to_gatingset(ws, name= "All Samples",  execute = TRUE)

Then I tried to use ggcyto to get a histogram of DAPI channel:

ggcyto(gh[2], aes(x = `DAPI-A`), subset = "Lymphocytes") + geom_density(aes(y = ..count..),fill = "Blue", alpha = 0.2)

As you can see, the values on x-axis are not correct. So next I tried scaling the axis:

ggcyto(gh[2], aes(x = `DAPI-A`), subset = "Lymphocytes") + geom_density(aes(y = ..count..),fill = "Blue", alpha = 0.2)   + scale_x_flowjo_biexp(maxValue = 262144, widthBasis = -1000, pos = 4.2, neg = 0)

At this point I was wondering whether somehow the data got messed up during import. so next I tried using autoplot:

autoplot(gh[2], gate = "Lymphocytes", bins = 128)

Using autoplot the values for DAPI channel are depicted correctly. I have done a lot of reading the vignettes for ggcyto and flowWorkspace and googleing but I just can't figure it out. It seems like the transformation of the values for DAPI channel simply isn't correct. I tried manually at first but it gave me the exact same results as you can see in the above histograms. Then I tried using the "execute = TRUE" option with the flowjotogatingset. But it still doesn't work properly as you can see.

Can anyone tell me what I am doing wrong?

Thanks a lot!

I could be incorrect but I think that you need:

ggcyto(gh[2], aes(x = `DAPI-A`), subset = 'Lymphocytes') +
  geom_density(aes(y = ..count..), fill = 'Blue', alpha = 0.2) +
  axis_x_inverse_trans()

Let me know if that works.

Kevin