Fig. 2
From: Extending digital PCR analysis by modelling quantification cycle data
Density plot of simulated data superimposed on model density. Simulation was performed using the rcq function from the R package edpcr for N = 106 partitions with E = .95, E 1 = .85, ν = 1.2, μ = 1.5 and c = 25.5 (a location parameter used to calculate A). This used Eq. 3 to select N(0) and repeated applications of Eq. 4 to simulate subsequent growth. Cq values were calculated based on exponential growth between the cycles immediately before and after the threshold was crossed. The density plot of the simulated Cq values uses a Gaussian kernel with a bandwidth of 0.01. The model density is calculated using Eq. 5 with the same parameters