Multiplicity of infection sets how many viral particles each cell sees, and it determines everything from transduction efficiency to cytopathic effect. This calculator gives the MOI from your titre, volume, and cell number, and uses the Poisson distribution to estimate how many cells actually get infected.
How it works
The MOI is total infectious particles divided by target cells:
particles = titre (pfu/mL) x volume (mL)
MOI = particles / cells
Because particles distribute over cells at random, the fraction of cells that receive at least one particle follows the Poisson distribution:
fraction infected = 1 - e^(-MOI)
To plan an experiment, enter a target MOI and the tool inverts this: the volume to add is target MOI x cells / titre.
Tips and example
A 1e8 pfu/mL stock, 0.5 mL added to 500,000 cells, gives 5e7 / 5e5 = MOI 100, essentially saturating infection. The Poisson behaviour is the part people forget: at MOI 1, e^-1 is about 0.37, so roughly 37 percent of cells stay uninfected even though there is one particle per cell on average. For near-complete infection aim for MOI 5 to 10; for single-copy integration in transduction studies use a low MOI, often below 0.3, so most infected cells receive just one particle.