MOI Calculator
Virus Type
Total Cells ?
Vessel Preset (click to auto-fill cells)
Virus Titer (PFU/mL) ?
Titer Unit
Desired MOI ?
Tip: At MOI = 1, only ~63% of cells are infected (Poisson). Use MOI 3 for ~95% or MOI 5 for ~99.3% infection efficiency.
50.0
µL virus stock needed
for MOI 5
99.3%
Cells Infected
0.7%
Uninfected
95.9%
Multi-Infected
5.0
MOI
Poisson Infection Distribution
MOI vs Infection Efficiency
Poisson Probability Table
k (viruses/cell) P(k) % of Cells Cells (est.)
Vessel Scaling Reference
Vessel Typical Cells Volume Needed

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Frequently Asked Questions

What is multiplicity of infection (MOI)?

Multiplicity of infection (MOI) is the ratio of infectious virus particles to target cells. An MOI of 1 means one infectious particle per cell on average. Because viruses distribute randomly among cells following a Poisson distribution, at MOI = 1 approximately 63.2% of cells receive at least one virus, while 36.8% remain uninfected. Higher MOI values increase the fraction of infected cells but also increase the proportion of multiply-infected cells.

How do I calculate MOI from virus titer and cell count?

MOI = (virus titer in PFU/mL or TU/mL) × (inoculum volume in mL) / (total number of cells). For example, if you add 0.5 mL of a 1 × 108 PFU/mL stock to 1 × 106 cells, the MOI = (1e8 × 0.5) / 1e6 = 50. To calculate the volume needed for a target MOI, rearrange: Volume (mL) = (MOI × cell count) / titer.

What MOI should I use for lentiviral transduction?

For lentiviral transduction of easy-to-transduce cells like HEK293T, an MOI of 1-5 is typically sufficient. For primary cells, T cells, or stem cells, higher MOIs of 5-20 may be needed due to lower permissiveness. For CAR-T manufacturing, MOI 3-10 is common. Start with a range (e.g., MOI 1, 5, 10, 20) and optimize by measuring transduction efficiency via flow cytometry for reporter gene expression at 48-72 hours post-transduction.

Why does the Poisson distribution apply to viral infection?

Virus particles distribute randomly among cells during infection, which follows a Poisson process. The probability that a cell receives exactly k virus particles is P(k) = e-MOI × MOIk / k!. This means even at MOI = 1, some cells get 0, some get 1, some get 2 or more viruses. The key prediction: the fraction of uninfected cells = e-MOI, so at MOI 1 about 36.8% escape infection. This is why MOI 3-5 is needed for near-complete infection (95-99%).

What is the difference between MOI based on PFU and MOI based on vg?

PFU-based MOI (plaque-forming units) counts only infectious particles, while vg-based MOI (viral genomes) counts all genome-containing particles regardless of infectivity. For AAV, the vg-to-infectious particle ratio is typically 100:1 to 10,000:1, meaning an MOI of 100,000 vg/cell might correspond to only 10-1,000 infectious events per cell. Always specify which unit your MOI is based on. For lentivirus and adenovirus, TU/mL (transducing units) is the standard functional titer unit.

How do I scale MOI calculations from well plates to bioreactors?

MOI is cell-number-based, so scaling is straightforward: keep the same MOI and multiply virus volume proportionally. Volume = MOI × total_cells / titer. If you used MOI 5 with 1 × 106 cells in a 6-well plate, scaling to 2 × 109 cells in a 10 L bioreactor requires proportionally more stock. Key scale-up considerations: virus stock concentration (you may need to concentrate for large volumes), addition time, mixing uniformity, and adsorption kinetics at higher cell densities.