MOI / Infection Planning Calculator

Enter virus titer, cell count, and desired MOI. Get the exact volume to add, Poisson infection probabilities, and a step-by-step dilution protocol. Data never leaves your browser.

Inoculum PlanningPoisson ModelDilution Protocol

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Load example MOI data to see the full workflow

Virus Type

MOI 5–10 is standard for most cell lines. Polybrene (4–8 µg/mL) improves transduction.

Vessel Format

Max vol: 3.0 mLArea: 9.6 cm²

Parameters

MOI: 5max 100
Advanced settings

Volume Required

Add to each well

15.0 µL

of Lentivirus stock at 1.0 × 10^8 TU/mL

1.5 × 10^6

Total particles

MOI 5

Target ratio

Infection Probabilities

Infected (\u22651)99.3%
Uninfected (0)6.7e-1%
Single hit3.4%
Multiple (\u22652)96.0%

At MOI 5: 99.3% of cells receive ≥1 virus particle

Cell Infection Simulation

0 hits 1 hit 2+ hits

Poisson Distribution — MOI = 5

03.4%18.4%214.0%317.5%417.5%514.6%610.4%76.5%83.6%9101112131415
kP(X=k)%
00.00676.7e-1%
10.03373.4%
20.08428.4%
30.140414.0%
40.175517.5%
50.175517.5%
60.146214.6%
70.104410.4%
80.06536.5%
90.03633.6%
100.01811.8%
110.00828.2e-1%
120.00343.4e-1%
130.00131.3e-1%
140.00054.7e-2%
150.00021.6e-2%

Dilution Protocol

1Add virus stock directly to cells

Virus: 15.0 µLTiter: 1.0 × 10^8
  • Plan viral transductions with precise inoculum volumes
  • Model Poisson infection probabilities at target MOI
  • Support lentivirus, AAV, adenovirus, and phage workflows
  • Calculate cell seeding for desired infection efficiency
  • Determine virus volume needed for multi-well plate formats

Don't use for

  • Calculating titer from raw assay data (use TCID50 tool)
  • Non-viral transfection (different dose-response model)
  • Bacterial infection models (MOI concept differs)

What Is Multiplicity of Infection (MOI)?

Multiplicity of infection (MOI) is the ratio of infectious agents (e.g., virus particles) to infection targets (e.g., cells). It is the single most important parameter in any transduction, infection, or gene delivery experiment.

At MOI = 1, each cell gets an average of one virus particle. However, because particles distribute randomly, the actual number per cell varies. The Poisson distribution describes this: at MOI = 1, about 36.8% of cells receive zero particles, 36.8% receive exactly one, 18.4% receive two, and 6.1% receive three.

The key insight: MOI is an average, not a guarantee. To infect >95% of cells, you need MOI \geq 3. To infect >99%, you need MOI \geq 5. This is why most transduction protocols use MOI 5–10 rather than MOI 1.

The Poisson Model of Viral Infection

The probability that a cell receives exactly k virus particles at a given MOI follows the Poisson distribution:

P(k) = (MOI^k ×\times e^(-MOI)) / k!

This model assumes three things: (1) virus particles are uniformly mixed, (2) each particle has an equal probability of infecting any cell, and (3) particles behave independently. These assumptions hold well in suspension culture with thorough mixing.

In practice, the Poisson model slightly overestimates the uninfected fraction because it assumes ideal mixing. Cell aggregation, surface attachment, and receptor saturation can all cause deviations. Despite this, the Poisson model remains the standard for experiment planning because it provides a reliable conservative estimate.

For adherent cell cultures: add virus in the minimum volume needed to cover cells, then incubate for 1–2 hours before adding full culture medium. This maximizes effective MOI by concentrating virus particles near cells.

Practical Tips for Viral Transduction

Always determine your virus titer experimentally before starting large-scale experiments. Vendor-supplied titers are measured on specific cell lines (often HEK293T) and may not reflect performance on your target cells.

Freeze-thaw cycles reduce lentivirus titer by approximately 50% per cycle. Aliquot virus stocks into single-use volumes immediately after production. Store at -80°C.

For lentiviral transduction, polybrene (hexadimethrine bromide) at 4–8 µg/mL enhances transduction by neutralizing charge repulsion between viral and cell membranes. Some cell types (especially hematopoietic cells) are sensitive to polybrene — test toxicity first or use protamine sulfate as an alternative.

Count cells at the time of infection, not at the time of plating. Cell division between plating and infection changes the actual cell number. For rapidly dividing cells, this can mean a 2-fold difference in 24 hours.

Frequently Asked Questions