Viral Titer Calculator
Compute viral titer using validated scientific equations. See step-by-step derivations, unit analysis, and reference values.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Viral Titer Calculator
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Formula: Titer (PFU/mL) = Average Plaque Count / (Volume Plated x Dilution Factor)
Worked example โ Viral titer = 4 x 10^8 PFU/mL (Log10 = 8.60)
Formula
Titer (PFU/mL) = Average Plaque Count / (Volume Plated x Dilution Factor)
Where Average Plaque Count is the mean number of plaques across replicate plates, Volume Plated is the amount of diluted virus added to each plate in mL, and Dilution Factor is the fold-dilution of the sample (e.g., 10^-6). The result gives plaque-forming units per mL of the original undiluted stock.
Worked Examples
Example 1: Standard Plaque Assay Titer
Problem:You count 42 and 38 plaques on duplicate plates from the 10^-6 dilution, with 0.1 mL plated per plate. What is the viral titer?
Solution:Average plaques = (42 + 38) / 2 = 40 Dilution factor = 10^-6 = 0.000001 Titer = Average plaques / (Volume x Dilution) Titer = 40 / (0.1 mL x 10^-6) Titer = 40 / 1 x 10^-7 Titer = 4 x 10^8 PFU/mL
Result:Viral titer = 4 x 10^8 PFU/mL (Log10 = 8.60)
Example 2: MOI Calculation from Titer
Problem:Your virus stock titer is 2 x 10^9 PFU/mL. You want to infect 1 x 10^6 cells at MOI = 5. How much virus stock do you need?
Solution:Total PFU needed = MOI x Number of cells Total PFU = 5 x 1 x 10^6 = 5 x 10^6 PFU Volume of stock = Total PFU / Titer Volume = 5 x 10^6 / 2 x 10^9 Volume = 2.5 x 10^-3 mL = 2.5 mcL
Result:Add 2.5 mcL of virus stock to 1 million cells for MOI = 5
Frequently Asked Questions
What is viral titer and why is it important?
Viral titer is a measurement of the concentration of infectious virus particles in a sample, typically expressed as plaque-forming units per milliliter (PFU/mL). It is a critical parameter in virology because it determines how much virus stock to use in experiments. Knowing the titer allows researchers to infect cells at a precise multiplicity of infection (MOI), ensure reproducible experimental conditions, compare virus stocks between preparations, and determine the potency of vaccine preparations. Without accurate titer determination, dose-response experiments, viral kinetics studies, and vaccine development cannot be properly conducted.
How is a plaque assay performed?
A plaque assay involves infecting a monolayer of susceptible cells with serially diluted virus samples, then overlaying with semi-solid medium (agarose or methylcellulose) to restrict virus spread to neighboring cells only. As the virus replicates and kills cells, clear zones called plaques form in the cell monolayer. After 2-14 days of incubation (depending on the virus), cells are fixed and stained (typically with crystal violet), and plaques are counted manually. Each plaque theoretically originates from a single infectious virus particle. Plates with 10-100 plaques are considered countable, and the titer is calculated from the average plaque count, dilution factor, and volume plated.
What is the difference between PFU, TCID50, and MOI?
PFU (Plaque-Forming Units) measures infectious particles by plaque assay and represents virus particles capable of forming a visible plaque. TCID50 (Tissue Culture Infectious Dose 50%) is the dilution of virus that infects 50% of cell culture replicates and is approximately 0.7x the PFU value (by Poisson distribution). MOI (Multiplicity of Infection) is the ratio of infectious particles to cells, calculated as MOI = PFU / number of cells. An MOI of 1 means one infectious particle per cell, but due to Poisson distribution, approximately 37% of cells remain uninfected at MOI 1. MOI of 3-5 is needed to infect over 95% of cells.
What dilution should I plate to get countable plaques?
For accurate counting, aim for 10-100 plaques per plate (some labs accept 20-200). If your expected titer is around 10^8 PFU/mL and you plate 0.1 mL, you need approximately 100-1000 total plaques per mL at the plated dilution. Working backwards: 10^8 PFU/mL at 10^-6 dilution gives 100 PFU/mL, and 0.1 mL gives 10 plaques. So plate dilutions from 10^-5 to 10^-7 to ensure at least one plate falls in the countable range. Always plate at least two consecutive dilutions in duplicate to account for pipetting variation and ensure countable results.
Why do I need to average across replicates?
Averaging across replicate plates reduces random sampling error inherent in the plaque assay. Due to Poisson statistics, the standard deviation of plaque counts equals the square root of the mean count. For a plate with 50 plaques, the expected standard deviation is about 7 plaques (14% coefficient of variation). Using duplicates reduces this error by a factor of sqrt(2). Triplicates provide even better precision. Replicates also help identify technical errors like uneven cell monolayers, contamination, or pipetting mistakes. If replicate counts differ by more than twofold, the assay should be repeated.
References
Background & Theory
History
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer ยท Editorial policy
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