HomeMolecular BiologyViral Vector Multiplicity of Infection

Viral Vector Multiplicity of Infection: Poisson Transduction Statistics

Interactive 3D gene-therapy simulator: watch viral vector particles rain onto a cell monolayer at a chosen multiplicity of infection (MOI) and see Poisson statistics predict which cells actually get transduced.

Molecular Biology3DModerate60 FPS📱 Mobile-adapted⇄ 2D version
gene-therapy ↗ Open standalone

Gene therapy delivers a corrective gene using engineered viral vectors (AAV, lentivirus and similar), and the dose is planned in terms of multiplicity of infection — the average number of vector particles applied per target cell. Because particles land on cells essentially at random, the actual number of vector copies any single cell receives follows Poisson statistics, not a uniform "one particle per cell" split. This simulator renders a 3D cell monolayer, rains a real vector dose (MOI × cell count particles) onto it at random, and tracks live whether each cell crosses the copy-number threshold needed for productive transduction — comparing the measured transduced fraction against the closed-form Poisson prediction in real time.

⚙ Under the hood

Dose a 3D cell monolayer with a gene-therapy viral vector at a chosen multiplicity of infection (MOI) and watch Poisson statistics predict which cells actually receive enough vector copies to be transduced.

gene therapyviral vectorMOIPoisson statisticstransductionmolecular biology

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install

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