Related Experiment Video
Updated: Jun 10, 2026

A Strategy to Identify Compounds that Affect Cell Growth and Survival in Cultured Mammalian Cells at Low-to-Moderate Throughput
Published on: September 22, 2019
Cell-survival probability at large doses: an alternative to the linear-quadratic model
1Department of Mathematics, Idaho State University, 921 S8th Avenue, Stop 8085, Pocatello, ID 83209-8085, USA.
Abstract:
A model of irradiated cell survival based on rigorous accounting of microdosimetric effects is developed. The model does not assume that the distribution of lesions is Poisson and is applicable to low, intermediate and high acute doses of low or high LET radiation. For small doses, the model produces the linear-quadratic (LQ) model. However, for high doses the best-fitting LQ model grossly underestimates cell survival. The same is also true for the conventional LQ model, only more so. It is shown that for high doses, the microdosimetric distribution can be approximated by a Gaussian distribution, and the corresponding cell survival probabilities are compared.
Related Concept Videos
Parametric Survival Analysis: Weibull and Exponential Methods
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Cancer Survival Analysis
Assumptions of Survival Analysis
Dose Response Curve: Conventional Versus Nonmonotonic
Pharmacodynamic Models: Linear Concentration–Effect Model
