Cells grown in culture act as a model system for analyzing the effects of
anticancer compounds, which may affect cell behavior in a cell cycle
position-dependent manner. Cell synchronization techniques have been generally
employed to minimize the variation in cell cycle position. However,
synchronization techniques are cumbersome and imprecise and the agents used to
synchronize the cells potentially have other unknown effects on the cells. An
alternative approach is to determine the age structure in the population and
account for the cell cycle positional effects post hoc. Here we provide a
formalism to use quantifiable age distributions from live cell microscopy
experiments to parameterize an age-structured model of cell population
response
