We present a flexible branching process model for cell population dynamics in
synchrony/time-series experiments used to study important cellular processes.
Its formulation is constructive, based on an accounting of the unique cohorts
in the population as they arise and evolve over time, allowing it to be written
in closed form. The model can attribute effects to subsets of the population,
providing flexibility not available using the models historically applied to
these populations.