Estimating the division rate from indirect measurements of single cells

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Abstract

Is it possible to estimate the dependence of a growing and dividing population on a given trait in the case where this trait is not directly accessible by experimental measurements, but making use of measurements of another variable? This article adresses this general question for a very recent and popular model describing bacterial growth, the so-called incremental or adder model. In this model, the division rate depends on the increment of size between birth and division, whereas the most accessible trait is the size itself. We prove that estimating the division rate from size measurements is possible, we state a reconstruction formula in a deterministic and then in a statistical setting, and solve numerically the problem on simulated and experimental data. Though this represents a severely ill-posed inverse problem, our numerical results prove to be satisfactory.

Original languageEnglish
Pages (from-to)3931-3961
Number of pages31
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume25
Issue number10
DOIs
Publication statusPublished - 1 Oct 2020

Keywords

  • Adder model
  • Cell division cycle
  • Eigenvalue problems
  • Incremental model
  • Inverse problems
  • Kernel density estimation
  • Nonparametric estimation

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