A dynamic regression analysis tool for quantitative assessment of bacterial growth written in Python

Jennifer L. Hoeflinger, Daniel E. Hoeflinger, Michael J. Miller

Research output: Contribution to journalArticlepeer-review

Abstract

Herein, an open-source method to generate quantitative bacterial growth data from high-throughput microplate assays is described. The bacterial lag time, maximum specific growth rate, doubling time and delta OD are reported. Our method was validated by carbohydrate utilization of lactobacilli, and visual inspection revealed 94% of regressions were deemed excellent.

Original languageEnglish (US)
Pages (from-to)83-85
Number of pages3
JournalJournal of Microbiological Methods
Volume132
DOIs
StatePublished - Jan 1 2017

Keywords

  • Bacterial growth
  • Growth kinetics
  • Logistic growth
  • Python
  • Regression analysis

ASJC Scopus subject areas

  • Microbiology
  • Molecular Biology
  • Microbiology (medical)

Fingerprint Dive into the research topics of 'A dynamic regression analysis tool for quantitative assessment of bacterial growth written in Python'. Together they form a unique fingerprint.

Cite this