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

J Microbiol Methods

Department of Food Science and Human Nutrition, University of Illinois-Urbana Champaign, 905 South Goodwin Ave, Urbana, IL 61801, United States. Electronic address:

Published: January 2017

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.

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http://dx.doi.org/10.1016/j.mimet.2016.11.015DOI Listing

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