A dynamic regression analysis tool for quantitative assessment of bacterial growth written in Python
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- 作者：Jennifer L. Hoeflinger ; Daniel E. Hoeflinger ; Michael J. Miller ; mille216@illinois.edu
- 关键词：Logistic growth ; Regression analysis ; Python ; Bacterial growth ; Growth kinetics
- 刊名：Journal of Microbiological Methods
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：132
- 期：Complete
- 页码：83-85
- 全文大小：453 K
- 卷排序：132
文摘
A transparent, adaptable, and free regression analysis tool written in the Python programming language is presented. Common growth parameters are calculated, including lag time, growth rate, doubling time, and delta optical density. Heuristics are included to reduce the impact of noise data sets produced by plate readers. Validation with lactobacilli carbohydrate utilization data sets showed 94% success rate with no false positives detected.