MMHelper: An automated framework for the analysis of microscopy images acquired with the mother machine.

ABSTRACT: Live-cell imaging in microfluidic devices now allows the investigation of cellular heterogeneity within microbial populations. In particular, the mother machine technology developed by Wang et al. has been widely employed to investigate single-cell physiological parameters including gene expression, growth rate, mutagenesis, and response to antibiotics. One of the advantages of the mother machine technology is the ability to generate vast amounts of images; however, the time consuming analysis of these images constitutes a severe bottleneck. Here we overcome this limitation by introducing MMHelper ( https://doi.org/10.5281/zenodo.3254394 ), a publicly available custom software implemented in Python which allows the automated analysis of brightfield or phase contrast, and any associated flu

SUBMITTER: Smith A 

PROVIDER: S-EPMC6626022 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature