MMHelper: An automated framework for the analysis of microscopy images acquired with the mother machine
作者: Ashley SmithJeremy MetzStefano Pagliara
刊名: Scientific Reports, 2019, Vol.9 (1), pp.1-12
来源数据库: Directory of Open Access Journals
DOI: 10.1038/s41598-019-46567-0
原始语种摘要: 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...
全文获取路径: DOAJ  (合作)
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影响因子:2.927 (2012)

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关键词翻译
关键词翻译
  • machine 机器
  • framework 构架
  • automated 自动
  • microscopy 显微镜检查
  • software 软件
  • analysis 分析
  • capability 能力
  • mother 母亲
  • consuming 耗的
  • demonstrate 说明