Image-Based Single Cell Profiling: High-Throughput Processing of Mother Machine Experiments.

ABSTRACT:

Background

Microfluidic lab-on-chip technology combined with live-cell imaging has enabled the observation of single cells in their spatio-temporal context. The mother machine (MM) cultivation system is particularly attractive for the long-term investigation of rod-shaped bacteria since it facilitates continuous cultivation and observation of individual cells over many generations in a highly parallelized manner. To date, the lack of fully automated image analysis software limits the practical applicability of the MM as a phenotypic screening tool.

Results

We present an image analysis pipeline for the automated processing of MM time lapse image stacks. The pipeline supports all analysis steps, i.e., image registration, orientation correction, channel/cell detection, cell tra

SUBMITTER: Sachs CC 

PROVIDER: S-EPMC5035088 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature