bioRxivSystems BiologyPreprint
Mother machine image analysis with MM3
John T. Sauls, Jeremy W. SchroederiD, Steven D. BrowniD, Guillaume Le TreutiD, Fangwei SiiD, Dongyang LiiD, Jue D. WangiD, Suckjoon JuniD
Abstract
The mother machine is a microfluidic device for high-throughput time-lapse imaging of microbes. Here, we present MM3, a complete and modular image analysis pipeline. MM3 turns raw mother machine images, both phase contrast and fluorescence, into a data structure containing cells with their measured features. MM3 employs machine learning and non-learning algorithms, and is implemented in Python. MM3 is easy to run as a command line tool with the occasional graphical user interface on a PC or Mac. A typical mother machine experiment can be analyzed within one day. It has been extensively tested, is well documented and publicly available via Github.
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