henhaobio
Sign in

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

PDFDOI

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.

Citations
21

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISThiermann '24Banerjee '20Bradley '26Cross '23Kacsor '25Hallenga '26
78% semantic matchSystems Biology
Ryan Thiermann, Michael Sandler, Gursharan Ahir+8 more·eLife·Apr 18, 2024· 3 citations