Author:
Sauls John T.,Schroeder Jeremy W.,Brown Steven D.,Treut Guillaume Le,Si Fangwei,Li Dongyang,Wang Jue D.,Jun Suckjoon
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.
Publisher
Cold Spring Harbor Laboratory
Reference24 articles.
1. Robust Growth of Escherichia coli
2. Bistable Expression of Virulence Genes in Salmonella Leads to the Formation of an Antibiotic-Tolerant Subpopulation
3. F. Jug , T. Pietzsch , D. Kainm , J. Funke , M. Kaiser , E. V. Nimwegen , C. Rother , & G. Myers , “Optimal Joint Segmentation and Tracking of Escherichia Coli in the Mother Machine,” 25–36, 2014.
4. Time-lapse microscopy and image analysis of Escherichia coli cells in mother machines, vol. 43. Elsevier Ltd., 1 ed., 2016.
5. Opposite Effects of mGluR1a and mGluR5 Activation on Nucleus Accumbens Medium Spiny Neuron Dendritic Spine Density
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