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

Christian Carsten Sachs1, Alexander Grünberger1, Stefan Helfrich1

  • 1Institute for Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.

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Summary
This summary is machine-generated.

We developed molyso, an open-source software for automated analysis of mother machine (MM) microscopy images. This tool enables efficient, large-scale phenotypic screening of bacterial populations over generations.

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Area of Science:

  • Microfluidics
  • Live-cell imaging
  • Bacterial phenotyping

Background:

  • Microfluidic lab-on-chip devices and live-cell imaging allow observation of cells in their environment.
  • The mother machine (MM) system enables long-term, high-throughput cultivation and observation of individual bacterial cells over multiple generations.
  • Lack of automated image analysis software hinders the full potential of MM for phenotypic screening.

Purpose of the Study:

  • To develop a fully automated image analysis pipeline for mother machine (MM) microscopy data.
  • To enable robust, large-scale phenotypic screening using MM technology.

Main Methods:

  • Development of an image analysis pipeline for automated processing of MM time-lapse image stacks.
  • Implementation of tailored algorithms for image registration, orientation correction, cell detection, and tracking specific to the MM layout.
  • Creation of the open-source software molyso (MOther machine AnaLYsis SOftware).

Main Results:

  • The molyso pipeline automates all analysis steps, including image registration, orientation correction, cell detection, tracking, and visualization.
  • Automated analysis of a two-day growth study (≈ 90 GB) was completed in ≈ 30 minutes.
  • Negligible differences in growth rate were observed between automated and manual evaluations, demonstrating high accuracy.

Conclusions:

  • molyso is a ready-to-use, open-source software for unsupervised analysis of MM time-lapse image stacks.
  • The software facilitates unbiased, large-scale analysis of MM image data, overcoming previous limitations.
  • molyso is available with source code and user manual at https://github.com/modsim/molyso.