MoMA

MoMA performs long-term quantitative tracking of single-cell growth and gene expression from phase-contrast images to study gene regulatory interactions and cell-fate decisions using the dual-input Mother Machine (DIMM).


Key Features:

  • Microfluidic Chip Integration: Integration with the dual-input Mother Machine (DIMM) enables controlled and continuous variation of external conditions during single-cell experiments.
  • Phase-contrast image-based tracking: Long-term quantitative tracking of growth and gene expression is performed using phase-contrast images.
  • High-accuracy segmentation and tracking: High-accuracy segmentation and tracking of individual cells over extended periods leverages the geometry of the microfluidic device and does not require additional staining or labeling.
  • Leveraged editing procedures: Leveraged editing procedures enable bulk correction of related segmentation and tracking errors.

Scientific Applications:

  • Single-cell gene regulation and fate decisions: Enables analysis of gene regulatory interactions and cell-fate decisions at the single-cell level.
  • Dynamic gene regulatory networks: Facilitates study of dynamic gene regulatory networks and cellular responses to controlled environmental stimuli.
  • Escherichia coli lac operon studies: Has been used to investigate induction of the Escherichia coli lac operon in response to a switch from glucose to lactose.

Methodology:

MoMA processes phase-contrast images with segmentation and tracking algorithms that leverage microfluidic device geometry and applies leveraged editing procedures for error correction.

Topics

Details

Tool Type:
desktop application, plugin
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Shell
Added:
7/5/2018
Last Updated:
11/25/2024

Operations

Publications

Kaiser M, Jug F, Julou T, Deshpande S, Pfohl T, Silander OK, Myers G, van Nimwegen E. Monitoring single-cell gene regulation under dynamically controllable conditions with integrated microfluidics and software. Nature Communications. 2018;9(1). doi:10.1038/s41467-017-02505-0. PMID:29335514. PMCID:PMC5768764.

Documentation