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BBQ methods: Streamlined workflows for Bacterial Burden Quantification in infected cells by confocal microscopy.

Jacques Augenstreich1, Michael Shuster1, Yongqiang Fan1,2

  • 1Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, MD 20742 USA.

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|October 24, 2023
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Summary

New automated methods improve bacterial burden quantification (BBQ) in macrophages. These techniques offer reliable, unbiased, and rapid bacterial load assessment for host-pathogen research.

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Area of Science:

  • Microbiology
  • Immunology
  • Cell Biology

Background:

  • Accurate quantification of bacterial burden within macrophages (BBQ) is vital for understanding host-pathogen dynamics.
  • Existing BBQ methods have limitations, necessitating improved techniques for reliable analysis.
  • Confocal microscopy data analysis is key for studying intracellular bacterial infections.

Approach:

  • Introduced two novel automated workflows for Bacterial Burden Quantification (BBQ) using confocal microscopy data.
  • Developed a refined fluorescence quantification method excluding uninfected cells.
  • Implemented a bacterial volume calculation method to reduce fluorescence-based biases.

Key Points:

  • Utilized PyImageJ and Cellpose software for automated data analysis.
  • Validated workflows with Salmonella Typhimurium and Mycobacterium tuberculosis models.
  • Achieved reliable, unbiased, and rapid quantification of bacterial load.

Conclusions:

  • The novel automated workflows provide effective tools for accurate bacterial burden assessment.
  • These methods enhance the study of bacterial interactions within host cells.
  • The developed techniques offer valuable insights for diverse research applications in microbiology and immunology.