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Characterizing Microbiome Dynamics &#8211; Flow Cytometry Based Workflows from Pure Cultures to Natural Communities
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Vizardous: interactive analysis of microbial populations with single cell resolution.

Stefan Helfrich1, Charaf E Azzouzi1, Christopher Probst1

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

Bioinformatics (Oxford, England)
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Summary

Vizardous software aids biologists in analyzing single-cell microscopy data. It visualizes cell lineage trees with time-resolved characteristics, bridging individual cell behavior and population averages.

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Area of Science:

  • Cell Biology
  • Bioinformatics
  • Microscopy

Background:

  • Single-cell time-lapse microscopy enables investigation of heterogeneous cell behavior.
  • Microfluidic and live-cell imaging technologies allow parallel observation of numerous cell populations.
  • Biologists face challenges in exploring and interpreting large single-cell datasets.

Purpose of the Study:

  • To present Vizardous, a software tool for explorative analysis and interpretation of single-cell data.
  • To assist scientists in visualizing and understanding complex cellular development.
  • To bridge the gap between single-cell observations and population-level insights.

Main Methods:

  • Development of the Vizardous software tool.
  • Integration of interactive and visual analysis capabilities.
  • Augmentation of lineage tree drawings with time-resolved cellular characteristics.

Main Results:

  • Vizardous provides an interactive and configurable platform for single-cell data exploration.
  • The software visualizes lineage trees enriched with diverse cellular features.
  • Statistical moments derived from Vizardous connect single-cell dynamics to population averages.

Conclusions:

  • Vizardous facilitates a deeper understanding of single-cell behavior from time-lapse microscopy.
  • The tool enhances the interpretation of complex biological data.
  • It offers a valuable resource for researchers in cell biology and bioinformatics.