High-throughput bacterial aggregation analysis in droplets

Area of Science:

• Microbiology
• Biotechnology
• Bioanalytical Chemistry

Background:

• Microfluidic droplet platforms offer controlled environments for studying bacterial aggregation.
• Current methods lack standardization, leading to inconsistent and incomparable data.
• Image analysis is a common technique but often relies on custom, non-reproducible workflows.

Purpose of the Study:

• To develop a robust, cost-effective, and standardized method for assessing bacterial aggregation using microfluidic droplets and texture-based image analysis.
• To validate the accuracy and precision of the developed method against expert manual evaluation.
• To investigate the impact of environmental factors like antibiotics, microplastics, and metals on bacterial aggregation.

Main Methods:

• Utilized microfluidic droplet generation (mono- and polydisperse).
• Employed texture-based image analysis using the open-source software CellProfiler™.
• Compared automated analysis results with manual evaluation by a panel of experts.

Main Results:

• The developed method achieved over 90% accuracy and more than 80% precision in bacterial aggregation assessment.
• Suboptimal antibiotic concentrations were found to increase bacterial aggregation.
• Exposure to microplastic beads and metals reduced bacterial aggregation.

Conclusions:

• The developed CellProfiler™-based microfluidic droplet pipeline provides a standardized, accurate, and broadly applicable tool for bacterial aggregation studies.
• This method overcomes limitations of custom workflows, enabling consistent and comparable data generation.
• The findings highlight the influence of environmental factors on bacterial aggregation dynamics.