Microscopic approaches for bacterial collective behaviour studies
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Abstract
Bacteria significantly impact our lives, from their beneficial role as probiotics to their
involvement in infection environments. Their widespread presence is largely due to their
ability to adapt to diverse conditions through collective behavior, which enables the devel-
opment of complex strategies from the contributions of simple individual entities. However
the understanding of these systems is limited by the reach of current study techniques.
This work presents the development of three platforms designed to perform microscopic
studies and characterise bacterial collective behaviors in situ, profiting the advantages of
microfluidics over traditional culture techniques.
The first platform integrates bacterial culture on solid agar directly on the microscope
stage, allowing for extended observation periods of up to a week. The agar is housed
within an elastomer structure sealed with glass, ensuring environmental isolation while
maintaining optical accessibility. This platform was used to document the complex social
strategies of Myxococcus xanthus, including motility mechanisms, predation organisation,
and fruiting body formation.
The second platform is an automated testing system for quantifying bacterial viability
under various conditions. Using microfluidic technology, this platform streamlines and
parallelise the process. It adapts the Ames genotoxicity test to a miniaturized version,
using microscopy imaging as the readout. This approach reduces experimental turnaround
time and minimizes the handling of hazardous substances.
The third platform is a microfluidic system designed for the microscopy observation of
bacteria within stabilised droplets. This approach enhances throughput and allows for the
production of various types of droplets on the same chip. Bacillus subtilis bacteria were
encapsulated in these droplets, and their entire biofilm formation life cycle was observed in
detail. Parallel to this, custom software was developed specifically for analysing microscopy
images to automatically quantify biofilm formation.
Each of these platforms provides a unique perspectives in the study of bacterial collec-
tive behavior to offer a comprehensive toolkit for researchers. complementing one another.
This work will equip researchers with the tools to address the mysteries of bacterial col-
lective behavior and opens up new possibilities for application and investigation
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Keywords
bacteria, active matter, collective behaviour, testing validation, microfluidics, biofilm, droplets, imaging, image analysis, AI
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Articles
Paper I: Tutorial for the growth and development of Myxococcus xanthus as a Model System at the Intersection of Biology and Physics. Jesus Manuel Antunez Dominguez, Laura Pérez García, Natsuko Rivera-Yoshida, Jasmin Di Franco, David Steiner, Alejandro V. Arzola, Mariana Benítez, Charlotte Hamngren Blomqvist, Roberto Cerbino, Caroline Beck Adiels and Giovanni Volpe. Submitted (2024)
Paper II: A miniaturized genotoxicity evaluation system for fast biomaterial-related risk assessment. Varvara Gribova, Jesus Manuel Antunez Dominguez, Alan Morin, Julia Sepulveda Diaz, Philippe Lavalle and Nihal Engin Vrana. Analytical Methods, Volume 15, Issue 12, pp. 1584–1593, (2023): https://doi.org/10.1039/D2AY01873J
Paper III: Cross-modality transformations in biological microscopy enabled by deep learning. Dana Hassan, Jesus Manuel Antunez Dominguez, Benjamin Midtvedt, Henrik Klein Mobergd, Jesus Pineda, Christoph Langhammer, Giovanni Volpe, Antoni Homs Corbera and Caroline Beck Adiels. Submitted, (2024)
Paper IV: Biofilm Formation Analysis via Time-Resolved Droplet Microfluidics and Artificial Intelligence. Jesus Manuel Antunez Dominguez, Daniela Guerrero Pérez, Giovanni Volpe, Daniel Midtvedt, Wylie Ahmed, Lisa Muiznieks, Aurélie Vigne, Caroline Beck Adiels. Manuscript (2024).
Paper II: A miniaturized genotoxicity evaluation system for fast biomaterial-related risk assessment. Varvara Gribova, Jesus Manuel Antunez Dominguez, Alan Morin, Julia Sepulveda Diaz, Philippe Lavalle and Nihal Engin Vrana. Analytical Methods, Volume 15, Issue 12, pp. 1584–1593, (2023): https://doi.org/10.1039/D2AY01873J
Paper III: Cross-modality transformations in biological microscopy enabled by deep learning. Dana Hassan, Jesus Manuel Antunez Dominguez, Benjamin Midtvedt, Henrik Klein Mobergd, Jesus Pineda, Christoph Langhammer, Giovanni Volpe, Antoni Homs Corbera and Caroline Beck Adiels. Submitted, (2024)
Paper IV: Biofilm Formation Analysis via Time-Resolved Droplet Microfluidics and Artificial Intelligence. Jesus Manuel Antunez Dominguez, Daniela Guerrero Pérez, Giovanni Volpe, Daniel Midtvedt, Wylie Ahmed, Lisa Muiznieks, Aurélie Vigne, Caroline Beck Adiels. Manuscript (2024).
Department
Department of Physics ; Institutionen för fysik
Defence location
Friday 6th September 2024 at 13:00, PJ-salen, Institutionen för Fysik, Origovägen 6B