Segmentation and tracking individual pseudomonas aeruginosa bacteria in dense populations of motile cells

Vallotton, P; Sun, C; Wang, D; Turnbull, L; Whitchurch, C; Ranganathan, P

Segmentation and tracking individual pseudomonas aeruginosa bacteria in dense populations of motile cells

Vallotton, P Sun, C Wang, D Turnbull, L

Whitchurch, C

Ranganathan, P

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Publication Type:: Conference Proceeding
Citation:: 2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings, 2009, pp. 221 - 225
Issue Date:: 2009-12-01

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Field	Value	Language
dc.contributor.author	Vallotton, P	en_US
dc.contributor.author	Sun, C	en_US
dc.contributor.author	Wang, D	en_US
dc.contributor.author	Turnbull, L https://orcid.org/0000-0002-9255-9033	en_US
dc.contributor.author	Whitchurch, C https://orcid.org/0000-0003-2296-3791	en_US
dc.contributor.author	Ranganathan, P	en_US
dc.date.issued	2009-12-01	en_US
dc.identifier.citation	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings, 2009, pp. 221 - 225	en_US
dc.identifier.isbn	9781424446988	en_US
dc.identifier.uri	http://hdl.handle.net/10453/12613
dc.description.abstract	The dynamics of individual bacteria underlies the manifestation of complex multicellular behaviours such as biofilm development and colony expansion. High resolution movies of expanding bacterial colonies reveal intriguing patterns of cell motions. A quantitative understanding of the observed behaviour in relation to the bacteria's own motile apparatus and to hydrodynamic forces requires that bacteria be identified and tracked over time. This represents a demanding undertaking as their size is close to the diffraction limit; they are very close to each other; and a typical image may contain over a thousand cells. Here, we describe the approach that we have developed to segment individual bacteria and track them in high resolution phase contrast microscopy movies. We report that over 99% of non-overlapping bacteria could be segmented correctly using mathematical morphology, and we present preliminary results that exploit this new capability. © 2009 IEEE.	en_US
dc.relation.ispartof	2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings	en_US
dc.relation.isbasedon	10.1109/IVCNZ.2009.5378409	en_US
dc.title	Segmentation and tracking individual pseudomonas aeruginosa bacteria in dense populations of motile cells	en_US
dc.type	Conference Proceeding
utslib.for	060501 Bacteriology	en_US
dc.location.activity	Wellington, NZ	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Strength - ithree - Institute of Infection, Immunity and Innovation
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

The dynamics of individual bacteria underlies the manifestation of complex multicellular behaviours such as biofilm development and colony expansion. High resolution movies of expanding bacterial colonies reveal intriguing patterns of cell motions. A quantitative understanding of the observed behaviour in relation to the bacteria's own motile apparatus and to hydrodynamic forces requires that bacteria be identified and tracked over time. This represents a demanding undertaking as their size is close to the diffraction limit; they are very close to each other; and a typical image may contain over a thousand cells. Here, we describe the approach that we have developed to segment individual bacteria and track them in high resolution phase contrast microscopy movies. We report that over 99% of non-overlapping bacteria could be segmented correctly using mathematical morphology, and we present preliminary results that exploit this new capability. © 2009 IEEE.

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http://hdl.handle.net/10453/12613