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

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dc.contributor.author Vallotton, Pascal en_US
dc.contributor.author Sun, Changmin en_US
dc.contributor.author Wang, Dadong en_US
dc.contributor.author Ranganathan, Prabhakar en_US
dc.contributor.author Turnbull, Lynne en_US
dc.contributor.author Whitchurch, Cynthia en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2010-07-13T08:49:58Z
dc.date.available 2010-07-13T08:49:58Z
dc.date.issued 2009 en_US
dc.identifier 2009004811 en_US
dc.identifier.citation Vallotton Pascal et al. 2009, 'Segmentation and tracking of individual Pseudomonas aeruginosa bacteria in dense populations of motile cells', IEEE, Piscataway, USA, pp. 221-225. en_US
dc.identifier.issn 978-1-4244-4697-1 en_US
dc.identifier.other E1 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 nonoverlapping bacteria could be segmented correctly using mathematical morphology, and we present preliminary results that exploit this new capability. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/IVCNZ.2009.5378409 en_US
dc.title Segmentation and tracking of individual Pseudomonas aeruginosa bacteria in dense populations of motile cells en_US
dc.parent Proceedings of Image and Vision Computing New Zealand 2009 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscataway, USA en_US
dc.identifier.startpage 221 en_US
dc.identifier.endpage 225 en_US
dc.cauo.name SCI.Institute for Biotechnology of Infectious Diseases en_US
dc.conference Verified OK en_US
dc.for 060501 en_US
dc.personcode 0000059606 en_US
dc.personcode 0000061769 en_US
dc.personcode 0000022223 en_US
dc.personcode 0000061770 en_US
dc.personcode 103744 en_US
dc.personcode 103745 en_US
dc.percentage 100 en_US
dc.classification.name Bacteriology en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom Image and Vision Computing Conference en_US
dc.date.activity 20091123 en_US
dc.location.activity Wellington, NZ en_US
dc.description.keywords bacteria, tracking, image analysis, image segmentation, cell motility, twitching motility, agar plate. en_US
dc.staffid 103745 en_US


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