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A Simple Technique Based on a Single Optical Trap for the Determination of Bacterial Swimming Pattern

Overview of attention for article published in PLOS ONE, April 2013
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Title
A Simple Technique Based on a Single Optical Trap for the Determination of Bacterial Swimming Pattern
Published in
PLOS ONE, April 2013
DOI 10.1371/journal.pone.0061630
Pubmed ID
Authors

Ignacio A. Martínez, Susana Campoy, Meritxell Tort, Montserrat Llagostera, Dmitri Petrov

Abstract

Bacterial motility is associated to a wide range of biological processes and it plays a key role in the virulence of many pathogens. Here we describe a method to distinguish the dynamic properties of bacteria by analyzing the statistical functions derived from the trajectories of a bacterium trapped by a single optical beam. The approach is based on the model of the rotation of a solid optically trapped sphere. The technique is easily implemented in a biological laboratory, since with only a small number of optical and electronic components a simple biological microscope can be converted into the required analyzer. To illustrate the functionality of this method, we probed several Salmonella enterica serovar Typhimurium mutants that differed from the wild-type with respect to their swimming patterns. In a further application, the motility dynamics of the S. Typhimurium cheV mutant were characterized.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 33 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 32%
Professor > Associate Professor 5 15%
Student > Ph. D. Student 5 15%
Student > Bachelor 3 9%
Student > Postgraduate 2 6%
Other 2 6%
Unknown 6 18%
Readers by discipline Count As %
Physics and Astronomy 15 44%
Biochemistry, Genetics and Molecular Biology 3 9%
Agricultural and Biological Sciences 3 9%
Engineering 2 6%
Immunology and Microbiology 2 6%
Other 3 9%
Unknown 6 18%