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Semi-automated Acanthamoeba polyphaga detection and computation of Salmonella typhimurium concentration in spatio-temporal images

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Tsibidis, George D., Burroughs, Nigel John, Gaze, William H. and Wellington, E. M. H. (2011) Semi-automated Acanthamoeba polyphaga detection and computation of Salmonella typhimurium concentration in spatio-temporal images. Micron, Vol.42 (No.8). pp. 911-920. doi:10.1016/j.micron.2011.06.010 ISSN 0968-4328.

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Official URL: http://dx.doi.org/10.1016/j.micron.2011.06.010

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Abstract

Interaction between bacteria and protozoa is an increasing area of interest, however there are a few systems that allow extensive observation of the interactions. A semi-automated approach is proposed to analyse a large amount of experimental data and avoid a time demanding manual object classification. We examined a surface system consisting of non nutrient agar with a uniform bacterial lawn that extended over the agar surface, and a spatially localised central population of amoebae. Location and identification of protozoa and quantification of bacteria population are performed by the employment of image analysis techniques in a series of spatial images. The quantitative tools are based on intensity thresholding, or on probabilistic models. To accelerate organism identification, correct classification errors and attain quantitative details of all objects a custom written Graphical User Interfaces has also been developed.

Item Type: Journal Article
Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QR Microbiology
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- )
Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Library of Congress Subject Headings (LCSH): Image analysis, Diagnostic microbiology , Microscopy, Acanthamoeba, Salmonella typhimurium, Computational biology
Journal or Publication Title: Micron
Publisher: Pergamon-Elsevier Science LTD
ISSN: 0968-4328
Official Date: December 2011
Dates:
DateEvent
December 2011Published
Volume: Vol.42
Number: No.8
Number of Pages: 10
Page Range: pp. 911-920
DOI: 10.1016/j.micron.2011.06.010
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access

Data sourced from Thomson Reuters' Web of Knowledge

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