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    An Automated Image-Based Method for Rapid Analysis of Chlamydia Infection as a Tool for Screening Antichlamydial Agents

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    Issue Date
    2012-05-10
    Author
    Osaka, Ichie
    Hills, Jeffrey M.
    Kieweg, Sarah L.
    Shinogle, Heather E.
    Moore, David S.
    Hefty, P. Scott
    Publisher
    American Society for Microbiology
    Type
    Article
    Article Version
    Scholarly/refereed, publisher version
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    Abstract
    A major limitation in the identification of novel antichlamydial compounds is the paucity of effective methods for large-scale compound screening. The immunofluorescence assay is the preferred approach for accurate quantification of the intracellular growth of Chlamydia. In this study, an immunofluorescence image-based method (termed image-based automated chlamydial identification and enumeration [iBAChIE]) was customized for fully automated quantification of Chlamydia infection using the freely available open-source image analysis software program CellProfiler and the complementary data exploration software program CellProfiler Analyst. The method yielded enumeration of different species and strains of Chlamydia highly comparably to the conventional manual methods while drastically reducing the analysis time. The inhibitory capability of established antichlamydial activity was also evaluated. Overall, these data support that iBAChIE is a highly effective tool for automated quantification of Chlamydia infection and assessment of antichlamydial activities of molecules. Furthermore, iBAChIE is expected to be amenable to high-throughput screening studies for inhibitory compounds and fluorescently labeled molecules to study host-pathogen interactions.
    Description
    This is the published version. Copyright American Society for Microbiology
    URI
    http://hdl.handle.net/1808/19360
    DOI
    https://doi.org/10.1128/AAC.00427-12
    Collections
    • Bioengineering Scholarly Works [127]
    • Electrical Engineering and Computer Science Scholarly Works [289]
    • Molecular Biosciences Scholarly Works [531]
    Citation
    Osaka, I., J. M. Hills, S. L. Kieweg, H. E. Shinogle, D. S. Moore, and P. S. Hefty. "An Automated Image-Based Method for Rapid Analysis of Chlamydia Infection as a Tool for Screening Antichlamydial Agents." Antimicrobial Agents and Chemotherapy 56.8 (2012): 4184-188. http://dx.doi.org/10.1128/AAC.00427-12.

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    KU Libraries
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    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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