Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A general-purpose system for characterizing medically important bacteria to genus level.

R K Feltham, P A Wood, P H Sneath

    The Journal of Applied Bacteriology
    |October 1, 1984
    PubMed
    Summary

    A new computer program aids in identifying medically important bacteria. By inputting simple test results, it suggests likely genera and provides diagnostic tables for efficient bacterial identification.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Correction to: Grading of cytokine release syndrome associated with the CAR T cell therapy tisagenlecleucel.

    Journal of hematology & oncology·2018
    Same author

    Tunable dipolar magnetism in high-spin molecular clusters.

    Physical review letters·2006
    Same author

    Circadian function in patients with advanced non-small-cell lung cancer.

    British journal of cancer·2005
    Same author

    Effect of physician recommendation and patient adherence on rates of colorectal cancer testing.

    Cancer detection and prevention·2004
    Same author

    Gestational, pathologic and biochemical differences between very long-chain acyl-CoA dehydrogenase deficiency and long-chain acyl-CoA dehydrogenase deficiency in the mouse.

    Human molecular genetics·2001
    Same author

    Childhood and adolescent onset conduct disorder: a test of the developmental taxonomy.

    Journal of abnormal child psychology·2001

    Area of Science:

    • Microbiology
    • Computational Biology
    • Medical Diagnostics

    Background:

    • Accurate identification of bacteria is crucial for effective medical treatment.
    • Traditional bacterial identification methods can be time-consuming and require specialized expertise.
    • A need exists for efficient tools to support clinical microbiology laboratories.

    Purpose of the Study:

    • To develop a computer program to assist in the genus-level identification of bacteria of medical interest.
    • To provide a user-friendly tool for laboratories handling a diverse range of bacterial samples.
    • To streamline the process of bacterial identification using readily available test results.

    Main Methods:

    • Development of a computer program and an accompanying data matrix.

    Related Experiment Videos

  • Input of results from a set of simple, standardized bacterial tests.
  • Utilizing algorithms to compare input data against the comprehensive bacterial database.

    • Main Results:

    • The program efficiently suggests the most probable bacterial genera based on entered test results.
    • Diagnostic tables from established references (Cowan & Steel, Buchanan & Gibbons) are provided.
    • Identification matrices are presented for further computer-assisted analysis where available.

    Conclusions:

    • The developed computer program serves as a valuable aid for bacterial identification in clinical settings.
    • It simplifies the process, particularly in laboratories with a broad spectrum of bacterial isolates.
    • This tool enhances the diagnostic capabilities for medical microbiology.