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

Collaborative evaluation of the Abbott yeast identification system.

B H Cooper, S Prowant, B Alexander

    Journal of Clinical Microbiology
    |June 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    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

    O blood usage trends in the pediatric population 2015-2019: A multi-institutional analysis.

    Transfusion·2025
    Same author

    Olfaction in the Anthropocene: NO<sub>3</sub> negatively affects floral scent and nocturnal pollination.

    Science (New York, N.Y.)·2024
    Same author

    Post-discharge oral antimicrobial use among hospitalized patients across an integrated national healthcare network.

    Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases·2019
    Same author

    SU-E-T-401: Evaluation of Initial Setup Accuracy and Intra-Fraction Motion for Spine SBRT Using Stereotactic Body Frames.

    Medical physics·2017
    Same author

    Spectroscopic Performance of Thick HgI<sub>2</sub> Detectors.

    IEEE transactions on nuclear science·2017
    Same author

    Accuracy and precision of non-invasive cardiac output monitoring devices in perioperative medicine: a systematic review and meta-analysis†.

    British journal of anaesthesia·2017

    The Abbott yeast identification system accurately identifies 96% of clinical yeast isolates in 24 hours. This instrumental method analyzes biochemical reactions and germ tube tests for reliable medical yeast diagnostics.

    Area of Science:

    • Clinical microbiology
    • Diagnostic technology
    • Medical mycology

    Background:

    • Accurate identification of medically important yeasts is crucial for effective patient treatment.
    • Rapid and reliable diagnostic methods are needed in clinical laboratories.
    • The Abbott yeast identification system offers an instrumental approach to yeast identification.

    Purpose of the Study:

    • To evaluate the accuracy and performance of the Abbott yeast identification system.
    • To assess the system's reliability with a diverse range of clinical yeast isolates.
    • To validate the adjusted software for improved diagnostic accuracy.

    Main Methods:

    • The Abbott yeast identification system was evaluated in two clinical laboratories.
    • 179 coded yeast isolates, including rare species, were initially tested.

    Related Experiment Videos

  • The system's accuracy was further assessed with 378 clinical isolates after software adjustments.
  • Main Results:

    • The Abbott yeast identification system correctly identified 364 out of 378 (96%) clinical yeast isolates.
    • The evaluation included a high percentage of less frequently encountered yeast species.
    • The study ensured a low proportion of germ tube-positive isolates to challenge the system.

    Conclusions:

    • The Abbott yeast identification system demonstrates high accuracy (96%) for identifying clinical yeast isolates.
    • The instrumental method provides a rapid 24-hour solution for medical yeast diagnostics.
    • The system is a valuable tool for clinical laboratories requiring reliable yeast identification.