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

Automated microbiological detection/identification system.

C Aldridge, P W Jones, S Gibson

    Journal of Clinical Microbiology
    |October 1, 1977
    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

    Conserved Gammaherpesvirus Protein Kinase Counters the Antiviral Effects of Myeloid Cell-Specific STAT1 Expression To Promote the Establishment of Splenic B Cell Latency.

    Journal of virology·2021
    Same author

    Comparison of 2 Doses for ACTH Stimulation Testing in Dogs Suspected of or Treated for Hyperadrenocorticism.

    Journal of veterinary internal medicine·2016
    Same author

    Zinc sensing by metal-responsive transcription factor 1 (MTF1) controls metallothionein and ZnT1 expression to buffer the sensitivity of the transcriptome response to zinc.

    Metallomics : integrated biometal science·2016
    Same author

    Evaluation of thyroid-stimulating hormone, total thyroxine, and free thyroxine concentrations in hyperthyroid cats receiving methimazole treatment.

    Journal of veterinary internal medicine·2015
    Same author

    Incidence of primary cutaneous T-cell lymphoma in Wales.

    The British journal of dermatology·2013
    Same author

    Bilateral idiopathic avascular necrosis of the scaphoid: a rare case of Preiser's disease.

    The Journal of bone and joint surgery. British volume·2009
    Same journal

    Ebola laboratory preparedness at frontline hospitals: can we or can't we?

    Journal of clinical microbiology·2026
    Same journal

    Reporting macrolide-resistant <i>Mycoplasma pneumoniae</i>: a diagnostic obligation?

    Journal of clinical microbiology·2026
    Same journal

    Diagnostic value of HHV-6A/B genotyping in immunocompromised adults.

    Journal of clinical microbiology·2026
    Same journal

    Multicenter performance evaluation of the Simplexa <i>C. auris</i> Direct assay for the detection of <i>Candida auris</i> colonization in bilateral axilla/groin swabs.

    Journal of clinical microbiology·2026
    Same journal

    Comparison of blood culture contamination rates with standard practice versus two blood diversion devices at a single institution.

    Journal of clinical microbiology·2026
    Same journal

    Risk assessment and mitigation of hepatitis C virus RNA carryover contamination in a reflex testing algorithm.

    Journal of clinical microbiology·2026
    See all related articles

    The AutoMicrobic System offers automated bacterial and yeast detection, enumeration, and identification in clinical samples within 13 hours. This automated system demonstrates high accuracy, with over 92% agreement for seeded specimens and 93% for clinical urines.

    Area of Science:

    • Clinical microbiology
    • Medical diagnostics
    • Automation in healthcare

    Background:

    • Traditional methods for bacterial and yeast detection are time-consuming.
    • Accurate and rapid identification of microorganisms is crucial for effective patient treatment.
    • There is a need for automated systems to improve efficiency and reduce turnaround time in clinical laboratories.

    Purpose of the Study:

    • To develop and evaluate an automated, computerized system for the detection, enumeration, and identification of bacteria and yeasts in clinical specimens.
    • To assess the performance of the AutoMicrobic System using both simulated and clinical urine specimens.
    • To determine the time required for obtaining results and the accuracy compared to conventional methods.

    Main Methods:

    • Development of lyophilized, selective media in a disposable plastic cuvette system.

    Related Experiment Videos

  • Automated optical monitoring and computer interpretation of media changes.
  • Testing with 3,370 seeded and 1,486 clinical urine specimens using a specific urine test kit (Identi-Pak).

    • Main Results:

    • The AutoMicrobic System provided automated results in 13 hours.
    • Agreement with conventional methods was 92% or better for seeded specimens (≥70,000 CFU/ml).
    • Clinical urine specimens showed 93% or better agreement for most organisms, with 86% for Pseudomonas aeruginosa.

    Conclusions:

    • The AutoMicrobic System is an effective automated tool for rapid bacterial and yeast detection, enumeration, and identification in clinical settings.
    • The system demonstrates high accuracy and efficiency, particularly for urine specimens.
    • Future expansions include antibiotic susceptibility testing and broader specimen compatibility.