Literature DB >> 31941690

Evaluation of the WASPLab Segregation Software To Automatically Analyze Urine Cultures Using Routine Blood and MacConkey Agars.

Matthew L Faron1, Blake W Buchan2, Ryan F Relich3, James Clark4, Nathan A Ledeboer5,2.   

Abstract

Automation of the clinical microbiology laboratory has become more prominent as laboratories face higher specimen volumes and understaffing and are becoming more consolidated. One recent advancement is the use of digital image analysis to rapidly distinguish between chromogenic growth for screening bacterial cultures. In this study, colony segregation software developed by Copan (Brescia, Italy) was evaluated to distinguish between significant growth and no growth of urine cultures plated onto standard blood and MacConkey agars. Specimens from 3 sites were processed on a WASP instrument (Copan) and incubated on the WASPLab platform (Copan), and plates were imaged at 0 and 24 hours postinoculation. Images were read by technologists following validated laboratory protocols (VLPs), and results were recorded in the laboratory information systems (LIS). Image analysis performed colony counts on the 24-hour images, and results were compared with the VLP. A total of 12,931 urine cultures were tested and analyzed with an overall sensitivity and specificity of 99.8% and 72.0%, respectively. After secondary review, 91.1% of manual-positive/automation-negative specimens were due to expert rules that reported the plate as contaminated or growing only normal flora and not due to threshold counts. Nine specimens were found to be manual-positive/automation-negative; a secondary review demonstrated that the results of 8 of these specimens were due to growth of microcolonies that were programmed to be ignored by the software and 1 were due to a colony count near the limit of significance. Overall, the image analysis software proved to be highly sensitive and can be utilized by laboratories to batch-review negative cultures to improve laboratory workflow.
Copyright © 2020 American Society for Microbiology.

Entities:  

Keywords:  automation; image analysis; urine culture

Mesh:

Substances:

Year:  2020        PMID: 31941690      PMCID: PMC7098764          DOI: 10.1128/JCM.01683-19

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  12 in total

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4.  Comparison of Inoculation with the InoqulA and WASP Automated Systems with Manual Inoculation.

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5.  Automatic Digital Analysis of Chromogenic Media for Vancomycin-Resistant-Enterococcus Screens Using Copan WASPLab.

Authors:  Matthew L Faron; Blake W Buchan; Christopher Coon; Theo Liebregts; Anita van Bree; Arjan R Jansz; Genevieve Soucy; John Korver; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2016-07-13       Impact factor: 5.948

6.  Automated versus manual sample inoculations in routine clinical microbiology: a performance evaluation of the fully automated InoqulA instrument.

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7.  Challenges and Opportunities in Implementing Total Laboratory Automation.

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8.  The American Society for Clinical Pathology's 2016-2017 Vacancy Survey of Medical Laboratories in the United States.

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9.  Automated Scoring of Chromogenic Media for Detection of Methicillin-Resistant Staphylococcus aureus by Use of WASPLab Image Analysis Software.

Authors:  Matthew L Faron; Blake W Buchan; Chiara Vismara; Carla Lacchini; Alessandra Bielli; Giovanni Gesu; Theo Liebregts; Anita van Bree; Arjan Jansz; Genevieve Soucy; John Korver; Nathan A Ledeboer
Journal:  J Clin Microbiol       Date:  2015-12-30       Impact factor: 5.948

Review 10.  Laboratory Automation in Clinical Microbiology.

Authors:  Irene Burckhardt
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3.  Copan Walk Away Specimen Processor (WASP) Automated System for Pathogen Detection in Female Reproductive Tract Specimens.

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Review 4.  Total Laboratory Automation for Rapid Detection and Identification of Microorganisms and Their Antimicrobial Resistance Profiles.

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