ArticleJournal of clinical microbiology2016
Performance of Copan WASP for Routine Urine Microbiology.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Advanced molecular detection, bioinformatics, and artificial intelligence era in medical laboratory science education.Journal of microbiology & biology education · 2026Article
- Combined phage therapy and faecal microbiota transplantation to treat recurrent urinary tract infection: a case series.Nature microbiology · 2026Article
- Catheter-Associated Candiduria: Aggregates, Microscopy, and CFU Variability.Mycopathologia · 2026Article
- Subcutaneous tissue disinfection is more effective than the use of electrocautery in reducingJSES international · 2026Article
- Deep Learning-Based Rapid Identification ofRisk management and healthcare policy · 2026Article
- Validation of Automated Bacterial Suspension Preparation by ColibriAntibiotics (Basel, Switzerland) · 2025Article
- Evaluation of automated streaking patterns in urine culture for clinical workflow optimization.Scientific reports · 2025Article
- The Impact of Laboratory Automation on the Time to Urine Microbiological Results: A Five-Year Retrospective Study.Diagnostics (Basel, Switzerland) · 2024Article
- Conversion of a classical microbiology laboratory to a total automation laboratory enhanced by the application of lean principles.Microbiology spectrum · 2024Article
- Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology.Frontiers in cellular and infection microbiology · 2023Article
- Culturomics to Investigate the Endometrial Microbiome: Proof-of-Concept.International journal of molecular sciences · 2022Article
- Deep Neural Networks Offer Morphologic Classification and Diagnosis of Bacterial Vaginosis.Journal of clinical microbiology · 2021Article
- Copan Walk Away Specimen Processor (WASP) Automated System for Pathogen Detection in Female Reproductive Tract Specimens.Frontiers in cellular and infection microbiology · 2021Article
- Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.Clinical microbiology reviews · 2020Review
- Clinical Performance of BD Kiestra InoqulA Automated System in a Chinese Tertiary Hospital.Infection and drug resistance · 2020Article
- Evaluation of WASPLab Software To Automatically Read chromID CPS Elite Agar for Reporting of Urine Cultures.Journal of clinical microbiology · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study compared a manual workup of urine clinical samples with fully automated WASPLab processing. As a first step, two different inocula (1 and 10 μl) and different streaking patterns were compared using WASP and InoqulA BT instrumentation. Significantly more single colonies were produced with the10-μl inoculum than with the 1-μl inoculum, and automated streaking yielded significantly more single colonies than manual streaking on whole plates (P < 0.001). In a second step, 379 clinical urine samples were evaluated using WASP and the manual workup. Average numbers of detected morphologies, recovered species, and CFUs per milliliter of all 379 urine samples showed excellent agreement between WASPLab and the manual workup. The percentage of urine samples clinically categorized as positive or negative did not differ between the automated and manual workflow, but within the positive samples, automated processing by WASPLab resulted in the detection of more potential pathogens. In summary, the present study demonstrates that (i) the streaking pattern, i.e., primarily the number of zigzags/length of streaking lines, is critical for optimizing the number of single colonies yielded from primary cultures of urine samples; (ii) automated streaking by the WASP instrument is superior to manual streaking regarding the number of single colonies yielded (for 32.2% of the samples); and (iii) automated streaking leads to higher numbers of detected morphologies (for 47.5% of the samples), species (for 17.4% of the samples), and pathogens (for 3.4% of the samples). The results of this study point to an improved quality of microbiological analyses and laboratory reports when using automated sample processing by WASP and WASPLab.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.