ReviewBioengineering (Basel, Switzerland)2018
Laboratory Automation in Clinical Microbiology.
Review in Bioengineering (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Impact of Total Laboratory Automation on Urine Culture Turnaround Time: A Comparative Study Between Manual Workflow and WASPLab™.Diagnostics (Basel, Switzerland) · 2026Article
- Evolving microbiology laboratories: mastering automated culture-based processes and molecular assays, an institutional experience.Frontiers in cellular and infection microbiology · 2026Review
- Total Laboratory Automation for Microbiology Activities: An HTA Analysis in an Italian Laboratory Setting.ClinicoEconomics and outcomes research : CEOR · 2026Article
- A digital plating platform for robust and versatile microbial detection and analysis.Scientific reports · 2025Article
- A Comparison of Three Automated Nucleic Acid Extraction Systems for Human Stool Samples.Microorganisms · 2024Article
- The Impact of Laboratory Automation on the Time to Urine Microbiological Results: A Five-Year Retrospective Study.Diagnostics (Basel, Switzerland) · 2024Article
- Development and evaluation of an artificial intelligence for bacterial growth monitoring in clinical bacteriology.Journal of clinical microbiology · 2024Article
- Conversion of a classical microbiology laboratory to a total automation laboratory enhanced by the application of lean principles.Microbiology spectrum · 2024Article
- Laboratory Automation in Microbiology: Impact on Turnaround Time of Microbiological Samples in COVID Time.Diagnostics (Basel, Switzerland) · 2023Article
- Laboratory automation, informatics, and artificial intelligence: current and future perspectives in clinical microbiology.Frontiers in cellular and infection microbiology · 2023Article
- Debaryomyces hansenii: an old acquaintance for a fresh start in the era of the green biotechnology.World journal of microbiology & biotechnology · 2022Review
- Total Laboratory Automation for Rapid Detection and Identification of Microorganisms and Their Antimicrobial Resistance Profiles.Frontiers in cellular and infection microbiology · 2022Review
- Culturomics Approaches Expand the Diagnostic Accuracy for Sexually Transmitted Infections.International journal of molecular sciences · 2021Review
- Implementation of the WASPLab™ and first year achievements within a university hospital.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020Article
- Evaluation of the WASPLab Segregation Software To Automatically Analyze Urine Cultures Using Routine Blood and MacConkey Agars.Journal of clinical microbiology · 2020Article
- Clinical Performance of BD Kiestra InoqulA Automated System in a Chinese Tertiary Hospital.Infection and drug resistance · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Laboratory automation is currently the main organizational challenge for microbiologists. Automating classic workflows is a strenuous process for the laboratory personnel and a huge and long-lasting financial investment. The investments are rewarded through increases in quality and shortened time to report. However, the benefits for an individual laboratory can only be estimated after the implementation and depending on the classic workflows currently performed. The two main components of automation are hardware and workflow. This review focusses on the workflow aspects of automation and describes some of the main developments during recent years. Additionally, it tries to define some terms which are related to automation and specifies some developments which would further improve automated systems.
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Registered trials
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.