Literature DB >> 23515547

Automation in clinical microbiology.

Paul P Bourbeau1, Nathan A Ledeboer.   

Abstract

Historically, the trend toward automation in clinical pathology laboratories has largely bypassed the clinical microbiology laboratory. In this article, we review the historical impediments to automation in the microbiology laboratory and offer insight into the reasons why we believe that we are on the cusp of a dramatic change that will sweep a wave of automation into clinical microbiology laboratories. We review the currently available specimen-processing instruments as well as the total laboratory automation solutions. Lastly, we outline the types of studies that will need to be performed to fully assess the benefits of automation in microbiology laboratories.

Mesh:

Year:  2013        PMID: 23515547      PMCID: PMC3716104          DOI: 10.1128/JCM.00301-13

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


  4 in total

1.  First evaluation of the WASP, a new automated microbiology plating instrument.

Authors:  Paul P Bourbeau; Brandi Lynn Swartz
Journal:  J Clin Microbiol       Date:  2009-01-21       Impact factor: 5.948

2.  Comparison of automated processing of flocked swabs with manual processing of fiber swabs for detection of nasal carriage of Staphylococcus aureus.

Authors:  Gillian Jones; Roger Matthews; Richard Cunningham; Peter Jenks
Journal:  J Clin Microbiol       Date:  2011-04-27       Impact factor: 5.948

3.  First evaluation of automated specimen inoculation for wound swab samples by use of the Previ Isola system compared to manual inoculation in a routine laboratory: finding a cost-effective and accurate approach.

Authors:  Alexander Mischnik; Markus Mieth; Cornelius J Busch; Stefan Hofer; Stefan Zimmermann
Journal:  J Clin Microbiol       Date:  2012-06-12       Impact factor: 5.948

Review 4.  Automation in clinical bacteriology: what system to choose?

Authors:  G Greub; G Prod'hom
Journal:  Clin Microbiol Infect       Date:  2011-05       Impact factor: 8.067

  4 in total
  37 in total

1.  Manual versus automated streaking system in clinical microbiology laboratory: Performance evaluation of Previ Isola for blood culture and body fluid samples.

Authors:  Qute Choi; Hyun Jin Kim; Jong Wan Kim; Gye Cheol Kwon; Sun Hoe Koo
Journal:  J Clin Lab Anal       Date:  2018-01-04       Impact factor: 2.352

2.  A commentary on the role of molecular technology and automation in clinical diagnostics.

Authors:  Ciara O'Connor; Marie Fitzgibbon; James Powell; Denis Barron; Jim O'Mahony; Lorraine Power; Nuala H O'Connell; Colum Dunne
Journal:  Bioengineered       Date:  2014-03-21       Impact factor: 3.269

3.  Evaluation of the Accelerate Pheno System for Fast Identification and Antimicrobial Susceptibility Testing from Positive Blood Cultures in Bloodstream Infections Caused by Gram-Negative Pathogens.

Authors:  Matthias Marschal; Johanna Bachmaier; Ingo Autenrieth; Philipp Oberhettinger; Matthias Willmann; Silke Peter
Journal:  J Clin Microbiol       Date:  2017-04-26       Impact factor: 5.948

Review 4.  Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for the Rapid Detection of Antimicrobial Resistance Mechanisms and Beyond.

Authors:  Marina Oviaño; Germán Bou
Journal:  Clin Microbiol Rev       Date:  2018-11-28       Impact factor: 26.132

5.  How small modifications in laboratory workflow of blood cultures can have a significant impact on time to results.

Authors:  B Van den Poel; A Klak; S Desmet; J Verhaegen
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-06-30       Impact factor: 3.267

6.  Impact of total laboratory automation on workflow and specimen processing time for culture of urine specimens.

Authors:  Melanie L Yarbrough; William Lainhart; Allison R McMullen; Neil W Anderson; Carey-Ann D Burnham
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2018-09-29       Impact factor: 3.267

7.  The automated clinical microbiology laboratory: fact or fantasy?

Authors:  Nathan A Ledeboer; Steven D Dallas
Journal:  J Clin Microbiol       Date:  2014-03-19       Impact factor: 5.948

Review 8.  Clinical microbiology informatics.

Authors:  Daniel D Rhoads; Vitali Sintchenko; Carol A Rauch; Liron Pantanowitz
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

Review 9.  Emerging technologies for the clinical microbiology laboratory.

Authors:  Blake W Buchan; Nathan A Ledeboer
Journal:  Clin Microbiol Rev       Date:  2014-10       Impact factor: 26.132

10.  Automatic Digital Plate Reading for Surveillance Cultures.

Authors:  Thomas J Kirn
Journal:  J Clin Microbiol       Date:  2016-08-10       Impact factor: 5.948

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