Automation Techniques in Anaerobic Bacteriology
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9943-9_4
Reference16 articles.
1. Archetti C, Montaneli A, Finazzi D, Caimi L, Garaffa E. Clinical laboratory automation: a case study. J Public Health Res. 2017;6:881.
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3. Croxatto A, Prodhom G, Faverjon F, Rochais Y, Greub G. Laboratory automation in clinical bacteriology: what system to choose? Clin Microbiol Infect. 2016;22:217–35.
4. Nagy E, Boyanova L, Justesen US. How to isolate, identify and determine antimicrobial susceptibility ofanaerobic bacteria in routine laboratories? Clin Microbiol Infect. 2018;24:1139–48.
5. Veloo AC, de Vries EC, Jean-Pierre H, Justesen US, Morris T, Urbán E, Wybo I, van Winkelhoff AJ. The optimization and validation of the Biotyper MALDI-TOF MS database for the identification of gram-positive anaerobic cocci. Clin Microbiol Infect. 2016;22:793–8.
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