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Institute of Medical Microbiology, Semmelweis University, Budapest, Hungary; Department of Medical Microbiology, Medical and Health Science Center, University of Debrecen, Debrecen, Hungary; Department of Microbiology and Biotechnology, Faculty of Food Science, Corvinus University of Budapest, Budapest, Hungary
* To whom correspondence should be addressed. Email:
major{at}med.unideb.hu.
A new system, MICRONAUT-Candida was compared to API ID32C to identify 264 yeast clinical isolates. Results were in concordance in 244 cases. Eighteen out of the 20 of discordant results were correctly identified by MICRONAUT-Candida but not by API ID32C, as confirmed by PCR-ribotyping.
Copyright (c) 2008, American Society for Microbiology and/or the Listed Authors/Institutions. All Rights Reserved.
Evaluation of the new MICRONAUT-Candida system for yeast identification against the API ID32C method
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