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Automated Microbial Identification Systems

Automated Microbial Identification Systems

Abstract

Prior to the 1970s, microorganisms were primarily identified with conven­ tional biochemical tests and often required several days to weeks for identi­ fication. In the early 1970s, API (bioMerieux Vitek) introduced lyophilized substrates in microcupules that allowed many clinical isolates to be identi­ fied in 24-48 hr. Subsequently, with use of a heavy inoculum, preformed enzymes could be detected, allowing some bacteria to be identified in 4 hr. In the latter half of the 1970s, automated identification systems were intro­ duced. Our discussion will be limited to identification systems that have automated result entry, have a data base for the identification of a large variety of different microorganisms and are available in the United States.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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