The DOI matches its Crossref record.
Automated systems for identification of microorganisms
Open accessAbstract
Automated instruments for the identification of microorganisms were introduced into clinical microbiology laboratories in the 1970s. During the past two decades, the capabilities and performance characteristics of automated identification systems have steadily progressed and improved. This article explores the development of the various automated identification systems available in the United States and reviews their performance for identification of microorganisms. Observations regarding deficiencies and suggested improvements for these systems are provided.
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Cited by
Blackett, K. L., Siddhi, S. S., Cleary, S., Steed, H., Miller, M. H., Macfarlane, S., Macfarlane, G. T., & Dillon, J. F. (2013) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12317 · Cited by 211
Metadata
- Authors
- Stager, C. E., & Davis, J. R.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 1992-07
- Volume
- 5
- Issue
- 3
- Pages
- 302-327
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W1912411514
- Cited by
- 161
- References
- 0
- FWCI
- 7.29
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Automated systems for identification of microorganisms. https://app.cochat.ai/papers/10.1128/cmr.5.3.302
- The paper
- Stager, C. E., & Davis, J. R. (1992). Automated systems for identification of microorganisms. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.5.3.302
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
