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Literature DB >> 7000819

Collaborative investigation of the AutoMicrobic System Enterobacteriaceae biochemical card.

H D Isenberg, T L Gavan, P B Smith, A Sonnenwirth, W Taylor, W J Martin, D Rhoden, A Balows.

Abstract

The Enterobacteriaceae biochemical card used in six separate laboratories to identify 170 representatives of Enterobacteriaceae. The AutoMicrobic System (Vitek Systems, Inc.) performed with an accuracy of 97.8% as compared with 98.1% by the standard method selected and 97.6% by a commerically prepared manual system approach. During this time, 5,450 clinical isolates belonging to Enterobacteriaceae were analyzed. Compared with the routine methods used in the various laboratories, the AutoMicrobic System identified 96.4% correctly

Mesh：

Year: 1980 PMID： 7000819 PMCID： PMC273489 DOI： 10.1128/jcm.11.6.694-702.1980

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

6 in total

1. Clinical laboratory evaluation of automated microbial detection/identification system in analysis of clinical urine specimens.

Authors: H D Isenberg; T L Gavan; A Sonnenwirth; W I Taylor; J A Washington
Journal: J Clin Microbiol Date: 1979-08 Impact factor: 5.948

Review 2. The place of the computer in diagnostic medical bacteriology.

Authors: J D MacLowry; E A Robertson; R J Elin
Journal: Prog Clin Pathol Date: 1978

Review 3. Characterization and clinical identification of Enterobacteriaceae by DNA hybridization.

Authors: D J Brenner
Journal: Prog Clin Pathol Date: 1978

4. Multi-laboratory evaluation of an automated microbial detection/identification system.

Authors: P B Smith; T L Gavan; H D Isenberg; A Sonnenwirth; W I Taylor; J A Washington; A Balows
Journal: J Clin Microbiol Date: 1978-12 Impact factor: 5.948

5. Preprototype of an automated microbial detection and identification system: a developmental investigation.

Authors: A C Sonnenwirth
Journal: J Clin Microbiol Date: 1977-10 Impact factor: 5.948

6. Automated microbiological detection/identification system.

Authors: C Aldridge; P W Jones; S Gibson; J Lanham; M Meyer; R Vannest; R Charles
Journal: J Clin Microbiol Date: 1977-10 Impact factor: 5.948

6 in total

30 in total

Review 1. Automated systems for identification of microorganisms.

Authors: C E Stager; J R Davis
Journal: Clin Microbiol Rev Date: 1992-07 Impact factor: 26.132

Review 2. Manual and automated instrumentation for identification of Enterobacteriaceae and other aerobic gram-negative bacilli.

Authors: Caroline M O'hara
Journal: Clin Microbiol Rev Date: 2005-01 Impact factor: 26.132

3. Biographical feature: Henry D. Isenberg, Ph.D.

Authors: Erik Munson
Journal: J Clin Microbiol Date: 2014-12-10 Impact factor: 5.948

4. Routine culturing of stool specimens for Yersinia enterocolitica.

Authors: R L Barteluk; M A Noble
Journal: J Clin Microbiol Date: 1988-08 Impact factor: 5.948

5. Spectral analysis of biochemical reactions used for identification of bacteria.

Authors: A E Hilger; M V Lancaster
Journal: Eur J Clin Microbiol Date: 1984-08 Impact factor: 3.267

6. Evaluation of the Quantum II and Rapid E identification systems.

Authors: P R Murray; A Gauthier; A Niles
Journal: J Clin Microbiol Date: 1984-09 Impact factor: 5.948

7. Cost analysis of the Auto Microbic system urine identification card.

Authors: A C Hamoudi; S Lin
Journal: J Clin Microbiol Date: 1981-10 Impact factor: 5.948

8. Use of the automicrobic and enteric-tek systems for identification of Enterobacteriaceae.

Authors: J Goldstein; J J Guarneri; P Della-Latta; J Scherer
Journal: J Clin Microbiol Date: 1982-04 Impact factor: 5.948

9. Sensitivity, specificity, and reproducibility of the automicrobic system (with the Enterobacteriaceae-plus biochemical card) for identifying clinical isolates of Gram- negative bacilli.

Authors: A L Barry; T L Gavan; R E Badal; M J Telenson
Journal: J Clin Microbiol Date: 1982-04 Impact factor: 5.948

10. Update and evaluation of the AutoMicrobic yeast identification system.

Authors: G Land; R Stotler; K Land; J Staneck
Journal: J Clin Microbiol Date: 1984-10 Impact factor: 5.948