Literature DB >> 1498768

Automated systems for identification of microorganisms.

C E Stager1, J R Davis.   

Abstract

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.

Mesh：

Year:  1992        PMID： 1498768      PMCID： PMC358246          DOI： 10.1128/CMR.5.3.302

Source DB:  PubMed          Journal:  Clin Microbiol Rev        ISSN： 0893-8512            Impact factor:   26.132


  76 in total

1.  Comparison of the AutoMicrobic system and a conventional tube system for identification of nonfermentative and oxidase-positive gram-negative bacilli.

Authors:  J E Johnson; A W Brinkley
Journal:  J Clin Microbiol       Date:  1982-01       Impact factor: 5.948

2.  Automated identification of gram-positive bacteria.

Authors:  K L Ruoff; M J Ferraro; M E Jerz; J Kissling
Journal:  J Clin Microbiol       Date:  1982-12       Impact factor: 5.948

3.  Evaluation of the AutoMicrobic system for identification of glucose-nonfermenting gram-negative rods.

Authors:  S M Smith; K R Cundy; G L Gilardi; W Wong
Journal:  J Clin Microbiol       Date:  1982-02       Impact factor: 5.948

4.  Accurate automated identification of selected Enterobacteriaceae at four hours.

Authors:  M J Ferraro; M A Edelblut; L J Kunz
Journal:  J Clin Microbiol       Date:  1981-01       Impact factor: 5.948

5.  Evaluation of an automated, computerized system (automicrobic system) for Enterobacteriaceae identification.

Authors:  N M Burdash; G Teti; M E West; E R Bannister; J P Manos
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

6.  Collaborative investigation of the AutoMicrobic System Enterobacteriaceae biochemical card.

Authors:  H D Isenberg; T L Gavan; P B Smith; A Sonnenwirth; W Taylor; W J Martin; D Rhoden; A Balows
Journal:  J Clin Microbiol       Date:  1980-06       Impact factor: 5.948

7.  Laboratory evaluation of the AutoMicrobic system for identification of Enterobacteriaceae.

Authors:  J W Freeman; R W Rowland; S B Overman; N L Goodman
Journal:  J Clin Microbiol       Date:  1981-05       Impact factor: 5.948

8.  Clinical laboratory evaluation of the automicrobic system Enterobacteriaceae biochemical card.

Authors:  J R Davis; C E Stager; R D Wende; S M Qadri
Journal:  J Clin Microbiol       Date:  1981-10       Impact factor: 5.948

9.  Clinical evaluation of the AutoMicrobic system Yeast Biochemical Card for rapid identification of medically important yeasts.

Authors:  D L Oblack; J C Rhodes; W J Martin
Journal:  J Clin Microbiol       Date:  1981-02       Impact factor: 5.948

10.  Clinical laboratory evaluation of the Auto-Microbic system for rapid identification of Enterobacteriaceae.

Authors:  J J Hasyn; K R Cundy; C C Dietz; W Wong
Journal:  J Clin Microbiol       Date:  1981-03       Impact factor: 5.948
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  38 in total

1.  Evaluation of the Wider system, a new computer-assisted image-processing device for bacterial identification and susceptibility testing.

Authors:  R Cantón; M Pérez-Vázquez; A Oliver; B Sánchez Del Saz; M O Gutiérrez; M Martínez-Ferrer; F Baquero
Journal:  J Clin Microbiol       Date:  2000-04       Impact factor: 5.948

2.  Bacterial identification for publication: when is enough enough?

Authors:  J Michael Janda; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2002-06       Impact factor: 5.948

3.  16S ribosomal DNA sequence analysis of a large collection of environmental and clinical unidentifiable bacterial isolates.

Authors:  M Drancourt; C Bollet; A Carlioz; R Martelin; J P Gayral; D Raoult
Journal:  J Clin Microbiol       Date:  2000-10       Impact factor: 5.948

4.  A survey of stool culturing practices for vibrio species at clinical laboratories in Gulf Coast states.

Authors:  N N Marano; N A Daniels; A N Easton; A McShan; B Ray; J G Wells; P M Griffin; F J Angulo
Journal:  J Clin Microbiol       Date:  2000-06       Impact factor: 5.948

5.  Evaluation of the Vitek 2 system for rapid identification of clinical isolates of gram-negative bacilli and members of the family Streptococcaceae.

Authors:  P J Gavin; J R Warren; A A Obias; S M Collins; L R Peterson
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2002-12-10       Impact factor: 3.267

6.  Evaluation of the automated phoenix system for potential routine use in the clinical microbiology laboratory.

Authors:  J-L Donay; D Mathieu; P Fernandes; C Prégermain; P Bruel; A Wargnier; I Casin; F X Weill; P H Lagrange; J L Herrmann
Journal:  J Clin Microbiol       Date:  2004-04       Impact factor: 5.948

7.  Evaluation of Biolog for identification of members of the family Micrococcaceae.

Authors:  J M Miller; J W Biddle; V K Quenzer; J C McLaughlin
Journal:  J Clin Microbiol       Date:  1993-12       Impact factor: 5.948

8.  Helicobacter pylori isolated from the domestic cat: public health implications.

Authors:  L K Handt; J G Fox; F E Dewhirst; G J Fraser; B J Paster; L L Yan; H Rozmiarek; R Rufo; I H Stalis
Journal:  Infect Immun       Date:  1994-06       Impact factor: 3.441

9.  Evaluation of Staf-Sistem 18-R for identification of staphylococcal clinical isolates to the species level.

Authors:  R Piccolomini; G Catamo; C Picciani; D D'Antonio
Journal:  J Clin Microbiol       Date:  1994-03       Impact factor: 5.948

10.  Regulation of cell size in response to nutrient availability by fatty acid biosynthesis in Escherichia coli.

Authors:  Zhizhong Yao; Rebecca M Davis; Roy Kishony; Daniel Kahne; Natividad Ruiz
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205
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