Variable selection and multivariate methods for the identification of microorganisms by flow cytometry

Cytometry

Volumn 35, Issue 2, 1999, Pages 162-168

  Davey, Hazel M ^a,b   Jones, Alun ^b   Shaw, Adrian D ^b   Kell, Douglas B ^b  

^a UNIVERSITY OF WALES   (United Kingdom)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

Artificial neural networks; Microorganism; Multivariate data analysis; Principal components; Variable selection

Indexed keywords

ANALYTIC METHOD; ARTICLE; BACTERIUM DETECTION; BACTERIUM IDENTIFICATION; FLOW CYTOMETRY; LABORATORY; MULTIVARIATE ANALYSIS; NONHUMAN; PRIORITY JOURNAL;

BACTERIA (MICROORGANISMS);

EID: 0033080856     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0320(19990201)35:2<162::AID-CYTO8>3.0.CO;2-U     Document Type: Article

References (46)

1. Shapiro HM. Practical flow cytometry, 3rd ed. New York: Alan R. Liss, Inc.; 1995.
2. Davey HM, Davey CL, Kell DB. On the determination of the size of microbial cells using flow cytometry. In: Lloyd D, editor. Flow cytometry in microbiology. London: Springer-Verlag; 1993. p 49-65.
3. Koch AL, Robertson BR, Button DK. Deduction of the cell volume and mass from forward scatter intensity of bacteria analyzed by flow cytometry. J Microbiol Methods 1996;27:49-61.
4. Salzman GC, Singham SB, Johnston RG. Bohren CF. Light scattering and cytometry. In: Melamed MR, Lindmo T, Mendelsohn MI, editors. Flow cytometry and sorting, 2nd ed. New York: Wiley-Liss, Inc.; 1990. p 81-107.
5. Davey HM, Kell DB. Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses. Microbiol Rev 1996;60:641-696.
6. Waggoner AS. Fluorescent probes for cytometry. In: Melamed MR, Lindmo T, Mendelsohn ML, editors. Flow cytometry and sorting. 2nd ed. New York: Wiley-Liss Inc.; 1990. p 209-225.
7. Grogan WM, Collins JM. Guide to flow cytometry methods. New York: Marcel Decker, Inc.; 1990.
8. Haugland RP. Molecular Probes handbook of fluorescent probes and research chemicals, 6th ed. Molecular Probes, Inc.; 1996.
9. Lloyd D. Flow cytometry: a technique waiting for microbiologists. In: Lloyd D, editor. Flow cytometry in microbiology. London: Springer-Verlag; 1993. p 1-9.
10. Melamed MR, Lindmo T, Mendelsohn ML. Flow cytometry and sorting, 2nd ed. New York: Wiley-Liss, Inc.; 1990.
11. Kachel V, Messeschmidt R, Hummel P. Eight-parameter PC-AT based flow cytometric data system. Cytometry 1990;11:805-812.
12. Steinkamp JA, Habbersett RC, Hiebert RD. Improved multilaser/ multiparameter flow cytometer for analysis and sorting of cells and particles. Rev Sci Instrum 1991;62:2751-2764.
13. Dubelaar GBJ, Groenewegen AC, Stokdijk W, van den Engh GJ, Visser JWM. Optical plankton analyzer - a flow cytometer for plankton analysis. 2. Specifications. Cytometry 1989;10:529-539.
14. Peeters JCH, Dubelaar GBJ, Ringelberg J, Visser JWM. Optical plankton analyzer - a flow cytometer for plankton analysis. 1. Design considerations. Cytometry 1989;10:522-528.
15. Robinson JP, Durack G, Kelley S. An innovation in flow cytometry data collection and analysis producing a correlated multiple sample analysis in a single file. Cytometry 1991;12:82-90.
16. Boddy L, Morris CW. Neural network analysis of flow cytometry data. In: Lloyd D, editor. Flow cytometry in microbiology. London: Springer-Verlag; 1993. p 159-169.
17. Givan AL. Flow cytometry first principles. New York: Wiley-Liss, Inc.; 1992.
18. Watson JV. Flow cytometry data analysis: basic concepts and statistics, Cambridge: Cambridge University Press; 1992.
19. Hotelling H. Analysis of a complex of statistical variables into principal components. J Educ Psychol 1933;24:417-441, 498-520.
20. Jolliffe IT. Principal component analysis. Heidelberg: Springer; 1986.
21. Tukey JW. Exploratory data analysis. Reading, MA: Addison-Wesley; 1977.
22. Martens H, Næs T. Multivariate calibration. Chichester: John Wiley; 1989.
23. Balfoort HW, Snoek J, Smits JRM, Breedveld LW, Hofstraat JW, Ringelberg J. Automatic identification of algae: neural network analysis of flow cytometric data. J Plankton Res 1992;14:575-589.
24. Boddy L, Morris CW. Analysis of flow cytometry data - a neural network approach. Binary 1993;5:17-22.
25. Frankel DS, Olson RJ, Frankel SL, Chisholm SW. Use of a neural net computer system for analysis of flow cytometric data of phytoplankton populations. Cytometry 1989;10:540-550.
26. Morris CW, Boddy L, Allman R. Identification of Basidiomycete spores by neural network analysis of flow cytometry data. Mycol Res 1992;96:697-701.
27. Næs T, Kvaal K, Isaksson T, Miller C. Artificial neural networks in multivariate calibration. J Near Infrared Spec 1993;1:1-11.
28. White H. Artificial neural networks: approximation and learning theory. Oxford: Blackwell: 1992.
29. Kell DB, Sonnleitner B. GMP - good modelling practice. Trends Biotechnol 1995;13:481-492.
30. Seasholtz MB, Kowalski B. The parsimony principle applied to multivariate calibration. Anal Chim Acta 1993;277:165-177.
31. Miller AJ. Subset selection in regression. London: Chapman & Hall: 1990.
32. Shaw AD, di Camillo A, Vlahov G, Jones A, Bianchi G, Rowland J, Kell DB. Discrimination of the variety and region of origin of extra virgin olive oils using 13C NMR and multivariate calibration with variable reduction. Anal Chim Acta 1997;348:357-374.
33. Jespersen L, Lassen S, Jakobsen M. Flow cytometric detection of wild yeast in lager breweries. Int J Food Microbiol 1993;17:321-328.
34. Urano N, Nomura M, Sahara H, Koshino S. The use of flow cytometry and small-scale brewing in protoplast fusion - exclusion of undesired phenotypes in yeasts. Enzyme Microbial Technol 1994;16:839-843.
35. Alberghina L, Ranzi BM, Porro D, Martegani E. Flow cytometry and cell cycle kinetics in continuous and fed-batch fermentations of budding yeast. Biotechnol Prog 1991;7:299-304.
36. Davey HM, Davey CL, Woodward AM, Edmonds AN, Lee AW, Kell DB. Oscillatory, stochastic and chaotic growth rate fluctuations in permittistatically-controlled yeast cultures. Biosystems 1996;59:43-61.
37. Dinsdale MG, Lloyd D, Jarvis B. Yeast vitality during cider fermentation - 2 approaches to the measurement of membrane-potential. J Institute Brewing. 1995;101:453-458.
38. Scheper T, Gebauer A, Sauerbrei A, Niehoff A, Schugerl K. Measurement of biological parameters during fermentation processes. Anal Chim Acta 1984;163:111-118.
39. st century. London: Brassey's; 1994.
40. Rimmington A. Russia's military microbiologists record victory against anthrax, but at what civillian cost? Microbiol Eur 1994;2:12-13.
41. Davey HM, Kell DB. Rapid flow cytometric detection and identification of microbial particles using multiple stains and neural networks. Presented at the Scientific Conference on Chemical and Biological Defense Research, 1996, Edgewood, Baltimore, MD. ERDEC-SP-048. Baltimore: Aberdeen Proving Ground; 1997. p 393-399.
42. Davey HM, Kell DB. A portable flow cytometer for the detection and identification of microorganisms. In: Proceedings of the NATO Advanced Research Workshop on Rapid Methods for Monitoring the Environment for Biological Hazards. Warsaw, Poland: in press.
43. Phillips AP, Martin KL. Immunofluorescence analysis of Bacillus spores and vegetative cells by flow cytometry. Cytometry 1983;4:123-131.
44. Phillips AP, Martin KL. Dual-parameter scatter-flow immunofluorescence analysis of Bacillus spores. Cytometry 1985;6:124-129.
45. Phillips AP, Martin KL, Broster MG. Differentiation between spores of Bacillus antbracis and Bacillus cereus by a quantitative immunofluorescence technique. J Clin Microbiol 1983;17:41-47.
46. Davey HM, Kell DB. Fluorescent brighteners: novel stains for the flow cytometric analysis of microorganisms. Cytometry 1997;28:311-315.