Application of neural networks to flow cytometry data analysis and real-time cell classification

Cytometry

Volumn 23, Issue 4, 1996, Pages 290-302

  Frankel, Donald S ^a   Frankel, Sheila L ^b   Binder, Brian J ^b,d   Vogt, Robert F ^c  

^a KTAADN   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

^d UNIVERSITY OF GEORGIA   (United States)

Author keywords

Connectionist; Leukocyte; Multivariate classification; Oceanography; Parallel processing; Phytoplankton; Principal components

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA ANALYSIS; FLOW CYTOMETRY; HUMAN; HUMAN CELL; LEUKOCYTE; NONHUMAN; PHYTOPLANKTON; PRIORITY JOURNAL;

ANIMALS; CELLS; CYANOBACTERIA; FLOW CYTOMETRY; HUMANS; LEUKOCYTES; NEURAL NETWORKS (COMPUTER); PLANKTON; TIME FACTORS;

CYANOBACTERIA;

EID: 0029873409     PISSN: 01964763     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0320(19960401)23:4<290::AID-CYTO5>3.0.CO;2-L     Document Type: Article

References (30)

1. Bakker Schut TC, DeGrooth BG, Greve J: Cluster analysis of flow cytometric list mode data on a personal computer. Cytometry 14: 649-659, 1993.
2. 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 14:575-589, 1992.
3. Boddy L, Morris CW, Wilkins MF, Tarran GA, Burkill PH: Neural network analysis of flow cytometric data for 40 marine phytoplankton species. Cytometry 15:283-293, 1994.
4. Bierre P, Thiel D, Mickaels R: Multiparameter cluster analysis using attractors. Cytometry, supp. 6:44, 1993.
5. Bigos M, Parks DR, Moore WA: Pattern sorting: A computer controlled multidimensional sorting method using KD trees. Cytometry, supplement 6:49, 1993.
6. Chisholm SW, Frankel SL, Goernicke R, Olson RJ, Palenek B, Waterbury JB, West-Johnsrud L, Zettler ER: Prochlorococcus marinus nov. gen. nov. sp.: An oxyphototrophic marine prokaryote containing divinyl chlorophyll a and b. Arch Microbiol 157:297-300, 1992.
7. Chisholm SW, Olson RJ, Zettler ER, Goericke R, Waterbury JB, Welschmeyer NA: A novel free-living prochlorophyte abundant in the oceanic euphotic zone. Nature 334:340-343, 1988.
8. Demers S, Kim J, Legendre P, Legendre L: Analyzing multivariate flow cytometric data in aquatic sciences. Cytometry 13:291-298, 1992.
9. Digby PGN, Kempton RA: Multivariate Analysis of Ecological Communities. Chapman and Hall, New York, 1987.
10. Dillon WR, Goldstein M: Multivariate Analysis Methods and Applications. Wiley & Sons, New York, 1985.
11. Errington PA, Graham J: Application of artificial neural networks to chromosome classification. Cytometry 14:627-639, 1993
12. Frankel DS, Vogt RF: Neural network FCM analysts of CD4 and CD8 labeled cells. Cytometry Supp. 4:90, abs. 537B, 1990.
13. 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 10:540-550, 1989.
14. Frankel SL, Binder BJ, Chisholm SW: A high-sensitivity flow cytometer for studying picoplankton. Limnology Oceanography 35:1164-1169, 1990.
15. Hurst RE, Bonner RB, Ashenayi RB, Hemstreet GP: Neural networks for recognition of aberrant cells identified by quantitative fluorescence. Cytometry Supp. 6:23, 1993.
16. Jerlove NG: Optical Oceanography. Elsevier, New York, 1968.
17. Li WKW: Bivariate and trivariate analysis in flow cytometry: Phytoplankton size and fluorescence. Limnol Oceanogr 35:1356-1368, 1990.
18. Maguire D, Kelley S, Ragheb K, King GB, Robinson JP: Statistical correlations of 2-color data resulting from direct analysis and extraction from 3-color immunophenotyping. Cytometry supp. 6:43, 1993.
19. Olson RJ, Vaulot D, Chisholm SW: Marine phytoplankton distributions measured using shipboard flow cytometry. Deep-Sea Res 32: 1273-1280, 1985.
20. Olson RJ, Zettler ER, Chisholm SW, Dusenberry JA: Advances in oceanography through flow cytometry. In: NATO ASI Series, vol. G27. Particle Analysis in Oceanography, Demers S (ed). Springer-Verlag, New York, pp 351-399, 1991.
21. Ravdin PM, Clark GM, Hough JJ, Owens MA, McGuire WL: Neural network analysis of DNA flow cytometry histograms. Cytometry 14:74-80, 1993.
22. Rumelhart DE, McClelland JL: Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. I. MIT Press, Cambridge, MA, 1987.
23. Salzman GC, Parson JD, Beckman RJ, Stewart SJ, Stewart CC: Autogate: A Macintosh cluster analysis program for flow cytometry data. Cytometry Supp. 6:43, 1993.
24. Schwartz A, Fernandez-Repollet E: Development of clinical standards for flow cytometry. Ann New York Acad Sci 677:28-39, 1993.
25. Sneath PHA, Sokal RR: Numerical Taxonomy, the Principles and Practice of Numerical Classification. WH Freeman, San Francisco, 1973.
26. Terstappen LWMM, Shah VO, Conrad MP, Recktenwald D, Loken, MR: Discriminating between damaged and intact cells in fixed flow cytometric samples. Cytometry 9:477-484, 1988.
27. Valet G, Valet M, Schweiger M: Classif1, A generalized, MS-DOS based, self learning flow cytometric list mode classifier. Cytometry Supp. 6:16, 1993.
28. Vogt RF, Cross GD, Henderson LO, Phillips DL: Model system evaluating fluorescein-labeled microbeads as internal standards to calibrate fluorescence intensity on flow cytometers. Cytometry 10: 294-302, 1989.
29. Vogt RF, Hetzel AD, Margolick JB, Marti GE, Schwartz A: Unattended batch analysis of lymphocyte phenotypes in archived listmode files using the cleansweep cluster separation algorithm: Cytometry supp. 6:42, 1993.
30. Waterbury JB, Watson SW, Valois SW, Franks DDG: Biological and ecological characterization of the marine unicellular cyanobacterium Synechococcus. Canadian Bull Fish Aqua Sci 214:71-120, 1986.