An in situ probe for on-line monitoring of cell density and viability on the basis of dark field microscopy in conjunction with image processing and supervised machine learning

Biotechnology and Bioengineering

Volumn 97, Issue 6, 2007, Pages 1489-1500

  Wei, Ning ^a   You, Jia ^a   Friehs, Karl ^a   Flaschel, Erwin ^a   Nattkemper, Tim Wilhelm ^a  

^a BIELEFELD UNIVERSITY   (Germany)

Author keywords

Cell density; Dark field microscopy; Image processing; On line measurement; Support vector machine; Viability

Indexed keywords

CCD CAMERAS; FERMENTATION; IMAGE PROCESSING; IN SITU PROCESSING; MICROSCOPIC EXAMINATION; SUPPORT VECTOR MACHINES; YEAST;

CELL DENSITY; CELL VIABILITY; DARK FIELD MICROSCOPY; ON-LINE MEASUREMENT;

CELL CULTURE;

ARTICLE; BIOREACTOR; BRIGHT FIELD MICROSCOPY; CAMERA; CELL DENSITY; CELL GROWTH; CELL SEPARATION; CELL VIABILITY; CONTROLLED STUDY; ILLUMINATION; IMAGE PROCESSING; MACHINE LEARNING; MATHEMATICAL MODEL; MICROSCOPY; NONHUMAN; ONLINE SYSTEM; SACCHAROMYCES CEREVISIAE; SUPPORT VECTOR MACHINE;

ARTIFICIAL INTELLIGENCE; CELL COUNT; CELL CULTURE TECHNIQUES; CELL SURVIVAL; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LIGHTING; MICROSCOPY; ONLINE SYSTEMS; PATTERN RECOGNITION, AUTOMATED; SACCHAROMYCES CEREVISIAE; TRANSDUCERS;

SACCHAROMYCES CEREVISIAE;

EID: 34547646206     PISSN: 00063592     EISSN: 10970290     Source Type: Journal    
DOI: 10.1002/bit.21368     Document Type: Article

References (25)

1. Bittner C, Wehnert G, Scheper T. 1998. In situ microscopy for on-line determination of biomass. Biotechnol Bioeng 60:24-35.
2. Castro-Concha LA, Escobedo RM, Miranda-Ham M. 2006. Measurement of cell viability in in vitro cultures. Plant Cell Culture Protocols, 2nd ed. Humana Press. Totowa, NJ
3. Claes JE, Van Impe JF. 1999. On-line estimation of the specific growth rate based on viable biomass measurements: experimental validation. Bioproc Biosyst Eng 21:389-395.
4. Cook JA, Mitchell JB. 1989. Viability measurements in mammalian cell systems. Anal Biochem 179:1-7.
5. Cortes C, Vapnik V. 1995. Support-vector networks. Mach Learn 20:273-297.
6. Harris CM, Kell DB. 1985. The estimation of microbial biomass. Biosensors 1:17-84.
7. Haykin SS. 1999. Neural Networks: A Comprehensive Foundation, 2nd ed. Upper Saddle River, New Jersey, the U. S: Prentice Hall, p. 318-347.
8. Heath JP. 2005. Dictionary of Microscopy. Chichester, England: John Wiley & Sons, 357 p.
9. Heggart H, Margaritis A, Stewart RJ, Pilkington M, Sobezak J, Russell I. 2000. Measurement of brewing yeast viability and vitality: a review of methods. Tech q. - Master Brew Assoc Am 37:409-430.
10. Huls PG, Nanninga N, Van Spronsen E. 1992. A computer-aided measuring system for the characterization of yeast populations combining 2D-image analysis, electronic particle counter, and flow cytometry. Biotechnol Bioeng 39:343-350.
11. Joeris K, Frerichs JG, Konstantinov K, Sch+eper T. 2002. In-situ microscopy: online process monitoring of mammalian cell cultures. Cytotechnology 38:129-134.
12. Kronlof J. 1991. Evaluation of a capacitance probe for determination of viable yeast biomass. Proceedings of the 23rd European Brewing Congress, Lisbon, European Brewing Convention. 233-240.
13. Long X, Cleveland WL, Yao YL. 2006. Automatic detection of unstained viable cells in bright field images using a support vector machine with an improved training procedure. Comput Biol Med 36: 339-362.
14. Nattkemper TW, Ritter HJ, Schubert W. 2001. A neural classifier enabling high-throughput topological analysis of lymphocytes in tissue sections. IEEE T Inf Technol B 5:138-149.
15. Nattkemper TW, Twellmann T, Ritter H, Schubert W. 2003. Human vs. machine: evaluation of fluorescence micrographs. Comput Biol Med 33:31-43.
16. Pons MN, Vivier H, Remy JF, Dodds JA. 1993. Morphological characterization of yeast by image analysis. Biotechnol Bioeng 42:1352-1359.
17. Rätsch M, Romdhani S, Vetter T. 2004. Efficient face detection by a cascaded support vector machine using haar-like features. Lect Notes Comput Sci 3175:62-70.
18. Scheper T. 1991. Bioanalytik. Braunschweig, Germany: Vieweg-Verlag.
19. Sonnleitner B, Locher G, Fiechter A. 1992. Biomass determination. J Biotechnol 25:5-22.
20. Suhr H, Wehnert G, Schneider K, Bittner C, Scholz T, Geissler P, Jähne B, Scheper T. 1995. In situ microscopy for on-line characterization of cell-populations in bioreactors, including cell-concentration measurements by depth from focus. Biotechnol Bioeng 47:106-116.
21. Thomas CR, Paul GC. 1996. Applications of image analysis in cell biology. Curr Opin Biotechnol 7:35-45.
22. Van Imple J, Iserentant D, Vanrolleghem P. 1998. Advanced Instrumentation, Data Interpretation and Control of Biotechnological Processes, Dordrecht, The Netherlands: Kluwer Academic Publishers, p. 41-66.
23. Vecht-Lifshitz SE, Ison AP. 1992. Biotechnological applications of image analysis: present and future prospects. J Biotechnol 23:1-18.
24. Watson RWJ, Austin GD, D'Amore T. 1994. Studies of on-line viable yeast biomass with a capacitance biomass monitor. Biotechnol Bioeng 43:337-341.
25. Wei N, Flaschel E, Saalbach A, Twellmann T, Nattkemper TW. 2005. Reagent-free automatic cell viability determination using neural network based machine vision and dark-field microscopy in Saccharomyces cerevisiae. Proceedings of the 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1-4 September 2005, Shanghai, China.