Book contents
- Frontmatter
- Contents
- 1 Introduction
- 2 Fundamental concepts
- 3 Probability functions
- 4 Significance testing and fit criteria
- 5 Regression analysis
- 6 Flow cytometric sources of variation
- 7 Immunofluorescence data
- 8 DNA histogram analysis
- 9 Cell-cycle kinetics
- 10 Dynamic cellular events
- 11 Multivariate analysis primer
- 12 Epilogue
- Appendix 1: Numerical integrating routine
- Appendix 2: Normal distribution probabilities
- Appendix 3: Variance ratio tables
- Appendix 4: Mann-Whitney U tables
- Appendix 5
- Appendix 6: Regression analysis for y on x
- Appendix 7
- Appendix 8
- Appendix 9
- References
- Index
1 - Introduction
Published online by Cambridge University Press: 27 October 2009
- Frontmatter
- Contents
- 1 Introduction
- 2 Fundamental concepts
- 3 Probability functions
- 4 Significance testing and fit criteria
- 5 Regression analysis
- 6 Flow cytometric sources of variation
- 7 Immunofluorescence data
- 8 DNA histogram analysis
- 9 Cell-cycle kinetics
- 10 Dynamic cellular events
- 11 Multivariate analysis primer
- 12 Epilogue
- Appendix 1: Numerical integrating routine
- Appendix 2: Normal distribution probabilities
- Appendix 3: Variance ratio tables
- Appendix 4: Mann-Whitney U tables
- Appendix 5
- Appendix 6: Regression analysis for y on x
- Appendix 7
- Appendix 8
- Appendix 9
- References
- Index
Summary
Flow cytometry is now a well established technique in cell biology and is gaining increasing use in clinical medicine. The major applications to date in the latter have been in DNA histogram analysis to determine “ploidy” (DNA index, Hidderman et al. 1984) and S-phase fractions for prognostic purposes in cancer patients and in immunophenotyping (Parker 1988). However, more recent applications in cancer work include determination of tumour cell production rate using bromodeoxyuridine (Begg et al. 1985) and estimations which relate to therapy resistance including glutathione, drug efflux mechanisms and membrane transport (Watson 1991). The power of the technology relates to its capacity to make very rapid multiple simultaneous measurements of fluorescence and light scatter at the individual cell level and hence to analyse heterogeneity in mixed populations.
The early commercial instruments were somewhat fearsome beasts with vast arrays of knobs, switches, dials, oscilloscopes and wires hanging out all over the place. At best, they tended to be regarded as “user non-friendly” and at worst as “non-user friendly”. However, the recent generation of machines have been simplified considerably, with the in-house computer taking over many of the tasks which the operator previously had to perform manually. The undoubted “user-friendliness” of these modern instruments, together with the relative reduction in initial capital outlay, is a considerable advantage as it makes the technology available to many more users.
- Type
- Chapter
- Information
- Flow Cytometry Data AnalysisBasic Concepts and Statistics, pp. 1 - 3Publisher: Cambridge University PressPrint publication year: 1992
- 1
- Cited by