I. THEORETICAL OUTLINE OF A NEW METHOD TO ANALYZE TIME SEQUENCES OF DNA HISTOGRAMS
- 1 September 1980
- journal article
- research article
- Published by Wiley in Cell Proliferation
- Vol. 13 (5) , 461-471
- https://doi.org/10.1111/j.1365-2184.1980.tb00487.x
Abstract
A new mathematical method is presented to analyze a time sequence of DNA distributions taken from perturbed cell populations. The method, called FPi analysis, consists of plotting the time variation of the fraction of cells in selected DNA contents windows of the histogram. Kinetic information about the flow of cells through the cycle after the perturbation can be estimated from the FPi curves. An analysis of the method reveals that the method yields accurate results for the instrumental and cytochemical variations obtainable by present technology. The value of the method lies in the fact that the information needed can be obtained directly from the measured DNA distribution, bypassing the problems with other methods which estimate the fraction of cells in a given phase directly from a single histogram.This publication has 12 references indexed in Scilit:
- Cell cycle analysis in vitro using flow cytofluorimetry after synchronizationBritish Journal of Cancer, 1977
- Quantitative analysis of flow microfluorometric data from asynchronous and drug-treated cell populationsComputers and Biomedical Research, 1976
- Method for the quantitative evaluation of data from flow microfluorometryComputers and Biomedical Research, 1976
- A Discrete-Time Model for Cell-Age, Size, and DNA Distributions of Proliferating Cells, and its Application to the Movement of the Labeled CohortIEEE Transactions on Biomedical Engineering, 1974
- CELL CYCLE ANALYSIS FROM COMPUTER SYNTHESIS OF DEOXYRIBONUCLEIC ACID HISTOGRAMSJournal of Histochemistry & Cytochemistry, 1974
- Cell-Cycle Analysis in 20 MinutesScience, 1974
- MATHEMATICAL ANALYSIS OF DNA DISTRIBUTIONS DERIVED FROM FLOW MICROFLUOROMETRYThe Journal of cell biology, 1974
- Curve fitting by spline and akima methods: possibility of interpolation error and its suppressionPhysics in Medicine & Biology, 1973
- The Stochastic Theory of Cell ProliferationBiophysical Journal, 1968