Spectral analysis of flow cytometric data : design of a special-purpose low-pass digital filter.
Sloot, Peter M. A.
Figdor, Carl G.
Date of Issue1987
School of Computer Engineering
Spectral decomposition of flow cytometric datafiles of arbitrary dimension reveal information of both the signal and the noise components that constitute the histograms. This spectral information is used to construct a low-pass digital filter, which removes the high-frequency noise from the actual data. It is shown that this procedure guarantees non-trivial smoothing of the flow cytometric data in accordance with the local experimental situation. As a consequence optimal reconstruction of the signal is possible, which facilitates unambiguous interpretation of the data files and mathematical estimation of the statistical parameters.
DRNTU::Engineering::Computer science and engineering
© 1987 Alan It Liss, Inc.