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Spectral analysis of flow cytometric data: Design of a special-purpose low-pass digital filter

✍ Scribed by Peter M. A. Sloot; Pieter Tensen; Carl G. Figdor


Publisher
John Wiley and Sons
Year
1987
Tongue
English
Weight
555 KB
Volume
8
Category
Article
ISSN
0196-4763

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✦ Synopsis


Spectral decomposition of flow cytometric datafiles of arbitrary dimension reveal infor

mation of both the signal and the noise cornponents that constitute the histograms. This spectral information is used to construct a low-pass digital filter, which removes the cal parameters. high-frequency noise from the actual data. It is shown that this procedure guarantees nontrivial smoothing of the flow cytometric data in accordance with the local experimental situation. Gs a consequence optimal reconstruction of the signal is possible, which facilitates unambiguous interpretation of the data files and mathematical estimation of the statisti-