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Updated: Aug 1, 2026

Analysis of Cell Suspensions Isolated from Solid Tissues by Spectral Flow Cytometry
Published on: May 5, 2017
Spectral analysis of flow cytometric data: design of a special-purpose low-pass digital filter
P M Sloot1, P Tensen, C G Figdor
1Division of Biophysics, Netherlands Cancer Institute, Antoni van Leeuwenhoek Huis, Amsterdam.
Abstract:
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.
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