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US 9,958,393 B2Granted
Principle component analysis (PCA)-based analysis of discontinuous emission spectra in multichromatic flow cytometry
AssigneeDeutsches Rheuma-Forschungszentrum Berlin
InventorsToralf Kaiser, Jenny Kirsch, Andreas Gruetzkau
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Abstract
The invention relates to a system for acquiring discontinuous emission spectra data, whereby the data is analyzed by a multivariate statistic model or equivalent model, such as principal component analysis and the use of the system for flow cytometry.
Claims13
Flow cytometric system for acquiring, storing and analyzing discontinuous emission spectra data from particles, comprising:
- a light source providing an illumination beam,
- a flow cell having a detection region in which the illumination beam illuminates the passing particles within the detection region, the particles emitting an emission spectra of fluorescent light upon illumination from the illumination beam,
- two to ten optical bandpass filters which divide the emission spectra of fluorescent light from the particles almost gaplessly into at least two and up to ten separate wavelength bands,
- light detectors which receive the divided emission spectra from the optical bandpass filters, and
- a data processor programmed to:
- process the discontinuous emission spectra data acquired from the fluorescent light emitted by the particles passed through said flow cell, and
- analyze the discontinuous emission spectra data of the at least two and up to ten separate wavelength bands divided by the optical bandpass filters via a multivariate statistic model;
- and
- wherein the optical bandpass filters are positioned between the flow cell and the light detectors.
6 more elements
Dependencies are inferred from the claim text.