Enhancing flow cytometry discrimination with geometric transformation
US11408813B2 · kind B2 · utility
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Key dates
| Filing date | Nov 18, 2019 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Jul 5, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01N2015/1006
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
In flow cytometry, particles (2) can be distinguished between populations (8) by combining n-dimensional parameter data, which may be derived from signal data from a particle, to mathematically achieve numerical results representative of an alteration (48). An alteration may include a rotational alteration, a scaled alteration, or perhaps even a translational alteration. Alterations may enhance separation of data points which may provide real-time classification (49) of signal data corresponding to individual particles into one of at least two populations.
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