Becton, Dickinson and Company
METHODS FOR IDENTIFYING SATURATED DATA SIGNALS IN CELL SORTING AND SYSTEMS FOR SAME

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Abstract:

Aspects of the present disclosure include methods for adjusting a particle classification index in response to one or more saturated data signals from light detected from particles in a flow stream. Methods according to certain embodiments include detecting light from particles in a flow stream; generating a plurality of data signals from the detected light; identifying one or more saturated data signals; generating a saturated signal index that corresponds to the identified saturated data signals; and applying the saturated signal index to a particle classification index to generate an adjusted particle classification index. In some embodiments, methods include determining one or more parameters of a particle (e.g., for use in a particle sort decision) by calculating an adjusted spectral unmixing matrix for the fluorescence of the particle that excludes one or more saturated data signals. Systems and integrated circuit devices (e.g., a field programmable gate array) for practicing the subject methods are also provided. Non-transitory computer readable storage mediums are also described.

Status:
Application
Type:

Utility

Filling date:

28 Jan 2021

Issue date:

2 Sep 2021