Abstract: Aspects of the present disclosure include methods for determining baseline noise of a photodetector (e.g., in a light detection system of a particle analyzer). Methods according to certain embodiments include irradiating a sample having particles in a flow stream, detecting light with the photodetector from the irradiated flow stream, generating data signals from the detected light and calculating a moving average mean squared error of the generated data signals to determine the baseline of the photodetector. Systems (e.g., particle analyzers) having a light source and a light detection system that includes a photodetector for practicing the subject methods are also described. Integrated circuits and non-transitory computer readable storage medium are also provided.

Abstract: Droplet sorting modules for sorting droplets of a flow stream are described. Droplet sorting modules according to certain embodiments include a plurality of droplet sort decision units and a processor with memory operably coupled to the processor, where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to determine an optimal droplet sort decision unit from the plurality of sort decision units for sorting each droplet of the flow stream. Particle (e.g., cells) sorting systems and methods for sorting droplets of a flow stream are also described. Kits having one or more of the subject droplet sorting modules are also provided.

Abstract: Droplet sorting modules for sorting droplets of a flow stream are described. Droplet sorting modules according to certain embodiments include a plurality of droplet sort decision units and a processor with memory operably coupled to the processor, where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to determine an optimal droplet sort decision unit from the plurality of sort decision units for sorting each droplet of the flow stream. Particle (e.g., cells) sorting systems and methods for sorting droplets of a flow stream are also described. Kits having one or more of the subject droplet sorting modules are also provided.

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.

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.

Abstract: Aspects of the present disclosure include methods for flow cytometrically sorting a sample with particles, such as cells, based on order of identification. Methods according to certain embodiments include introducing the sample into a flow cytometer; flowing the introduced sample in a flow stream; irradiating the sample in the flow stream with a light source; detecting light from cells in the sample flowing in the flow stream; identifying phenotypes of cells in the sample flowing in the flow stream based on one or more data signals generated from the detected light; and dynamically sorting into partitions cells of the sample that have a phenotype of a collection of predetermined phenotypes based on order of identification. Systems for practicing the subject methods are also provided. Non-transitory computer readable storage mediums are also described.

Abstract: Aspects of the present disclosure include methods for determining baseline noise of a photodetector (e.g., in a light detection system of a particle analyzer). Methods according to certain embodiments include irradiating a sample having particles in a flow stream, detecting light with the photodetector from the irradiated flow stream, generating data signals from the detected light and calculating a moving average mean squared error of the generated data signals to determine the baseline of the photodetector. Systems (e.g., particle analyzers) having a light source and a light detection system that includes a photodetector for practicing the subject methods are also described. Integrated circuits and non-transitory computer readable storage medium are also provided.

Abstract: Droplet sorting modules for sorting droplets of a flow stream are described. Droplet sorting modules according to certain embodiments include a plurality of droplet sort decision units and a processor with memory operably coupled to the processor, where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to determine an optimal droplet sort decision unit from the plurality of sort decision units for sorting each droplet of the flow stream. Particle (e.g., cells) sorting systems and methods for sorting droplets of a flow stream are also described. Kits having one or more of the subject droplet sorting modules are also provided.

Abstract: Aspects of the present disclosure include methods for flow cytometrically sorting a sample with particles, such as cells, based on order of identification. Methods according to certain embodiments include introducing the sample into a flow cytometer; flowing the introduced sample in a flow stream; irradiating the sample in the flow stream with a light source; detecting light from cells in the sample flowing in the flow stream; identifying phenotypes of cells in the sample flowing in the flow stream based on one or more data signals generated from the detected light; and dynamically sorting into partitions cells of the sample that have a phenotype of a collection of predetermined phenotypes based on order of identification. Systems for practicing the subject methods are also provided. Non-transitory computer readable storage mediums are also described.

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.

Abstract: Droplet sorting modules for sorting droplets of a flow stream are described. Droplet sorting modules according to certain embodiments include a plurality of droplet sort decision units and a processor with memory operably coupled to the processor, where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to determine an optimal droplet sort decision unit from the plurality of sort decision units for sorting each droplet of the flow stream. Particle (e.g., cells) sorting systems and methods for sorting droplets of a flow stream are also described. Kits having one or more of the subject droplet sorting modules are also provided.

Abstract: Droplet sorting modules for sorting droplets of a flow stream are described. Droplet sorting modules according to certain embodiments include a plurality of droplet sort decision units and a processor with memory operably coupled to the processor, where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to determine an optimal droplet sort decision unit from the plurality of sort decision units for sorting each droplet of the flow stream. Particle (e.g., cells) sorting systems and methods for sorting droplets of a flow stream are also described. Kits having one or more of the subject droplet sorting modules are also provided.