Systems for analyzing multimodal flow cytometry dataset and methods for using same

Abstract

Aspects of the present disclosure include systems for classifying cells (e.g., single cells) of a sample in a flow stream such as from biological parameters determined from feature vectors. Systems according to certain embodiments include a light source configured to irradiate cells of a sample in a flow stream, a light detection system having a photodetector to detect light from the irradiated cells and a processor having memory operably coupled to the processor where the memory includes instructions stored thereon, which when executed by the processor, cause the processor to receive two or more data sets, where each of the two or more data sets is associated with one of a plurality of data modes, apply an algorithm to convert each of the two or more data sets into a feature vector based on the associated data mode, receive a classification task regarding the two or more data sets and apply one or more of a plurality of classification models to the feature vector based on the received classification task to determine a class. Methods for using the subject systems are also described. Non-transitory computer readable storage media are also provided.

Dependencies are inferred from the claim text.