Systems and methods for comprehensive and standardized immune system phenotyping and automated cell classification

A computer-implemented method for generating an immune profile for a subject, the method comprising:

• receiving fluorescence intensity data, or data derived therefrom, generated using a full spectrum flow cytometer to process a fluorescently-labeled cell sample collected from the subject;
• providing at least a subset of the fluorescence intensity data, or data derived therefrom, for a plurality of fluorescently-labeled cells as input to an ensemble machine learning model configured to process the fluorescence intensity data, or data derived therefrom, and classify individual cells of the plurality of fluorescently-labeled cells as belonging to one of a plurality of distinct immune cell sub-populations;
• and
• outputting a total cell count or cell frequency for each of the plurality of distinct immune cell sub-populations in the sample as part of an immune profile for the subject.

A system comprising:

• one or more processors;
• and
• a memory communicatively coupled to the one or more processors and configured to store instructions that, when executed by the one or more processors, cause the system to:
• receive fluorescence intensity data, or data derived therefrom, generated using a full spectrum flow cytometer to process a fluorescently-labeled cell sample collected from a subject;
• provide at least a subset of the fluorescence intensity data, or data derived therefrom, for a plurality of fluorescently-labeled cells as input to an ensemble machine learning model configured to process the fluorescence intensity data, or data derived therefrom, and classify individual cells of the plurality of fluorescently-labeled cells as belonging to one of a plurality of distinct immune cell sub-populations;
• and
• output a total cell count or cell frequency for each of the plurality of distinct immune cell sub-populations in the sample as part of an immune profile for the subject.