Enhancing flow cytometry discrimination with computer-implemented geometric transformation

摘要

There is provided a computer program for performing the steps in a flow cytometry system of:
(a) converting a first signal and at least one additional signal affiliated with individual particles in a fluid stream in a flow cytometry system into n-dimensional parameter data, where n is equal to the number of signals, wherein at least two populations of said individual particles overlap in one of said n-dimensions;
(b) mathematically altering the n-dimensional parameter data by at least rotating (48) the n-dimensional parameter data to create a better spatial separation in the dimension that is overlapped; and
(c) real-time classifying (49) said n-dimensional parameter data of each of said individual particles into one of said at least two populations (8) using said rotated n-dimensional parameter data;
to facilitate sorting said individual particles based upon said real-time classification.