US 11,927,523 B2
Enhancing flow cytometry discrimination with geometric transformation
George C. Malachowski, Melbourne (AU); Paul Barclay Purcell, Ouray, CO (US); Edward Allan Stanton, Longmont, CO (US); and Kenneth Michael Evans, College Station, TX (US)
Assigned to Beckman Coulter, Inc., Brea, CA (US)
Filed by Beckman Coulter, Inc., Brea, CA (US)
Filed on Jul. 11, 2022, as Appl. No. 17/862,114.
Application 15/829,566 is a division of application No. 15/458,827, filed on Mar. 14, 2017, granted, now 9,835,541, issued on Dec. 5, 2017.
Application 17/862,114 is a continuation of application No. 16/687,457, filed on Nov. 18, 2019, granted, now 11,408,813.
Application 16/687,457 is a continuation of application No. 15/829,566, filed on Dec. 1, 2017, granted, now 10,495,562, issued on Dec. 3, 2019.
Application 15/458,827 is a continuation of application No. 14/819,311, filed on Aug. 5, 2015, granted, now 9,625,367, issued on Apr. 18, 2017.
Application 14/819,311 is a continuation of application No. 11/632,870, granted, now 9,134,220, issued on Sep. 15, 2015, previously published as PCT/US2005/026673, filed on Jul. 27, 2005.
Claims priority of provisional application 60/591,957, filed on Jul. 27, 2004.
Prior Publication US 2023/0168177 A1, Jun. 1, 2023
Int. Cl. G01N 15/14 (2006.01); G01N 15/00 (2006.01); G01N 15/10 (2006.01); G01N 33/50 (2006.01)
CPC G01N 15/1429 (2013.01) [G01N 15/1436 (2013.01); G01N 15/1468 (2013.01); G01N 15/1475 (2013.01); G01N 33/5005 (2013.01); G01N 2015/0065 (2013.01); G01N 2015/1006 (2013.01); G01N 2015/149 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of flow cytometry comprising the steps of:
establishing a fluid stream;
entraining particles in said fluid stream;
detecting a first signal affiliated with individual particles in said fluid stream;
detecting at least one additional signal affiliated with said individual particles;
converting said first signal and said at least one additional signal affiliated with said individual particles into n-dimensional parameter data;
providing an n-dimensional space alteration function having alteration values based upon an angle of rotation to increase discrimination of at least two populations of said n-dimensional parameter data;
combining said n-dimensional parameter data with the n-dimensional space alteration function to mathematically achieve numerical results representative of a rotational alteration;
distinguishing said at least two populations of said n-dimensional parameter data;
real-time classifying said n-dimensional parameter data of each of said individual particles into one of said at least two populations based upon said numerical results representative of said rotational alteration; and
sorting said individual particles based upon said real-time classification.