US 11,788,948 B2
Cytometry system and method for processing one or more target cells from a plurality of label-free cells
Sadao Ota, Tokyo (JP); Ryoichi Horisaki, Osaka (JP); Yoko Kawamura, Tokyo (JP); Masashi Ugawa, Tokyo (JP); and Issei Sato, Tokyo (JP)
Assigned to ThinkCyte, Inc., Tokyo (JP); University of Tokyo, Tokyo (JP); and Osaka University, Osaka (JP)
Filed by ThinkCyte, Inc., Tokyo (JP); University of Tokyo, Tokyo (JP); and Osaka University, Osaka (JP)
Filed on Dec. 8, 2020, as Appl. No. 17/115,657.
Application 17/115,657 is a continuation of application No. PCT/US2019/036849, filed on Jun. 12, 2019.
Claims priority of provisional application 62/848,478, filed on May 15, 2019.
Claims priority of provisional application 62/804,560, filed on Feb. 12, 2019.
Claims priority of provisional application 62/701,395, filed on Jul. 20, 2018.
Claims priority of provisional application 62/684,612, filed on Jun. 13, 2018.
Prior Publication US 2021/0190669 A1, Jun. 24, 2021
Int. Cl. G01N 15/14 (2006.01); G01N 15/10 (2006.01)
CPC G01N 15/1434 (2013.01) [G01N 15/1459 (2013.01); G01N 2015/1006 (2013.01); G01N 2015/145 (2013.01); G01N 2015/149 (2013.01); G01N 2015/1497 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for processing one or more target cells from a plurality of label-free cells, comprising:
(a) obtaining spatial information of the plurality of label-free cells using a detector, wherein obtaining the spatial information occurs during motion of the plurality of label-free cells relative to a patterned optical structure;
(b) compressively converting the spatial information into one or more temporal wave forms, wherein the one or more temporal waveforms comprise one or more intensity distributions imparted by the patterned optical structure; and
(c) applying one or more machine learning classifiers to the one or more temporal waveforms to identify the one or more target cells from the plurality of label-free cells.