IP Library › Granted Patent US 12,235,202
Granted Patent B2
US 12,235,202 · App. 17/847,478 · Granted Feb 25, 2025

Flow cytometer performance evaluation method and standard particle suspension

Inventor: Keiji Nakagawa (Tokyo, JP)
Assignee: ThinkCyte K.K.
G01N15/1468G01N15/1012G01N15/1459G01N2015/1014G01N15/149
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Quick Facts
Patent No.
US 12,235,202
App. No.
17/847,478
Granted
Feb 25, 2025
Kind
B2
Abstract

A method of evaluating performance of a flow cytometer configured to use a combination of two or more types of calibration particles having different morphologies from each other, includes a first classification step of classifying the calibration particles from each other based on a first optical characteristic by the flow cytometer which is an evaluation target, a second classification step of classifying the calibration particles from each other based on a second optical characteristic which is classifiable at a spatial resolution lower than a spatial resolution at which the first optical characteristic is classified, and the evaluation step of evaluating one or both of particle classification performance and a resolution of the flow cytometer based on a first classification result assessed in the first classification step and a second classification result assessed in the second classification step.

Claims (30)

1. A method of evaluating performance of a flow cytometer configured to use two or more types of calibration particles having different morphologies from each other in combination, comprising:

a first discrimination step of discriminating the two or more types of calibration particles from each other based on a first optical characteristic by the flow cytometer, wherein the flow cytometer is an evaluation target;

a second discrimination step of discriminating the two or more types of calibration particles from each other based on a second optical characteristic which is discriminable at a spatial resolution lower than a spatial resolution at which the first optical characteristic is discriminated; and

an evaluation step of evaluating one or both of a particle discrimination performance and a resolution of the flow cytometer based on a first discrimination result assessed in the first discrimination step and a second discrimination result assessed in the second discrimination step, wherein the two or more types of calibration particles further have third optical characteristics which are substantially same as each other.

2. The method of claim 1 , wherein the two or more types of calibration particles are used in a form in which a combination of the two or more types of calibration particles is mixed in advance and contained in a standard particle suspension.

3. The method of claim 1 , wherein the flow cytometer is configured to directly classify the two or more types of calibration particles, without using two-dimensional images of the two or more types of calibration particles, from time-series waveform information of an optical signal acquired based on the first optical characteristic.

4. The method of claim 3 , wherein the first discrimination step is performed using ghost cytometry, and the two or more types of calibration particles are classified based on morphological information reflected in the optical signal detected as the first optical characteristic.

5. A standard particle suspension for evaluating performance of a flow cytometer,

wherein the standard particle suspension contains a combination of two or more types of calibration particles, and the two or more types of calibration particles have different first optical characteristics from each other and different second optical characteristics from each other, wherein the second optical characteristics are discriminable at a spatial resolution lower than a spatial resolution at which the first optical characteristics are discriminated, wherein the two or more types of calibration particles further have third optical characteristics which are substantially same as each other.

6. The standard particle suspension of claim 5 , wherein the third optical characteristics are intensities of scattered light emitted from the two or more types of calibration particles in response to an illumination light emitted to the two or more types of calibration particles.

7. The standard particle suspension of claim 5 , wherein the first optical characteristics are associated with morphologies of the two or more types of calibration particles.

8. The standard particle suspension of claim 5 , wherein the second optical characteristics are wavelengths or intensities of fluorescence emitted by the two or more types of calibration particles in response to emitted light.

9. The standard particle suspension of claim 5 , wherein a specific gravity of the two or more types of calibration particles with respect to the standard particle suspension is from 0.8 to 1.2.

10. The standard particle suspension of claim 5 , wherein a size of the two or more types of calibration particles is at least 0.1 micrometers (μm).

11. The standard particle suspension of claim 5 , wherein the two or more types of calibration particles are composed of materials containing agarose gel, polyethylene glycol, or polystyrene, or any combination thereof.

12. The standard particle suspension of claim 5 , wherein a size of one or more calibration particles of the two or more types of calibration particles is at most 100 μm.

13. A method, comprising:

(a) providing a first population of particles and a second population of particles, wherein a particle of the first population of particles comprises a different morphology from an additional particle of the second population of particles, wherein (i) the particle of the first population of particles comprises a first optical characteristic, a second optical characteristic, and a third optical characteristic, and (ii) the additional particle of the second population of particles comprises a fourth optical characteristic, a fifth optical characteristic, and a sixth optical characteristic, wherein the first optical characteristic is a same first type of optical characteristic as the fourth optical characteristic, and the second optical characteristic is a same second type of optical characteristic as the fifth optical characteristic, wherein the third optical characteristic is substantially same as the sixth optical characteristic;

(b) using a flow cytometer to discriminate the particle from the additional particle using the first optical characteristic and the fourth optical characteristic, thereby generating a first result;

(c) discriminating the particle from the additional particle using the second optical characteristic and the fifth optical characteristic, thereby generating a second result, wherein the second optical characteristic and the fifth optical characteristic are discriminable at a spatial resolution lower than a spatial resolution at which the first optical characteristic and the fourth optical characteristic are discriminated; and

(d) analyzing the first result and the second result to evaluate a particle discrimination performance or a resolution of the flow cytometer.

14. The method of claim 13 , wherein the first type of optical characteristic is associated with a morphology of the particle or the additional particle.

15. The method of claim 13 , wherein the second type of optical characteristic is associated with a fluorescence intensity or a fluorescence wavelength of the particle or the additional particle.

16. The method of claim 13 , wherein the third optical characteristic or the sixth optical characteristic are associated with an intensity of scattered light, wherein the particle is not discriminable from the additional particle.

17. The method of claim 13 , wherein the analyzing, in (d), is based on a degree of coincidence between the first result and the second result.

18. A composition, comprising:

a first population of particles and a second population of particles, wherein a particle of the first population of particles comprises a different morphology from an additional particle of the second population of particles, wherein (i) the particle of the first population of particles comprises a first optical characteristic, a second optical characteristic, and a third optical characteristic, and (ii) the additional particle of the second population of particles comprises a fourth optical characteristic, a fifth optical characteristic, and a sixth optical characteristic, wherein the first optical characteristic is a same first type of optical characteristic as the fourth optical characteristic, and the second optical characteristic is a same second type of optical characteristic as the fifth optical characteristic, wherein the first optical characteristic is different from the fourth optical characteristic, wherein the second optical characteristic is different from the fifth optical characteristic, wherein the second optical characteristic and the fifth optical characteristic are discriminable at a spatial resolution lower than a spatial resolution at which the first optical characteristic and the fourth optical characteristic are discriminated, wherein the third optical characteristic is substantially same as the sixth optical characteristic.

19. The composition of claim 18 , wherein the first type of optical characteristic is associated with a morphology of the particle or the additional particle.

20. The composition of claim 18 , wherein the second type of optical characteristic is associated with a fluorescence intensity or a fluorescence wavelength of the particle or the additional particle.

21. The composition of claim 18 , wherein the third optical characteristic or the sixth optical characteristic are associated with an intensity of scattered light of the particle or the additional particle.

Assignments (2)
CORRECTIVE ASSIGNMENT TO CORRECT THE SPELLING OF ASSIGNEE'S NAME PREVIOUSLY RECORDED ON REEL 060569 FRAME 0433. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT OF ASSIGNORS INTEREST. Recorded Jan 18, 2024
From: NAKAGAWA, KEIJI
To: THINKCYTE K.K.
Reel/Frame 066343/0433 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 20, 2022
From: NAKAGAWA, KEIJI
To: THINKCYTE, INC.
Reel/Frame 060569/0433 →
Priority Claims (1)
JP 2019-238089 · Dec 27, 2019 · national
Continuity (2)
Continuation PCTJP2020048503 · Dec 24, 2020
Related Publication 20220317020A1 · Oct 6, 2022
References Cited (400)
US 4537861A · Elings et al. · 1985 [cited by applicant]
US 5007737A · Hirleman, Jr. · 1991 [cited by applicant]
US 5017497A · Gerard De Grooth et al. · 1991 [cited by applicant]
US 5483469A · Van Den Engh et al. · 1996 [cited by applicant]
US 6064473A · Hironaga et al. · 2000 [cited by applicant]
US 6249341B1 · Basiji et al. · 2001 [cited by applicant]
US 6956230B1 · Gharib et al. · 2005 [cited by applicant]
US 7012738B1 · Schwarte · 2006 [cited by applicant]
US 7217573B1 · Oshida et al. · 2007 [cited by applicant]
US 7812303B2 · Meyers et al. · 2010 [cited by applicant]
US 8314933B2 · Cui et al. · 2012 [cited by applicant]
US 8582203B2 · Dunsby · 2013 [cited by applicant]
US 9069175B2 · Koebler et al. · 2015 [cited by applicant]
US 9134242B2 · Shaffer et al. · 2015 [cited by applicant]
US 9360660B2 · Yi et al. · 2016 [cited by applicant]
US 9518916B1 · Pandev et al. · 2016 [cited by applicant]
US 9645377B2 · Bosworth et al. · 2017 [cited by applicant]
US 9915598B2 · Kim et al. · 2018 [cited by applicant]
US 10646160B2 · Yelin et al. · 2020 [cited by applicant]
US 10761011B2 · Ota et al. · 2020 [cited by applicant]
US 10904415B2 · Horisaki et al. · 2021 [cited by applicant]
US 11054363B2 · Ota et al. · 2021 [cited by applicant]
US 11098275B2 · Ota et al. · 2021 [cited by applicant]
US 11412118B2 · Horisaki et al. · 2022 [cited by applicant]
US 11542461B2 · Ota et al. · 2023 [cited by applicant]
US 11549880B2 · Horisaki et al. · 2023 [cited by applicant]
US 11579075B2 · Ota et al. · 2023 [cited by applicant]
US 11630293B2 · Ugawa et al. · 2023 [cited by applicant]
US 11667875B1 · Nakagawa et al. · 2023 [cited by applicant]
US 11788948B2 · Ota et al. · 2023 [cited by applicant]
US 11861889B2 · Ota et al. · 2024 [cited by applicant]
US 11867610B2 · Ota et al. · 2024 [cited by applicant]
US 11906722B2 · Horisaki et al. · 2024 [cited by applicant]
US 20020041376A1 · Kurozumi et al. · 2002 [cited by applicant]
US 20030142289A1 · Ortyn · 2003 [cited by examiner]
US 20030162218A1 · Emalfarb et al. · 2003 [cited by applicant]
US 20040061914A1 · Miyawaki et al. · 2004 [cited by applicant]
US 20040189977A1 · Nagai et al. · 2004 [cited by applicant]
US 20050002030A1 · Kolp et al. · 2005 [cited by applicant]
US 20050046849A1 · Cromwell et al. · 2005 [cited by applicant]
US 20050051466A1 · Carter et al. · 2005 [cited by applicant]
US 20070091315A1 · Brady et al. · 2007 [cited by applicant]
US 20070151343A1 · Gross et al. · 2007 [cited by applicant]
US 20080195020A1 · Cabuz et al. · 2008 [cited by applicant]
US 20080214412A1 · Stahler et al. · 2008 [cited by applicant]
US 20090071225A1 · Schilffarth · 2009 [cited by applicant]
US 20090093807A1 · Hyde et al. · 2009 [cited by applicant]
US 20090153883A1 · Shinoda · 2009 [cited by applicant]
US 20090190121A1 · Hegyi et al. · 2009 [cited by applicant]
US 20090194702A1 · Meyers et al. · 2009 [cited by applicant]
US 20090248318A1 · Nagai et al. · 2009 [cited by applicant]
US 20090290156A1 · Popescu et al. · 2009 [cited by applicant]
US 20100170796A1 · Bhatia et al. · 2010 [cited by applicant]
US 20100284016A1 · Teitell et al. · 2010 [cited by applicant]
US 20100294916A1 · Meyers et al. · 2010 [cited by applicant]
US 20120001090A1 · Takasaki et al. · 2012 [cited by applicant]
US 20120004514A1 · Marugame · 2012 [cited by applicant]
US 20120069170A1 · Gesley · 2012 [cited by applicant]
US 20120122084A1 · Wagner et al. · 2012 [cited by applicant]
US 20120128264A1 · Yazdanfar et al. · 2012 [cited by applicant]
US 20120200857A1 · Sharpe et al. · 2012 [cited by applicant]
US 20130016335A1 · Lo et al. · 2013 [cited by applicant]
US 20130078733A1 · Holmes et al. · 2013 [cited by applicant]
US 20130102865A1 · Mandelis et al. · 2013 [cited by applicant]
US 20130155499A1 · Dixon · 2013 [cited by applicant]
US 20130163844A1 · Ozaki et al. · 2013 [cited by applicant]
US 20130176533A1 · Raffle et al. · 2013 [cited by applicant]
US 20130200277A1 · Li et al. · 2013 [cited by applicant]
US 20130204538A1 · Rich · 2013 [cited by applicant]
US 20130308122A1 · Merchez et al. · 2013 [cited by applicant]
US 20130329226A1 · Matsubara et al. · 2013 [cited by applicant]
US 20140073000A1 · Sun et al. · 2014 [cited by applicant]
US 20140078352A1 · Iwai · 2014 [cited by applicant]
US 20140098359A1 · Gross et al. · 2014 [cited by applicant]
US 20140152801A1 · Fine et al. · 2014 [cited by applicant]
US 20140236494A1 · Kolandaivelu et al. · 2014 [cited by applicant]
US 20140293281A1 · Yamamoto et al. · 2014 [cited by applicant]
US 20140353522A1 · Wu et al. · 2014 [cited by applicant]
US 20140376816A1 · Lagae et al. · 2014 [cited by applicant]
US 20150182178A1 · Baturin et al. · 2015 [cited by applicant]
US 20150192767A1 · Li et al. · 2015 [cited by applicant]
US 20150198584A1 · Rajwa et al. · 2015 [cited by applicant]
US 20150233703A1 · Martini et al. · 2015 [cited by applicant]
US 20150268244A1 · Cho et al. · 2015 [cited by applicant]
US 20150276387A1 · Kletter et al. · 2015 [cited by applicant]
US 20150377783A1 · Kumer · 2015 [cited by applicant]
US 20160026900A1 · Ando · 2016 [cited by applicant]
US 20160033328A1 · Walters · 2016 [cited by applicant]
US 20160046958A1 · Eberwine et al. · 2016 [cited by applicant]
US 20160069919A1 · Holmes et al. · 2016 [cited by applicant]
US 20160125615A1 · Shigaki et al. · 2016 [cited by applicant]
US 20160131891A1 · Higaki · 2016 [cited by applicant]
US 20160169786A1 · Albitar et al. · 2016 [cited by applicant]
US 20160223453A1 · Jalali et al. · 2016 [cited by applicant]
US 20160231549A1 · Bosworth et al. · 2016 [cited by applicant]
US 20160258856A1 · Kim et al. · 2016 [cited by applicant]
US 20160258901A1 · Kang et al. · 2016 [cited by applicant]
US 20160327779A1 · Hillman et al. · 2016 [cited by applicant]
US 20160370266A1 · White et al. · 2016 [cited by applicant]
US 20170045437A1 · Ishimaru · 2017 [cited by applicant]
US 20170045451A1 · Nolan · 2017 [cited by examiner]
US 20170052106A1 · Hennig et al. · 2017 [cited by applicant]
US 20170058361A1 · Ogawa et al. · 2017 [cited by applicant]
US 20170082531A1 · Okada et al. · 2017 [cited by applicant]
US 20170184483A1 · Bartels et al. · 2017 [cited by applicant]
US 20170212028A1 · Correia De Matos Nolasco Lamas · 2017 [cited by examiner]
US 20170221194A1 · Ebstein · 2017 [cited by applicant]
US 20170227466A1 · Lo et al. · 2017 [cited by applicant]
US 20170322137A1 · Feher et al. · 2017 [cited by applicant]
US 20170328826A1 · Diebold et al. · 2017 [cited by applicant]
US 20170332933A1 · Krishnaswamy et al. · 2017 [cited by applicant]
US 20180127823A1 · Shekhar et al. · 2018 [cited by applicant]
US 20180208412A1 · Gilbert et al. · 2018 [cited by applicant]
US 20180246030A1 · Ota et al. · 2018 [cited by applicant]
US 20180251833A1 · Daugharthy et al. · 2018 [cited by applicant]
US 20180327699A1 · Ota et al. · 2018 [cited by applicant]
US 20190005351A1 · Zhou et al. · 2019 [cited by applicant]
US 20190339380A1 · Marks · 2019 [cited by applicant]
US 20190355440A1 · Ramjeet et al. · 2019 [cited by applicant]
US 20190383719A1 · Corbett et al. · 2019 [cited by applicant]
US 20200027020A1 · Kamesawa et al. · 2020 [cited by applicant]
US 20210080382A1 · Alfano et al. · 2021 [cited by applicant]
US 20210161385A1 · Ben-Yakar et al. · 2021 [cited by applicant]
US 20210190669A1 · Ota et al. · 2021 [cited by applicant]
US 20210310053A1 · Sugimoto · 2021 [cited by applicant]
US 20230012588A1 · Imai et al. · 2023 [cited by applicant]
US 20230090631A1 · Imai et al. · 2023 [cited by applicant]
US 20230237789A1 · Ota et al. · 2023 [cited by applicant]
US 20240133792A1 · Ota et al. · 2024 [cited by applicant]
US 20240241038A1 · Ota et al. · 2024 [cited by applicant]
US 20240303980A1 · Ota et al. · 2024 [cited by applicant]
CN 1302229A · 2001 [cited by applicant]
CN 1330151A · 2002 [cited by applicant]
CN 101320252A · 2008 [cited by applicant]
CN 101714212A · 2010 [cited by applicant]
CN 101925809A · 2010 [cited by applicant]
CN 101939633A · 2011 [cited by applicant]
CN 102272580A · 2011 [cited by applicant]
CN 102331411A · 2012 [cited by applicant]
CN 102495467A · 2012 [cited by applicant]
CN 102890049A · 2013 [cited by applicant]
CN 103582809A · 2014 [cited by applicant]
CN 103604737A · 2014 [cited by applicant]
CN 103837461A · 2014 [cited by applicant]
CN 103930768A · 2014 [cited by applicant]
CN 103942415A · 2014 [cited by applicant]
CN 104136907A · 2014 [cited by applicant]
CN 104154878A · 2014 [cited by applicant]
CN 104200114A · 2014 [cited by applicant]
CN 104736995A · 2015 [cited by applicant]
CN 104849874A · 2015 [cited by applicant]
CN 105005053A · 2015 [cited by applicant]
CN 105044897A · 2015 [cited by applicant]
CN 105181649A · 2015 [cited by applicant]
CN 105223582A · 2016 [cited by applicant]
CN 105574536A · 2016 [cited by applicant]
CN 105579828A · 2016 [cited by applicant]
CN 105651656A · 2016 [cited by applicant]
CN 105849275A · 2016 [cited by applicant]
CN 106068520A · 2016 [cited by applicant]
CN 106097437A · 2016 [cited by applicant]
CN 106267241A · 2017 [cited by applicant]
CN 106295251A · 2017 [cited by applicant]
CN 106520535A · 2017 [cited by applicant]
CN 109297888A · 2019 [cited by applicant]
EP 2602612A1 · 2013 [cited by applicant]
EP 2673618A1 · 2013 [cited by applicant]
EP 3264031A1 · 2018 [cited by applicant]
EP 3372985A1 · 2018 [cited by applicant]
EP 3499201A1 · 2019 [cited by applicant]
EP 3584564A1 · 2019 [cited by applicant]
EP 3807005A1 · 2021 [cited by applicant]
EP 4306931A2 · 2024 [cited by applicant]
JP S613032A · 1986 [cited by applicant]
JP S6279329A · 1987 [cited by applicant]
JP H01118747A · 1989 [cited by applicant]
JP H03216553A · 1991 [cited by examiner]
JP H06102152A · 1994 [cited by examiner]
JP H07270302A · 1995 [cited by applicant]
JP H07270314A · 1995 [cited by applicant]
JP H07325026A · 1995 [cited by applicant]
JP H09311102A · 1997 [cited by applicant]
JP 2002116133A · 2002 [cited by applicant]
JP 3444509B2 · 2003 [cited by applicant]
JP 2003526091A · 2003 [cited by applicant]
JP 2004150832A · 2004 [cited by applicant]
JP 2004279032A · 2004 [cited by applicant]
JP 2004286731A · 2004 [cited by applicant]
JP 2005069832A · 2005 [cited by applicant]
JP 2006520893A · 2006 [cited by applicant]
JP 2007048172A · 2007 [cited by applicant]
JP 2007281634A · 2007 [cited by applicant]
JP 2008523402A · 2008 [cited by applicant]
JP 2008539425A · 2008 [cited by applicant]
JP 2009115672A · 2009 [cited by applicant]
JP 2009180724A · 2009 [cited by applicant]
JP 2009180725A · 2009 [cited by applicant]
JP 2009210465A · 2009 [cited by applicant]
JP 2010203949A · 2010 [cited by applicant]
JP 4679507B2 · 2011 [cited by applicant]
JP 2011099848A · 2011 [cited by applicant]
JP 2011141444A · 2011 [cited by applicant]
JP 2011229409A · 2011 [cited by applicant]
JP 2011229410A · 2011 [cited by applicant]
JP 2012500385A · 2012 [cited by applicant]
JP 2013015357A · 2013 [cited by applicant]
JP 2013508775A · 2013 [cited by applicant]
JP 2013128438A · 2013 [cited by applicant]
JP 2013167582A · 2013 [cited by applicant]
JP 2013178232A · 2013 [cited by applicant]
JP 2013210287A · 2013 [cited by applicant]
JP 2014013234A · 2014 [cited by applicant]
JP 5418386B2 · 2014 [cited by applicant]
JP 5464244B2 · 2014 [cited by applicant]
JP 5534214B2 · 2014 [cited by applicant]
JP 5574407B2 · 2014 [cited by applicant]
JP 2014175819A · 2014 [cited by applicant]
JP 2014190748A · 2014 [cited by applicant]
JP 2014215852A · 2014 [cited by applicant]
JP 2015036799A · 2015 [cited by applicant]
JP 2015052663A · 2015 [cited by applicant]
JP 2015512029A · 2015 [cited by applicant]
JP 2015152594A · 2015 [cited by applicant]
JP 2016057172A · 2016 [cited by applicant]
JP 2016510418A · 2016 [cited by applicant]
JP 2016073210A · 2016 [cited by applicant]
JP 2016090292A · 2016 [cited by applicant]
JP 2016099685A · 2016 [cited by applicant]
JP 2016517526A · 2016 [cited by applicant]
JP 2016192007A · 2016 [cited by applicant]
JP 2017058361A · 2017 [cited by applicant]
JP 2018511060A · 2018 [cited by applicant]
JP 2018132501A · 2018 [cited by applicant]
JP WO2018181458A1 · 2020 [cited by applicant]
WO WO03048345A1 · 2003 [cited by applicant]
WO WO2006080314A1 · 2006 [cited by applicant]
WO WO2006103920A1 · 2006 [cited by applicant]
WO WO2006115663A2 · 2006 [cited by applicant]
WO WO2006127967A2 · 2006 [cited by applicant]
WO WO2007067999A2 · 2007 [cited by applicant]
WO WO2010017001A2 · 2010 [cited by applicant]
WO WO2010032452A1 · 2010 [cited by applicant]
WO WO2011028109A1 · 2011 [cited by applicant]
WO WO2011049965A1 · 2011 [cited by applicant]
WO WO2012068287A2 · 2012 [cited by applicant]
WO WO2012086195A1 · 2012 [cited by applicant]
WO WO2012144886A1 · 2012 [cited by applicant]
WO WO2012147804A1 · 2012 [cited by applicant]
WO WO2013066896A1 · 2013 [cited by applicant]
WO WO2013101675A2 · 2013 [cited by applicant]
WO WO2014127379A1 · 2014 [cited by applicant]
WO WO2014144585A1 · 2014 [cited by applicant]
WO WO2014146062A2 · 2014 [cited by applicant]
WO WO2015067734A1 · 2015 [cited by applicant]
WO WO2015068834A1 · 2015 [cited by applicant]
WO WO2015148560A1 · 2015 [cited by applicant]
WO WO2016038796A1 · 2016 [cited by applicant]
WO WO2016073985A1 · 2016 [cited by applicant]
WO WO2016085571A2 · 2016 [cited by applicant]
WO WO2016130489A1 · 2016 [cited by applicant]
WO WO2016136801A1 · 2016 [cited by applicant]
WO WO2017046988A1 · 2017 [cited by applicant]
WO WO2017073737A1 · 2017 [cited by applicant]
WO WO2017164936A1 · 2017 [cited by applicant]
WO WO2018034241A1 · 2018 [cited by applicant]
WO WO2018126205A1 · 2018 [cited by applicant]
WO WO2018151206A1 · 2018 [cited by applicant]
WO WO2018199080A1 · 2018 [cited by applicant]
WO WO2019241443A1 · 2019 [cited by applicant]
WO WO2020081819A1 · 2020 [cited by applicant]
WO WO2021132484A1 · 2021 [cited by applicant]
WO WO2021200911A1 · 2021 [cited by applicant]
WO WO2021200960A1 · 2021 [cited by applicant]
Ota, S. et al., Ghost Cytometry, Science. Jun. 15, 2018; 360 (6394): 1246-1251. [cited by applicant]
PCT/JP2020/048503 International Search Report dated Mar. 9, 2021. [cited by applicant]
EP20907648.8 Partial Supplementary European Search Report dated Dec. 14, 2023. [cited by applicant]
Abolbashari, Mehrdad, et al. High dynamic range compressive imaging: a programmable imaging system. Optical Engineering, vol. 51, No. 7, 071407-1-071407-8 (2012). [cited by applicant]
Adachi, Hioraki, et al. Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics. ARXIV.Org., 1-11, (2019). [cited by applicant]
Adjouadi, Malek. et al. Multidimensional Pattern Recognition and Classification of White Blood Cells Using Support Vector Machines. Particle & Particle Systems Characterization 22(2):107-118 (2005). [cited by applicant]
Baroud, Charles N., et al. Dynamics of microfluidic droplets. Lab on a Chip, vol. 10, 2032-2045 (2010). [cited by applicant]
Bruggner, Robert V. et al. Automated Identification of Stratifying Signatures in Cellular Subpopulations. Proceedings of the National Academy of Sciences 111(26):E2770-E2777 (2014). [cited by applicant]
Choi, Kerkil, et al. Compressive holography of diffuse objects. Applied Optics, vol. 49, No. 34, 1-10 (2010). [cited by applicant]
CN201680011390.X Office Action dated Apr. 9, 2020, and an English translation. [cited by applicant]
CN201680011390.X Office Action dated Nov. 29, 2019, and an English translation. [cited by applicant]
CN201680011390.X Office Action with Search Report dated Mar. 1, 2019, and a partial English translation. [cited by applicant]
CN201680062987.7 Office Action dated Dec. 30, 2019. [cited by applicant]
CN201680062987.7 Office Action with Search Report dated Dec. 30, 2019, and a Partial English translation. [cited by applicant]
CN201680062987.7 Office Action with Search Report dated Mar. 11, 2021, and a Partial English translation. [cited by applicant]
CN201680062987.7 Office Action with Search Report dated Sep. 10, 2020, and a Partial English translation. [cited by applicant]
CN201780062816.9 Office Action dated Jul. 17, 2020. [cited by applicant]
CN201880012120.X Office Action dated Dec. 23, 2021. [cited by applicant]
CN201880021362.5 Chinese Office Action with Search Report dated Mar. 31, 2023. [cited by applicant]
CN201980053558.7 Office Action dated Aug. 23, 2022, and an English translation. [cited by applicant]
CN201980053558.7 Office Action with Search report dated Dec. 2, 2021, and a partial English translation. [cited by applicant]
CN202111319130.8 Search Report dated Dec. 27, 2023. [cited by applicant]
Duarte, Marco, et al. Single-Pixel Imaging via Compressive Sampling. I EEE Signal Processing Magazine, vol. 25, 83-91 (2008). [cited by applicant]
EP16755545.7 Office Action dated Jun. 24, 2020. [cited by applicant]
EP16859965.2 European Search Report dated Aug. 16, 2019. [cited by applicant]
EP16859965.2 Office Action dated Jul. 18, 2022. [cited by applicant]
EP17841464.5 Extended European Search Report dated Jan. 28, 2020. [cited by applicant]
EP18753550.5 Extended European Search Report dated Feb. 19, 2020. [cited by applicant]
EP18775495.7 Extended Search Report dated Dec. 18, 2020. [cited by applicant]
EP19819019.1 Extended European Search Report dated Feb. 8, 2022. [cited by applicant]
EP19873817.1 Extended European Search Report dated Jul. 15, 2022. [cited by applicant]
EP20160755545.7 Extended European Search Report dated Aug. 24, 2018. [cited by applicant]
EP20160859965.2 Partial European Search Report dated May 6, 2019. [cited by applicant]
EP21779172.2 European Supplementary Search Report dated Mar. 14, 2024. [cited by applicant]
EP23195563.4 Extended European Search Report dated Jan. 9, 2024. [cited by applicant]
Han, Yuanyuan, et al. Imaging Cells in Flow Cytometer Using Spatial-Temporal Transformation. Scientific Reports 5:13267, 1-10 (2015). [cited by applicant]
Hassan, S. Sakira, et. al. Flow Cytometry-Based Classification in Cancer Research: a View on Feature Selection, Cancer Informatics, vol. 14, 75-85 (2015). [cited by applicant]
Hennig, Holger, et. al. An open-source solution for advanced imaging flow cytometry data analysis using machine learning. Methods, vol. 112, 201-210 (2017). [cited by applicant]
Horisaki, Ryoichi, et al. Single-pixel compressive diffractive imaging. Applied Optics, vol. 56, No. 5, 1353-1357 (2017). [cited by applicant]
Horisaki, Ryoichi, et al. Single-pixel compressive diffractive imaging with structured illumination. Applied Optics, vol. 56 No. 14, 4085-4089 (2017). [cited by applicant]
Horisaki, Ryoichi, et al. Single-shot phase imaging with a coded aperture. Optics Letters, vol. 39, No. 22, 1-4 (2014). [cited by applicant]
Joung, Julia, et al. Genome-scale CRISPR-Cas9 Knockout and Transcriptional Activation Screening. Nature Protocols, vol. 12, 828-863 (2017). [cited by applicant]
JP2017_502419 Office Action dated Aug. 21, 2018, and an English translation. [cited by applicant]
JP2017_502419 Office Action dated May 7, 2019, and an English translation. [cited by applicant]
JP2017_547891 Office Action dated Apr. 27, 2021, and an English translation. [cited by applicant]
JP2017_547891 Office Action dated Aug. 31, 2021, and an English translation. [cited by applicant]
JP2017_547891 Office Action dated Oct. 6, 2020, and an English translation. [cited by applicant]
JP2019-514527 Decision of Dismissal of Amendment dated Jul. 12, 2022. [cited by applicant]
JP2020-170808 Office Action dated Sep. 21, 2021. [cited by applicant]
JP2021-159163 Office Action dated Oct. 4, 2022. [cited by applicant]
JP2021_518859 Office Action dated Jun. 5, 2023, and an English translation. [cited by applicant]
JP2021_518859 Office Action dated Sep. 4, 2023, and an English translation. [cited by applicant]
JP2021_521403 Office Action dated May 7, 2024, and an English translation. [cited by applicant]
JP2021_521403 Office Action dated Sep. 4, 2023, and an English translation. [cited by applicant]
JP2021_567626 Office Action dated May 7, 2024, and an English translation. [cited by applicant]
JP2022-170844 Office Action dated Aug. 22, 2023. [cited by applicant]
JP2023_172195 Office Action dated Jun. 10, 2024, and an English translation. [cited by applicant]
Katkovnik, Vladimir, et al. Compressive sensing computational ghost imaging, 1-62 (2012). Retrieved from: https://pdfs.semanticscholar.org/4568/1fbc1143924f13c1800b8c1008be6c1241d8.pdf. [cited by applicant]
Katkovnik, Vladimir, et al. Compressive sensing computational ghost imaging. Journal of the Optical Society of America, vol. 29, No. 8, 1556-1567 (2012). [cited by applicant]
Katkovnik, Vladimir, et al. Phase retrieval via spatial light modulator phase modulation in 4f optical setup: numerical inverse imaging with sparse regularization for phase and amplitude. Journal of the Optical Society … [cited by applicant]
Katz, Ori, et al. Compressive ghost imaging. Applied Physics Letters, vol. 95, 2-5 (2009). [cited by applicant]
Krstenansky, John L., et al. Short model peptides having a high alpha-helical tendency: design and solution properties. Federation of European Biochemical Societies, vol. 242, No. 2, 409-413 (1989). [cited by applicant]
Lee, Byounghyo, et al. Single-shot Phase Retrieval via Fourier ptychographic microscopy. Optical Society of America, vol. 5, No. 8, 976-983 (2018). [cited by applicant]
Lee, Gyemin, et al. Transfer Learning for Auto-gating of Flow Cytometry Data, JMLR: Workshop and Conference Proceedings, Workshop on Unsupervised and Transfer Learning, vol. 27, 155-165 (2012). [cited by applicant]
Li, Enrong. et al. Ghost Imaging of a Moving Target With an Unknown Constant Speed. Applied Physics Letters 104:251120-1-251120-3 (2014). [cited by applicant]
Li, Xiaohui, et al. Ghost imaging for an axially moving target with an unknown constant speed. Photonics Research, vol. 3, No. 4, 153-157 (2015). [cited by applicant]
Liu, Ziji, et al. Real-time brightfield, darkfield, and phase contrast imaging in a light-emitting diode array microscope. Journal of Biomedical Optics, vol. 19, No. 10, 106002-1-106002-5 (2014). [cited by applicant]
Liutkus, Antoine, et al. Imaging With Nature: a Universal Analog Compressive Imager Using a Multiply Scattering Medium. Retrieved from: http://arxiv.org/vc/arxiv/papers/1309/1309.0425v1.pdf , arXiv.org, 1-15 (2013). [cited by applicant]
Liutkus, Antoine, et al. Imaging With Nature: Compressive Imaging Using a Multiply Scattering Medium. Scientific Reports, vol. 4, 1-13 (2014). [cited by applicant]
Mair, Florian. et al. The End of Gating? An Introduction to Automated Analysis of High Dimensional Cytometry Data. European Journal of Immunology 46(1):34-43 (2016). Published Online Nov. 30, 2015. [cited by applicant]
Meehan, Stephen. et al. AutoGate: Automating Analysis of Flow Cytometry Data. Immunologic Research 58(2-3):218-223 (2014). [cited by applicant]
Ni, Wanmao, et. al. Discrimination of malignant neutrophils of chronic myelogenous leukemia from normal neutrophils by support vector machine. Computers in Biology and Medicine, vol. 43, 1192-1195 (2013). [cited by applicant]
Nitta, Nao, et al. Intelligent Image-Activated Cell Sorting. Cell, vol. 175, 266-276 (2018). [cited by applicant]
PCT/JP2016/055412 International Search Report and Written Opinion dated May 17, 2016. [cited by applicant]
PCT/JP2016/082089 International Search Report and Written Opinion dated Jan. 24, 2017. [cited by applicant]
PCT/JP2017/029156 International Search Report dated Oct. 31, 2017. [cited by applicant]
PCT/JP2018/005237 International Search Report dated May 1, 2018. [cited by applicant]
PCT/JP2018/012708 International Search Report and Witten opinion dated Jul. 3, 2018. [cited by applicant]
PCT/JP2018/016584 International Search Report dated Jul. 17, 2018. [cited by applicant]
PCT/JP2020/048503 International Preliminary Report on Patentability dated Jul. 7, 2022. [cited by applicant]
PCT/JP2021/013478 International Preliminary Report on Patentability dated Oct. 13, 2022. [cited by applicant]
PCT/JP2021/013478 International Search Report dated Jun. 22, 2021. [cited by applicant]
PCT/JP2021/013564 International Search Report and Written Opinion dated Jun. 22, 2021. [cited by applicant]
PCT/US2019/036849 International Search Report and Written Opinion dated Sep. 19, 2019. [cited by applicant]
PCT/US2019/056743 International Search Report and Written Opinion dated Feb. 7, 2020. [cited by applicant]
Pian, Qi, et al. Time-resolved Hyperspectral Single-pixel Camera Implementation for Compressive Wide-Field Fluorescence Lifetime Imaging. Proceedings of the International Society for Optical Engineering, vol. 9701, 9701… [cited by applicant]
Rajwa, Bartek et al. Automated Classification of Bacterial Particles in Flow by Multiangle Scatter Measurement and Support Vector Machine Classifier. Cytometry Part A, vol. 73A, Issue 4, 369-379 (2008). [cited by applicant]
Rota, Paolo, et. al. The Role of Machine Learning in Medical Data Analysis. A Case Study: Flow Cytometry. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Application… [cited by applicant]
SH800S Cell Sorter. Automation from Set-up to Analysis, 1-3 (2016). Retrieved from https://www.sonyWO2021200960A1biotechnology.com/us/instruments/sh800s-cell-sorter/system/ . [cited by applicant]
Shalem, Ophir, et al. Genome-Scale CRISPR-Cas9 Knockout Screening in Human Cells. Science, vol. 343, 84-87 (2014). [cited by applicant]
Shibuya, Kyuki, et al. Monomolecular fluorescence imaging method based on ghost imaging by using circulatory pattern (second report). Proceedings of Japan Science and Technology Agency, Semestrial Meeting, 863-864 (2014… [cited by applicant]
Sosik, Heidi M., et. al. Automated taxonomic classification of phytoplankton sampled with imaging-in-flow cytometry. Limnology and Oceanography: Methods, vol. 5, 204-216 (2007). [cited by applicant]
Tsujioka, Katsumi, et al. Three-dimensional shape measurement system using optical spatial modulator and zoom camera. Fifth International Symposium on Instrumentation and Control Technology, vol. 5253, 504-507 (2003). [cited by applicant]
Ugawa, Masashi, et al. High-throughput optofluidic particle profiling with morphological and chemical specificity. Optics Letters, vol. 40, No. 20, 4803-4806 (2015). [cited by applicant]
U.S. Appl. No. 15/552,438 Notice of Allowance dated Jul. 17, 2020. [cited by applicant]
U.S. Appl. No. 15/552,438 Notice of Allowance dated Jun. 16, 2020. [cited by applicant]
U.S. Appl. No. 15/552,438 Office Action dated Apr. 12, 2019. [cited by applicant]
U.S. Appl. No. 15/552,438 Office Action dated Aug. 9, 2018. [cited by applicant]
U.S. Appl. No. 15/552,438 Office Action dated Nov. 12, 2019. [cited by applicant]
U.S. Appl. No. 15/771,180 Corrected Notice of Allowability dated Jul. 21, 2021. [cited by applicant]
U.S. Appl. No. 15/771,180 Notice of Allowance dated May 17, 2021. [cited by applicant]
U.S. Appl. No. 15/771,180 Office Action dated Apr. 23, 2019. [cited by applicant]
U.S. Appl. No. 15/771,180 Office Action dated Jul. 30, 2020. [cited by applicant]
U.S. Appl. No. 15/771,180 Office Action dated Jun. 8, 2020. [cited by applicant]
U.S. Appl. No. 15/771,180 Office Action dated Nov. 13, 2019. [cited by applicant]
U.S. Appl. No. 16/272,569 Notice of Allowance dated Aug. 12, 2020. [cited by applicant]
U.S. Appl. No. 16/272,569 Office Action dated Apr. 16, 2020. [cited by applicant]
U.S. Appl. No. 16/542,257 Notice of Allowance dated Aug. 30, 2022. [cited by applicant]
U.S. Appl. No. 16/542,257 Notice of Allowance dated Nov. 17, 2022. [cited by applicant]
U.S. Appl. No. 16/542,257 Office Action dated Nov. 16, 2021. [cited by applicant]
U.S. Appl. No. 16/562,262 Notice of Allowance dated Jan. 19, 2023. [cited by applicant]
U.S. Appl. No. 16/562,262 Office Action dated Jun. 14, 2022. [cited by applicant]
U.S. Appl. No. 16/584,535 Office Action dated Aug. 21, 2024. [cited by applicant]
U.S. Appl. No. 16/584,535 Office Action dated Dec. 4, 2023. [cited by applicant]
U.S. Appl. No. 16/584,535 Office Action dated Feb. 18, 2022. [cited by applicant]
U.S. Appl. No. 16/584,535 Office Action dated Jun. 14, 2023. [cited by applicant]
U.S. Appl. No. 16/584,535 Office Action dated Sep. 12, 2022. [cited by applicant]
U.S. Appl. No. 16/663,182 Notice of Allowance dated Dec. 15, 2022. [cited by applicant]
U.S. Appl. No. 16/663,182 Notice of Allowance dated Jan. 11, 2023. [cited by applicant]
U.S. Appl. No. 16/663,182 Office Action dated Apr. 27, 2022. [cited by applicant]
U.S. Appl. No. 16/936,138 Notice of Allowance dated Apr. 14, 2021. [cited by applicant]
U.S. Appl. No. 16/936,138 Notice of Allowance dated Jun. 8, 2021. [cited by applicant]
U.S. Appl. No. 16/936,138 Office Action dated Oct. 22, 2020. [cited by applicant]
U.S. Appl. No. 17/089,028 Notice of Allowance dated Apr. 19, 2022. [cited by applicant]
U.S. Appl. No. 17/089,028 Office Action dated Nov. 24, 2021. [cited by applicant]
U.S. Appl. No. 17/115,657 Notice of Allowance dated Aug. 4, 2023. [cited by applicant]
U.S. Appl. No. 17/115,657 Notice of Allowance dated Jun. 14, 2023. [cited by applicant]