DK1771729T3 - Forbedring af flowcytometridiskrimination ved hjælp af geometrisk transformation - Google Patents
Forbedring af flowcytometridiskrimination ved hjælp af geometrisk transformation Download PDFInfo
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- DK1771729T3 DK1771729T3 DK05775671.0T DK05775671T DK1771729T3 DK 1771729 T3 DK1771729 T3 DK 1771729T3 DK 05775671 T DK05775671 T DK 05775671T DK 1771729 T3 DK1771729 T3 DK 1771729T3
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- parameter data
- dimensional parameter
- populations
- flow cytometry
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1429—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its signal processing
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- G01N15/1433—
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1434—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its optical arrangement
- G01N15/1436—Electro-optical investigation, e.g. flow cytometers using an analyser being characterised by its optical arrangement the optical arrangement forming an integrated apparatus with the sample container, e.g. a flow cell
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Electro-optical investigation, e.g. flow cytometers
- G01N15/1468—Electro-optical investigation, e.g. flow cytometers with spatial resolution of the texture or inner structure of the particle
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
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- G01N15/01—
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- G01N15/149—
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume, or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N2015/1006—Investigating individual particles for cytology
Claims (12)
1. Fremgangsmåde til flowcytometri, hvilken fremgangsmåde omfatter følgende trin: ; etablering af en væskestrøm (1); medtagelse af partikler i væskestrømmen; påvisning af et første signal (45), der er knyttet til individuelle partikler i væskestrømmen; påvisning af mindst ét yderligere signal (45), der er knyttet til de i individuelle partikler; omdannelse af det første signal og det mindst ene yderligere signal, der er knyttet til de individuelle partikler, til n-dimensionale parameterdata, hvor n er lig med antallet af signaler, hvor mindst to populationer (8) af de individuelle partikler overlapper i en af n-dimensionerne; i matematisk transformation af de n-dimensionale parameterdata ved mindst en rotation (48) af de n-dimensionale parameterdata for at frembringe en bedre rumlig adskillelse i den dimension, der overlappes; realtid-klassificering (49) af de n-dimensionale parameterdata for hver af de individuelle partikler i en af de mindst to populationer (8) under i anvendelse af de roterede n-dimensionale parameterdata; og sortering af de individuelle partikler på baggrund af realtid-klassificeringen.
2. Fremgangsmåde til flowcytometri ifølge krav 1, hvilken fremgangsmåde endvidere omfatter følgende trin: i matematisk transformation af de n-dimensionale parameterdata ved mindste skalering (48) af de n-dimensionale parameterdata; og realtid-klassificering af de n-dimensionale parameterdata for hver af de individuelle partikler i en af de mindst to populationer (8) på baggrund af mindst de skalerede transformerede parameterdata. i 3. Fremgangsmåde til flowcytometri ifølge krav 2, hvilken fremgangsmåde endvidere omfatter trinet til samtidig behandling af de n-dimensionale parameterdata for at transformere dataene ved både skalering og rotation.
4. Fremgangsmåde til flowcytometri ifølge krav 1 eller 2, hvilken fremgangsmåde I endvidere omfatter følgende trin: matematisk transformation af de n-dimensionale parameterdata ved mindst en translation (48) af de n-dimensionale parameterdata; og realtid-klassificering af de n-dimensionale parameterdata for hver af de individuelle partikler i en af de mindst to populationer (8) på baggrund af mindst de translaterede n-dimensionale parameterdata.
5. Fremgangsmåde til flowcytometri ifølge krav 4, når det afhænger af krav 2, hvilken fremgangsmåde endvidere omfatter trinet til samtidig behandling af de n-dimensionale parameterdata for på matematisk vis at opnå numeriske resultater af både den roterende transformation, den skalerende transformation og den translaterende transformation.
6. Fremgangsmåde til flowcytometri ifølge krav 1, hvilken fremgangsmåde endvidere omfatter en visuel skelnen mellem de mindst to populationer (8) af de n-dimensionale parameterdata.
7. Fremgangsmåde til flowcytometri ifølge krav 6, hvor trinet til visuel skelnen mellem de mindst to populationer (8) af de n-dimensionale parameterdata omfatter en grafisk placering af de n-dimensionale parameterdata for hver af de individuelle partikler i forhold til de mindst to populationer.
8. Fremgangsmåde til flowcytometri ifølge krav 6, hvor trinet til visuel skelnen mellem de mindst to populationer af de n-dimensionale parameterdata omfatter en afbildning af de n-dimensionale parameterdata i et kartesisk koordinatsystem.
9. Fremgangsmåde til flowcytometri ifølge krav 8, hvor trinet til afbildning af de n-dimensionale parameterdata i et kartesisk koordinatsystem omfatter trinet til afbildning af det første signal (45) på den ene akse (14) og afbildning af det mindst ene yderligere signal (45) på mindst én yderligere akse (15).
10. Fremgangsmåde til flowcytometri ifølge krav 6, hvor trinet til visuel skelnen mellem de mindst to populationer af de n-dimensionale parameterdata omfatter følgende trin: grafisk tilvejebringelse af elliptisk formede populationer (18) af hver af de mindst to populationer (8), som har ikke-ortogonale hældningsvinkler i forhold til mindst én akse; og orientering af de elliptisk formede populationer ortogonalt på mindst én akse.
11. Fremgangsmåde til flowcytometri ifølge krav 1, hvor partiklerne omfatter sæd; og hvor de mindst to populationer (8) omfatter en X-bærende sædpopulation og en Y-bærende sædpopulation.
12. Fremgangsmåde til flowcytometri ifølge krav 1, hvor det første signal (45) og det mindst ene yderligere signal (45) omfatter fluorescens, der udsendes af et lysemitterende element, som er koblet til de individuelle partikler, efter passage gennem en laserstråle (34).
13. Flowcytometriapparat, der er konfigureret til at udføre fremgangsmåden ifølge et hvilket som helst af de foregående krav.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US59195704P | 2004-07-27 | 2004-07-27 | |
PCT/US2005/026673 WO2006015056A2 (en) | 2004-07-27 | 2005-07-27 | Enhancing flow cytometry discrimination with geometric transformation |
Publications (1)
Publication Number | Publication Date |
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DK1771729T3 true DK1771729T3 (da) | 2015-11-23 |
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Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
DK15153894.9T DK2884258T3 (da) | 2004-07-27 | 2005-07-27 | Forbedring af flowcytometrisk diskrimination med computerimplementeret geometrisk transformation |
DK05775671.0T DK1771729T3 (da) | 2004-07-27 | 2005-07-27 | Forbedring af flowcytometridiskrimination ved hjælp af geometrisk transformation |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
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DK15153894.9T DK2884258T3 (da) | 2004-07-27 | 2005-07-27 | Forbedring af flowcytometrisk diskrimination med computerimplementeret geometrisk transformation |
Country Status (8)
Country | Link |
---|---|
US (7) | USRE46559E1 (da) |
EP (2) | EP2884258B1 (da) |
DK (2) | DK2884258T3 (da) |
ES (2) | ES2607527T3 (da) |
HK (1) | HK1211696A1 (da) |
PL (2) | PL2884258T3 (da) |
PT (2) | PT2884258T (da) |
WO (1) | WO2006015056A2 (da) |
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- 2005-07-27 WO PCT/US2005/026673 patent/WO2006015056A2/en active Application Filing
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ES2607527T3 (es) | 2017-03-31 |
DK2884258T3 (da) | 2017-01-02 |
US20180180526A1 (en) | 2018-06-28 |
US9835541B2 (en) | 2017-12-05 |
EP1771729B1 (en) | 2015-09-09 |
ES2555126T3 (es) | 2015-12-29 |
PT1771729E (pt) | 2015-12-31 |
US20160033387A1 (en) | 2016-02-04 |
WO2006015056A2 (en) | 2006-02-09 |
EP2884258B1 (en) | 2016-10-12 |
US20200158622A1 (en) | 2020-05-21 |
USRE46559E1 (en) | 2017-09-26 |
PT2884258T (pt) | 2016-12-13 |
US20230168177A1 (en) | 2023-06-01 |
EP1771729A2 (en) | 2007-04-11 |
US20170184482A1 (en) | 2017-06-29 |
EP2884258A1 (en) | 2015-06-17 |
US10495562B2 (en) | 2019-12-03 |
US11927523B2 (en) | 2024-03-12 |
PL2884258T3 (pl) | 2017-04-28 |
WO2006015056A3 (en) | 2006-11-09 |
US11408813B2 (en) | 2022-08-09 |
EP1771729A4 (en) | 2011-09-28 |
US20090287421A1 (en) | 2009-11-19 |
US9625367B2 (en) | 2017-04-18 |
PL1771729T3 (pl) | 2016-02-29 |
US9134220B2 (en) | 2015-09-15 |
HK1211696A1 (en) | 2016-05-27 |
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