EP3230887A4 - Automated flow cytometry analysis method and system - Google Patents

Automated flow cytometry analysis method and system Download PDF

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Publication number
EP3230887A4
EP3230887A4 EP15868163.5A EP15868163A EP3230887A4 EP 3230887 A4 EP3230887 A4 EP 3230887A4 EP 15868163 A EP15868163 A EP 15868163A EP 3230887 A4 EP3230887 A4 EP 3230887A4
Authority
EP
European Patent Office
Prior art keywords
flow cytometry
analysis method
cytometry analysis
automated flow
automated
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
EP15868163.5A
Other languages
German (de)
French (fr)
Other versions
EP3230887A1 (en
Inventor
Maher Albitar
Hong Zhang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
NeoGenomics Laboratories Inc
Original Assignee
NeoGenomics Laboratories Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by NeoGenomics Laboratories Inc filed Critical NeoGenomics Laboratories Inc
Priority claimed from PCT/US2015/065095 external-priority patent/WO2016094720A1/en
Publication of EP3230887A1 publication Critical patent/EP3230887A1/en
Publication of EP3230887A4 publication Critical patent/EP3230887A4/en
Withdrawn legal-status Critical Current

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Optical investigation techniques, e.g. flow cytometry
    • G01N15/1429Signal processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/24323Tree-organised classifiers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/245Classification techniques relating to the decision surface
    • G06F18/2453Classification techniques relating to the decision surface non-linear, e.g. polynomial classifier
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B35/00ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/60In silico combinatorial chemistry
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N15/14Optical investigation techniques, e.g. flow cytometry
    • G01N15/1456Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals
    • G01N15/1459Optical investigation techniques, e.g. flow cytometry without spatial resolution of the texture or inner structure of the particle, e.g. processing of pulse signals the analysis being performed on a sample stream
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N15/00Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
    • G01N15/10Investigating individual particles
    • G01N2015/1006Investigating individual particles for cytology

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Biochemistry (AREA)
  • Analytical Chemistry (AREA)
  • Biomedical Technology (AREA)
  • Immunology (AREA)
  • Dispersion Chemistry (AREA)
  • Signal Processing (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Pathology (AREA)
  • Nonlinear Science (AREA)
  • Mathematical Physics (AREA)
  • Medicinal Chemistry (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Biophysics (AREA)
  • Library & Information Science (AREA)
  • Biotechnology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
EP15868163.5A 2014-12-10 2015-12-10 Automated flow cytometry analysis method and system Withdrawn EP3230887A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201462090316P 2014-12-10 2014-12-10
PCT/US2015/065095 WO2016094720A1 (en) 2014-12-10 2015-12-10 Automated flow cytometry analysis method and system

Publications (2)

Publication Number Publication Date
EP3230887A1 EP3230887A1 (en) 2017-10-18
EP3230887A4 true EP3230887A4 (en) 2018-08-01

Family

ID=59810972

Family Applications (1)

Application Number Title Priority Date Filing Date
EP15868163.5A Withdrawn EP3230887A4 (en) 2014-12-10 2015-12-10 Automated flow cytometry analysis method and system

Country Status (2)

Country Link
EP (1) EP3230887A4 (en)
CN (1) CN107430587A (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA3115459A1 (en) * 2018-11-07 2020-05-14 Foss Analytical A/S Milk analyser for classifying milk
CN109655616B (en) * 2018-12-19 2022-05-06 广州金域医学检验中心有限公司 Combined reagent and system for detecting acute myeloid leukemia cells
CN114323162B (en) * 2022-03-14 2022-06-28 青岛清万水技术有限公司 Method and device for on-line monitoring of shell vegetable growth data and electronic equipment

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090204557A1 (en) * 2008-02-08 2009-08-13 Health Discovery Corporation Method and System for Analysis of Flow Cytometry Data Using Support Vector Machines

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2476053A4 (en) * 2009-09-08 2014-03-12 Nodality Inc Analysis of cell networks
AU2012267884A1 (en) * 2011-06-07 2014-01-23 Caris Life Sciences Switzerland Holdings Gmbh Circulating biomarkers for cancer

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090204557A1 (en) * 2008-02-08 2009-08-13 Health Discovery Corporation Method and System for Analysis of Flow Cytometry Data Using Support Vector Machines

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
KAREL FISER ET AL: "Detection and monitoring of normal and leukemic cell populations with hierarchical clustering of flow cytometry data", CYTOMETRY. PART A, vol. 81A, no. 1, 1 January 2012 (2012-01-01), US, pages 25 - 34, XP055481712, ISSN: 1552-4922, DOI: 10.1002/cyto.a.21148 *
See also references of WO2016094720A1 *

Also Published As

Publication number Publication date
EP3230887A1 (en) 2017-10-18
CN107430587A (en) 2017-12-01

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