ES2159578T3 - Motor algoritmico para el analisis automatico de sub-conjuntos n-dimensionales. - Google Patents

Motor algoritmico para el analisis automatico de sub-conjuntos n-dimensionales.

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Publication number
ES2159578T3
ES2159578T3 ES95104348T ES95104348T ES2159578T3 ES 2159578 T3 ES2159578 T3 ES 2159578T3 ES 95104348 T ES95104348 T ES 95104348T ES 95104348 T ES95104348 T ES 95104348T ES 2159578 T3 ES2159578 T3 ES 2159578T3
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ES
Spain
Prior art keywords
analysis
algorithmic
automatic analysis
hierarchic
populations
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.)
Expired - Lifetime
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ES95104348T
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English (en)
Inventor
Daniel E Thiel
Pierre Bierre
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Becton Dickinson and Co
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Becton Dickinson and Co
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Publication of ES2159578T3 publication Critical patent/ES2159578T3/es
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    • 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
    • G01N33/5094—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for blood cell populations
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/231—Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G06F18/232—Non-hierarchical techniques
    • G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/69—Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698—Matching; Classification
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S436/00—Chemistry: analytical and immunological testing
    • Y10S436/80—Fluorescent dyes, e.g. rhodamine
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S436/00—Chemistry: analytical and immunological testing
    • Y10S436/805—Optical property

Landscapes

  • Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Immunology (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Physics (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Hematology (AREA)
  • Chemical & Material Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Cell Biology (AREA)
  • Urology & Nephrology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Operations Research (AREA)
  • Software Systems (AREA)
  • Tropical Medicine & Parasitology (AREA)
  • Microbiology (AREA)
  • Ecology (AREA)
  • Biotechnology (AREA)
  • Pathology (AREA)
  • Biochemistry (AREA)
  • Medicinal Chemistry (AREA)
  • Analytical Chemistry (AREA)
  • Algebra (AREA)
  • Food Science & Technology (AREA)

Abstract

LA PRESENTE INVENCION PROPORCIONA UN METODO DE ANALISIS DE INFORMACION MULTIPARAMETRICA POR UN MOTOR ALGORITMICO ATRACTOR JERARQUICO. EL METODO EMPLEA EL ANALISIS DE LA INFORMACION POR CONSTRUCCION DE UNA POBLACION JERARQUICA, EN LA QUE LAS POBLACIONES NO SON MUTUAMENTE EXCLUSIVAS, PROPORCIONANDO UNA IMPORTANTE HERRAMIENTA ANALITICA. EL USO DEL MOTOR ALGORITMICO ATRACTOR JERARQUICO PROPORCIONA AL USUARIO MAYOR FLEXIBILIDAD Y AMPLITUD DE ANALISIS, YA QUE POBLACIONES SOLAPADAS PUEDEN SER SEPARADAMENTE EXAMINADAS.
ES95104348T 1994-04-13 1995-03-24 Motor algoritmico para el analisis automatico de sub-conjuntos n-dimensionales. Expired - Lifetime ES2159578T3 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US08/227,155 US5739000A (en) 1991-08-28 1994-04-13 Algorithmic engine for automated N-dimensional subset analysis

Publications (1)

Publication Number Publication Date
ES2159578T3 true ES2159578T3 (es) 2001-10-16

Family

ID=22851982

Family Applications (1)

Application Number Title Priority Date Filing Date
ES95104348T Expired - Lifetime ES2159578T3 (es) 1994-04-13 1995-03-24 Motor algoritmico para el analisis automatico de sub-conjuntos n-dimensionales.

Country Status (5)

Country Link
US (1) US5739000A (es)
EP (1) EP0677819B1 (es)
CA (1) CA2146711A1 (es)
DE (1) DE69522360T2 (es)
ES (1) ES2159578T3 (es)

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US6937330B2 (en) 1999-04-23 2005-08-30 Ppd Biomarker Discovery Sciences, Llc Disposable optical cuvette cartridge with low fluorescence material
AU4710800A (en) * 1999-05-12 2000-11-21 Axys Pharmaceuticals, Inc. Methods of software driven flow sorting for reiterative synthesis cycles
US6687395B1 (en) * 1999-07-21 2004-02-03 Surromed, Inc. System for microvolume laser scanning cytometry
US20060015265A1 (en) * 1999-11-18 2006-01-19 Raich Anne C Method of rapidly identifying X-ray powder diffraction patterns
US6787761B2 (en) * 2000-11-27 2004-09-07 Surromed, Inc. Median filter for liquid chromatography-mass spectrometry data
AU2002217904A1 (en) * 2000-11-28 2002-06-11 Surromed, Inc. Methods for efficiently minig broad data sets for biological markers
US6873915B2 (en) * 2001-08-24 2005-03-29 Surromed, Inc. Peak selection in multidimensional data
US20030078739A1 (en) * 2001-10-05 2003-04-24 Surromed, Inc. Feature list extraction from data sets such as spectra
US6989100B2 (en) * 2002-05-09 2006-01-24 Ppd Biomarker Discovery Sciences, Llc Methods for time-alignment of liquid chromatography-mass spectrometry data
WO2005010492A2 (en) * 2003-07-17 2005-02-03 Yale University Classification of disease states using mass spectrometry data
KR20060123539A (ko) * 2004-01-14 2006-12-01 루미넥스 코포레이션 측정시스템의 하나 이상의 매개변수를 변경하는 방법
US7248360B2 (en) * 2004-04-02 2007-07-24 Ppd Biomarker Discovery Sciences, Llc Polychronic laser scanning system and method of use
US20060227135A1 (en) * 2005-03-31 2006-10-12 Johnson Peter W System and method for N-dimensional parametric analysis
GB2428471A (en) * 2005-07-18 2007-01-31 Mathshop Ltd Flow cytometry
US8060316B2 (en) * 2005-08-02 2011-11-15 Luminex Corporation Methods, data structures, and systems for classifying microparticles
US20070043510A1 (en) * 2005-08-19 2007-02-22 Beckman Coulter, Inc. Assay system
US8214157B2 (en) * 2006-03-31 2012-07-03 Nodality, Inc. Method and apparatus for representing multidimensional data
US20090269800A1 (en) * 2008-04-29 2009-10-29 Todd Covey Device and method for processing cell samples
US20100030719A1 (en) * 2008-07-10 2010-02-04 Covey Todd M Methods and apparatus related to bioinformatics data analysis
GB2474613A (en) * 2008-07-10 2011-04-20 Nodality Inc Methods and apparatus related to management of experiments
US9183237B2 (en) 2008-07-10 2015-11-10 Nodality, Inc. Methods and apparatus related to gate boundaries within a data space
US20100014741A1 (en) * 2008-07-10 2010-01-21 Banville Steven C Methods and apparatus related to gate boundaries within a data space
EP2347352B1 (en) * 2008-09-16 2019-11-06 Beckman Coulter, Inc. Interactive tree plot for flow cytometry data
US9034257B2 (en) * 2008-10-27 2015-05-19 Nodality, Inc. High throughput flow cytometry system and method
US20100204973A1 (en) * 2009-01-15 2010-08-12 Nodality, Inc., A Delaware Corporation Methods For Diagnosis, Prognosis And Treatment
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US10088407B2 (en) 2013-05-17 2018-10-02 Becton, Dickinson And Company Systems and methods for efficient contours and gating in flow cytometry
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US10876953B2 (en) 2015-07-15 2020-12-29 Becton, Dickinson And Company System and method for label selection
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US10883912B2 (en) 2018-06-04 2021-01-05 Becton, Dickinson And Company Biexponential transformation for graphics display
CN119334855A (zh) 2018-08-30 2025-01-21 贝克顿·迪金森公司 颗粒分析仪的表征和分选
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WO2021155057A1 (en) 2020-01-29 2021-08-05 Becton, Dickinson And Company Barcoded wells for spatial mapping of single cells through sequencing
CN115176139A (zh) 2020-01-31 2022-10-11 贝克顿·迪金森公司 用于调整训练门以适应流式细胞仪数据的方法和系统
CN115867971A (zh) 2020-05-18 2023-03-28 贝克顿·迪金森公司 用于检测数据中的异质性的分辨率指数及其使用方法
JP7766690B2 (ja) 2020-11-19 2025-11-10 ベクトン・ディキンソン・アンド・カンパニー 機械学習分析のためのサイトメトリックデータの最適なスケーリング方法及びそのシステム
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Also Published As

Publication number Publication date
DE69522360D1 (de) 2001-10-04
US5739000A (en) 1998-04-14
CA2146711A1 (en) 1995-10-14
EP0677819B1 (en) 2001-08-29
DE69522360T2 (de) 2002-05-23
EP0677819A1 (en) 1995-10-18

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