ES2373689T3 - Análisis de lapsos temporales del ciclo celular de núcleos no tincionados. - Google Patents

Análisis de lapsos temporales del ciclo celular de núcleos no tincionados. Download PDF

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Publication number
ES2373689T3
ES2373689T3 ES06850118T ES06850118T ES2373689T3 ES 2373689 T3 ES2373689 T3 ES 2373689T3 ES 06850118 T ES06850118 T ES 06850118T ES 06850118 T ES06850118 T ES 06850118T ES 2373689 T3 ES2373689 T3 ES 2373689T3
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cell
cells
cell cycle
dimensional
code
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Spanish (es)
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Jens Rittscher
Dirk R. Padfield
Thomas Sebastian
Nicholas Thomas
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General Electric Co
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General Electric Co
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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/12Edge-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/149Segmentation; Edge detection involving deformable models, e.g. active contour models
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/174Segmentation; Edge detection involving the use of two or more images
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; 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
    • G06V20/695Preprocessing, e.g. image segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10064Fluorescence image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20156Automatic seed setting
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • G06T2207/20161Level set
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Processing (AREA)
  • Apparatus Associated With Microorganisms And Enzymes (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
ES06850118T 2005-11-12 2006-11-08 Análisis de lapsos temporales del ciclo celular de núcleos no tincionados. Active ES2373689T3 (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US73634505P 2005-11-12 2005-11-12
US736345P 2005-11-12
PCT/US2006/060646 WO2007097816A2 (en) 2005-11-12 2006-11-08 Time-lapse cell cycle analysis of unstained nuclei

Publications (1)

Publication Number Publication Date
ES2373689T3 true ES2373689T3 (es) 2012-02-07

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Country Status (10)

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US (1) US7817841B2 (enExample)
EP (1) EP1946270B1 (enExample)
JP (1) JP5069245B2 (enExample)
AT (1) ATE532154T1 (enExample)
AU (1) AU2006338566B2 (enExample)
CA (1) CA2629349C (enExample)
DK (1) DK1946270T3 (enExample)
ES (1) ES2373689T3 (enExample)
PL (1) PL1946270T3 (enExample)
WO (1) WO2007097816A2 (enExample)

Families Citing this family (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4973162B2 (ja) * 2006-12-01 2012-07-11 株式会社ニコン 画像処理装置、画像処理プログラム及び観察システム
WO2008153836A2 (en) * 2007-05-31 2008-12-18 President And Fellows Of Harvard College Target-locking acquisition with real-time confocal (tarc) microscopy
US7940978B2 (en) * 2007-06-05 2011-05-10 General Electric Company Automatic characterization of cellular motion
US8411919B2 (en) * 2008-07-07 2013-04-02 Siemens Aktiengesellschaft Fluid dynamics approach to image segmentation
JP2010540939A (ja) * 2007-09-26 2010-12-24 マサチューセッツ インスティテュート オブ テクノロジー 単一半導体ナノクリスタルの高分解能3dイメージング
JP5762764B2 (ja) * 2011-02-09 2015-08-12 オリンパス株式会社 細胞画像解析システム
US9070004B2 (en) * 2012-05-03 2015-06-30 General Electric Company Automatic segmentation and characterization of cellular motion
CN103218828B (zh) * 2013-03-22 2015-09-30 常熟理工学院 一种多细胞相互作用跟踪系统
US9173909B2 (en) * 2013-05-23 2015-11-03 Drvision Technologies Llc Image guided protocol for cell generation
US20150269314A1 (en) 2014-03-20 2015-09-24 Rudjer Boskovic Institute Method and apparatus for unsupervised segmentation of microscopic color image of unstained specimen and digital staining of segmented histological structures
WO2016172612A1 (en) * 2015-04-23 2016-10-27 Cedars-Sinai Medical Center Automated delineation of nuclei for three dimensional (3-d) high content screening
JP6746945B2 (ja) * 2015-06-30 2020-08-26 ソニー株式会社 情報処理装置、情報処理システム及び情報処理方法
WO2017002300A1 (en) 2015-06-30 2017-01-05 Sony Corporation Information processing apparatus, information processing system, and information processing method
US10510150B2 (en) * 2017-06-20 2019-12-17 International Business Machines Corporation Searching trees: live time-lapse cell-cycle progression modeling and analysis
CA3213179A1 (en) 2017-08-09 2019-02-14 Allen Institute Systems, devices, and methods for image processing to generate an image having predictive tagging
US10423819B2 (en) * 2017-10-31 2019-09-24 Chung Yuan Christian University Method and apparatus for image processing and visualization for analyzing cell kinematics in cell culture
EP3734345B1 (en) 2019-04-30 2023-08-02 Leica Microsystems CMS GmbH Image processing device, system, and method for improving signal-to-noise of microscopy images
US11947270B2 (en) * 2020-02-26 2024-04-02 Fei Company Metrology of semiconductor devices in electron micrographs using fast marching level sets
WO2022035973A1 (en) 2020-08-12 2022-02-17 Allen Institute Systems, devices, and methods for quality control of cell production using predictive tagging

Family Cites Families (30)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE2903855A1 (de) * 1979-02-01 1980-08-14 Bloss Werner H Prof Dr Ing Verfahren zum automatischen markieren von zellen und bestimmung der merkmale von zellen aus zytologischen abstrichpraeparaten
DE3836716A1 (de) 1988-10-28 1990-05-03 Zeiss Carl Fa Verfahren zur auswertung von zellbildern
US5162990A (en) * 1990-06-15 1992-11-10 The United States Of America As Represented By The United States Navy System and method for quantifying macrophage phagocytosis by computer image analysis
US5548661A (en) * 1991-07-12 1996-08-20 Price; Jeffrey H. Operator independent image cytometer
US5361763A (en) 1993-03-02 1994-11-08 Wisconsin Alumni Research Foundation Method for segmenting features in an image
JP2000501829A (ja) * 1995-07-19 2000-02-15 モルフォメトリックス テクノロジーズ インク. 画像解析用の多スペクトル分割
AUPP278698A0 (en) * 1998-04-03 1998-04-30 University Of Queensland, The Method of cell nuclei segmentation
US7151847B2 (en) * 2001-02-20 2006-12-19 Cytokinetics, Inc. Image analysis of the golgi complex
US7546210B2 (en) * 2000-06-08 2009-06-09 The Regents Of The University Of California Visual-servoing optical microscopy
AUPQ849200A0 (en) * 2000-06-30 2000-07-27 Cea Technologies Inc. Unsupervised scene segmentation
US20030134269A1 (en) * 2000-11-22 2003-07-17 Hiroyuki Hirai Cell proliferation ability evaluation method and apparatus
US6956961B2 (en) * 2001-02-20 2005-10-18 Cytokinetics, Inc. Extracting shape information contained in cell images
WO2002080110A1 (en) * 2001-03-29 2002-10-10 Koninklijke Philips Electronics N.V. Image processing method for fitness estimation of a 3d mesh model mapped onto a 3d surface of an object
US20040071328A1 (en) * 2001-09-07 2004-04-15 Vaisberg Eugeni A. Classifying cells based on information contained in cell images
JP4749637B2 (ja) * 2001-09-28 2011-08-17 オリンパス株式会社 画像解析方法、装置、及び記録媒体
US7756305B2 (en) * 2002-01-23 2010-07-13 The Regents Of The University Of California Fast 3D cytometry for information in tissue engineering
DE10217858C1 (de) * 2002-04-22 2003-10-02 Fraunhofer Ges Forschung Verfahren zur Trennung einer in einer Probe enthaltenen Zellgruppe in Einzelzellen
US7274809B2 (en) 2002-08-29 2007-09-25 Perceptronix Medical, Inc. And British Columbia Cancer Agency Computerized methods and systems related to the detection of malignancy-associated changes (MAC) to detect cancer
US20040114800A1 (en) * 2002-09-12 2004-06-17 Baylor College Of Medicine System and method for image segmentation
GB0307684D0 (en) 2003-04-02 2003-05-07 Amersham Biosciences Uk Ltd Determining cell cycle phase data
US7369696B2 (en) * 2003-04-02 2008-05-06 Ge Healthcare Uk Limited Classification of cells into subpopulations using cell classifying data
WO2004099773A1 (en) * 2003-04-30 2004-11-18 Pfizer Products Inc. Automated in vitro cellular imaging assays for micronuclei and other target objects
US20060247862A1 (en) * 2003-09-08 2006-11-02 Arini Nicholas S Determining cell cycle phase data
JP3955953B2 (ja) * 2003-09-12 2007-08-08 国立大学法人広島大学 画像分割処理装置、画像分割処理方法及び画像分割処理集積化回路
US7580556B2 (en) * 2004-01-26 2009-08-25 Drvision Technologies Llc Image region partitioning using pre-labeled regions
GB2412803A (en) 2004-03-30 2005-10-05 Amersham Biosciences Niagara I Image segmentation using local and remote pixel value comparison
US20050273271A1 (en) * 2004-04-05 2005-12-08 Aibing Rao Method of characterizing cell shape
US7711174B2 (en) * 2004-05-13 2010-05-04 The Charles Stark Draper Laboratory, Inc. Methods and systems for imaging cells
EP1615170A1 (en) 2004-07-10 2006-01-11 Evotec Technologies GmbH Image segmentation algorithms for applications in cellular biology
US20060127881A1 (en) 2004-10-25 2006-06-15 Brigham And Women's Hospital Automated segmentation, classification, and tracking of cell nuclei in time-lapse microscopy

Also Published As

Publication number Publication date
EP1946270B1 (en) 2011-11-02
US20070109874A1 (en) 2007-05-17
JP5069245B2 (ja) 2012-11-07
AU2006338566A1 (en) 2007-08-30
DK1946270T3 (da) 2011-12-12
CA2629349C (en) 2014-08-26
EP1946270A2 (en) 2008-07-23
US7817841B2 (en) 2010-10-19
ATE532154T1 (de) 2011-11-15
AU2006338566B2 (en) 2011-12-15
JP2009515533A (ja) 2009-04-16
WO2007097816A2 (en) 2007-08-30
CA2629349A1 (en) 2007-08-30
PL1946270T3 (pl) 2012-05-31
WO2007097816A3 (en) 2008-01-10

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