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)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Software Systems (AREA)
  • Medical Informatics (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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ES06850118T Active ES2373689T3 (es) 2005-11-12 2006-11-08 Análisis de lapsos temporales del ciclo celular de núcleos no tincionados.

Country Status (10)

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

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
WO2009082523A2 (en) * 2007-09-26 2009-07-02 Massachusetts Institute Of Technology High-resolution 3d imaging of single semiconductor nanocrystals
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
EP3286337A4 (en) * 2015-04-23 2018-12-12 Cedars-Sinai Medical Center Automated delineation of nuclei for three dimensional (3-d) high content screening
WO2017002300A1 (en) 2015-06-30 2017-01-05 Sony Corporation Information processing apparatus, information processing system, and information processing method
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
US10510150B2 (en) 2017-06-20 2019-12-17 International Business Machines Corporation Searching trees: live time-lapse cell-cycle progression modeling and analysis
EP3664705A4 (en) 2017-08-09 2021-09-29 Allen Institute IMAGE PROCESSING SYSTEMS, DEVICES AND METHODS FOR GENERATING AN IMAGE WITH PREDICTIVE MARKING
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
WO1997004418A1 (en) 1995-07-19 1997-02-06 Morphometrix Technologies Inc. Multi-spectral segmentation for image analysis
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
EP1616286A1 (en) 2003-04-02 2006-01-18 Amersham Biosciences UK Limited Method of, and computer software for, classification of cells into subpopulations
GB0307684D0 (en) 2003-04-02 2003-05-07 Amersham Biosciences Uk Ltd Determining cell cycle phase 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
DK1946270T3 (da) 2011-12-12
AU2006338566A1 (en) 2007-08-30
WO2007097816A3 (en) 2008-01-10
US7817841B2 (en) 2010-10-19
ATE532154T1 (de) 2011-11-15
PL1946270T3 (pl) 2012-05-31
JP2009515533A (ja) 2009-04-16
WO2007097816A2 (en) 2007-08-30
CA2629349A1 (en) 2007-08-30
CA2629349C (en) 2014-08-26
JP5069245B2 (ja) 2012-11-07
AU2006338566B2 (en) 2011-12-15
EP1946270A2 (en) 2008-07-23
EP1946270B1 (en) 2011-11-02
US20070109874A1 (en) 2007-05-17

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