SG11201507736PA - Image quality assessment of microscopy images - Google Patents

Image quality assessment of microscopy images

Info

Publication number
SG11201507736PA
SG11201507736PA SG11201507736PA SG11201507736PA SG11201507736PA SG 11201507736P A SG11201507736P A SG 11201507736PA SG 11201507736P A SG11201507736P A SG 11201507736PA SG 11201507736P A SG11201507736P A SG 11201507736PA SG 11201507736P A SG11201507736P A SG 11201507736PA
Authority
SG
Singapore
Prior art keywords
image quality
quality assessment
microscopy images
microscopy
images
Prior art date
Application number
SG11201507736PA
Other languages
English (en)
Inventor
Kevin Bernard Kenny
Megan Pearl Rothney
Original Assignee
Gen Electric
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 Gen Electric filed Critical Gen Electric
Publication of SG11201507736PA publication Critical patent/SG11201507736PA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06V20/693—Acquisition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/37—Determination of transform parameters for the alignment of images, i.e. image registration using transform domain methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/98—Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/993—Evaluation of the quality of the acquired pattern
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/32—Indexing scheme for image data processing or generation, in general involving image mosaicing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30072—Microarray; Biochip, DNA array; Well plate

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Microscoopes, Condenser (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)
SG11201507736PA 2013-03-18 2014-03-18 Image quality assessment of microscopy images SG11201507736PA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US13/846,447 US9064304B2 (en) 2013-03-18 2013-03-18 Image quality assessment of microscopy images
PCT/US2014/030972 WO2014153322A2 (en) 2013-03-18 2014-03-18 Image quality assessment of microscopy images

Publications (1)

Publication Number Publication Date
SG11201507736PA true SG11201507736PA (en) 2015-10-29

Family

ID=50549481

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201507736PA SG11201507736PA (en) 2013-03-18 2014-03-18 Image quality assessment of microscopy images

Country Status (10)

Country Link
US (1) US9064304B2 (ja)
EP (1) EP2976747B1 (ja)
JP (1) JP6594294B2 (ja)
KR (1) KR20150131046A (ja)
CN (1) CN105190690A (ja)
AU (1) AU2014236057B2 (ja)
CA (1) CA2900544A1 (ja)
RU (1) RU2015137587A (ja)
SG (1) SG11201507736PA (ja)
WO (1) WO2014153322A2 (ja)

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US9064304B2 (en) * 2013-03-18 2015-06-23 General Electric Company Image quality assessment of microscopy images
JP2015219282A (ja) * 2014-05-14 2015-12-07 ソニー株式会社 画像処理装置、画像処理プログラム、画像処理方法及び顕微鏡システム
AU2016211981A1 (en) * 2015-01-31 2017-07-27 F. Hoffmann-La Roche Ag Quality control of automated whole-slide analysis
US9767387B2 (en) 2015-09-09 2017-09-19 Accenture Global Services Limited Predicting accuracy of object recognition in a stitched image
JP6952683B2 (ja) 2015-09-17 2021-10-20 エス．ディー．サイト ダイアグノスティクス リミテッド 身体試料中の実体を検出する方法および装置
US9779492B1 (en) 2016-03-15 2017-10-03 International Business Machines Corporation Retinal image quality assessment, error identification and automatic quality correction
US11733150B2 (en) 2016-03-30 2023-08-22 S.D. Sight Diagnostics Ltd. Distinguishing between blood sample components
US10674953B2 (en) * 2016-04-20 2020-06-09 Welch Allyn, Inc. Skin feature imaging system
US11307196B2 (en) 2016-05-11 2022-04-19 S.D. Sight Diagnostics Ltd. Sample carrier for optical measurements
EP3459049B1 (en) * 2016-05-16 2022-05-11 The Governing Council of the University of Toronto Methods and systems for image alignment of at least one image to a model
WO2019097387A1 (en) 2017-11-14 2019-05-23 S.D. Sight Diagnostics Ltd Sample carrier for optical measurements
WO2021127019A1 (en) 2019-12-17 2021-06-24 Applied Materials, Inc. System and method for acquisition and processing of multiplexed fluorescence in-situ hybridization images
WO2021178938A1 (en) * 2020-03-06 2021-09-10 Bostongene Corporation Determining tissue characteristics using multiplexed immunofluorescence imaging
US12056866B2 (en) * 2021-10-28 2024-08-06 Mectron Engineering Company, Inc. Method of optical quality inspection of workpieces

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US6266452B1 (en) 1999-03-18 2001-07-24 Nec Research Institute, Inc. Image registration method
US7219016B2 (en) 2001-04-20 2007-05-15 Yale University Systems and methods for automated analysis of cells and tissues
US20040122787A1 (en) 2002-12-18 2004-06-24 Avinash Gopal B. Enhanced computer-assisted medical data processing system and method
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WO2008080403A1 (en) * 2006-11-16 2008-07-10 Visiopharm A/S Feature-based registration of sectional images
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US9064304B2 (en) * 2013-03-18 2015-06-23 General Electric Company Image quality assessment of microscopy images

Also Published As

Publication number Publication date
JP6594294B2 (ja) 2019-10-23
WO2014153322A2 (en) 2014-09-25
EP2976747A2 (en) 2016-01-27
JP2016514868A (ja) 2016-05-23
CN105190690A (zh) 2015-12-23
US9064304B2 (en) 2015-06-23
EP2976747B1 (en) 2020-01-22
CA2900544A1 (en) 2014-09-25
WO2014153322A3 (en) 2014-11-27
KR20150131046A (ko) 2015-11-24
US20140270425A1 (en) 2014-09-18
AU2014236057B2 (en) 2019-08-01
RU2015137587A (ru) 2017-04-24
AU2014236057A1 (en) 2015-09-03

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