CN105190690A - 显微图像的图像质量评估 - Google Patents

显微图像的图像质量评估 Download PDF

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Publication number
CN105190690A
CN105190690A CN201480016594.3A CN201480016594A CN105190690A CN 105190690 A CN105190690 A CN 105190690A CN 201480016594 A CN201480016594 A CN 201480016594A CN 105190690 A CN105190690 A CN 105190690A
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CN
China
Prior art keywords
image
pixel
correlation
computer
implemented method
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.)
Pending
Application number
CN201480016594.3A
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English (en)
Chinese (zh)
Inventor
K.B.肯尼
M.P.罗思尼
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.)
General Electric Co
Original Assignee
General Electric Co
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 General Electric Co filed Critical General Electric Co
Publication of CN105190690A publication Critical patent/CN105190690A/zh
Pending legal-status Critical Current

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Classifications

    • 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
    • G06V20/693—Acquisition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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)
CN201480016594.3A 2013-03-18 2014-03-18 显微图像的图像质量评估 Pending CN105190690A (zh)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US13/846447 2013-03-18
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
CN105190690A true CN105190690A (zh) 2015-12-23

Family

ID=50549481

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201480016594.3A Pending CN105190690A (zh) 2013-03-18 2014-03-18 显微图像的图像质量评估

Country Status (10)

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

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US10488644B2 (en) 2015-09-17 2019-11-26 S.D. Sight Diagnostics Ltd. Methods and apparatus for detecting an entity in a bodily sample
US9779492B1 (en) 2016-03-15 2017-10-03 International Business Machines Corporation Retinal image quality assessment, error identification and automatic quality correction
CA3018536A1 (en) 2016-03-30 2017-10-05 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
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EP3455626B1 (en) 2016-05-11 2025-08-06 S.D. Sight Diagnostics Ltd. Performing optical measurements on a sample
US9830732B1 (en) * 2016-05-16 2017-11-28 The Governing Council Of The University Of Toronto Methods and systems for image alignment of at least one image to a model
CN111788471B (zh) 2017-11-14 2023-12-12 思迪赛特诊断有限公司 用于光学测量的样品载体
AU2020370212B2 (en) 2019-10-22 2025-09-25 S.D. Sight Diagnostics Ltd Accounting for errors in optical measurements
CN114787625B (zh) 2019-12-12 2026-01-13 思迪赛特诊断有限公司 检测血液样品中的血小板
JP7677972B2 (ja) 2019-12-12 2025-05-15 エス．ディー．サイト ダイアグノスティックス リミテッド カラー血液スミア画像の人工的な生成
BR112022011312A2 (pt) 2019-12-12 2022-08-23 S D Sight Diagnostics Ltd Análise de um analito disposto dentro de um meio
US20210182531A1 (en) 2019-12-17 2021-06-17 Applied Materials, Inc. Registration techniques for multiplexed fluorescence in-situ hybridization images
SG10202001656VA (en) * 2020-02-25 2021-09-29 Emage Ai Pte Ltd A computer implemented process to enhance edge defect detection and other defects in ophthalmic lenses
JP7592737B2 (ja) 2020-03-06 2024-12-02 ボストンジーン コーポレイション 多重免疫蛍光イメージングを使用する組織特性の決定
US12056866B2 (en) 2021-10-28 2024-08-06 Mectron Engineering Company, Inc. Method of optical quality inspection of workpieces

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JP2004240931A (ja) * 2003-02-05 2004-08-26 Sony Corp 画像照合装置、画像照合方法、およびプログラム
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Also Published As

Publication number Publication date
WO2014153322A3 (en) 2014-11-27
AU2014236057B2 (en) 2019-08-01
US9064304B2 (en) 2015-06-23
US20140270425A1 (en) 2014-09-18
WO2014153322A2 (en) 2014-09-25
SG11201507736PA (en) 2015-10-29
JP6594294B2 (ja) 2019-10-23
EP2976747A2 (en) 2016-01-27
CA2900544A1 (en) 2014-09-25
JP2016514868A (ja) 2016-05-23
KR20150131046A (ko) 2015-11-24
RU2015137587A (ru) 2017-04-24
AU2014236057A1 (en) 2015-09-03
EP2976747B1 (en) 2020-01-22

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Application publication date: 20151223