CN105378453B - 用于流体样本中的颗粒的分类的系统和方法 - Google Patents
用于流体样本中的颗粒的分类的系统和方法 Download PDFInfo
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- CN105378453B CN105378453B CN201380067242.6A CN201380067242A CN105378453B CN 105378453 B CN105378453 B CN 105378453B CN 201380067242 A CN201380067242 A CN 201380067242A CN 105378453 B CN105378453 B CN 105378453B
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- 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
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/02—Investigating particle size or size distribution
- G01N15/0205—Investigating particle size or size distribution by optical means
- G01N15/0227—Investigating particle size or size distribution by optical means using imaging; using holography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1434—Optical arrangements
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
-
- 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
- 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
-
- 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
- G06V20/695—Preprocessing, e.g. image segmentation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/20—Image signal generators
- H04N13/296—Synchronisation thereof; Control thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1429—Signal processing
- G01N15/1433—Signal processing using image recognition
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1434—Optical arrangements
- G01N2015/144—Imaging characterised by its optical setup
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N15/1434—Optical arrangements
- G01N2015/144—Imaging characterised by its optical setup
- G01N2015/1445—Three-dimensional imaging, imaging in different image planes, e.g. under different angles or at different depths, e.g. by a relative motion of sample and detector, for instance by tomography
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N15/00—Investigating characteristics of particles; Investigating permeability, pore-volume or surface-area of porous materials
- G01N15/10—Investigating individual particles
- G01N15/14—Optical investigation techniques, e.g. flow cytometry
- G01N2015/1488—Methods for deciding
-
- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10056—Microscopic image
-
- 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
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Immunology (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Dispersion Chemistry (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Biomedical Technology (AREA)
- Signal Processing (AREA)
- Quality & Reliability (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Medical Informatics (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201261739323P | 2012-12-19 | 2012-12-19 | |
| US61/739323 | 2012-12-19 | ||
| DKPA201270800 | 2012-12-19 | ||
| DKPA201270800 | 2012-12-19 | ||
| PCT/DK2013/050445 WO2014094790A1 (en) | 2012-12-19 | 2013-12-19 | System and method for classification of particles in a fluid sample |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105378453A CN105378453A (zh) | 2016-03-02 |
| CN105378453B true CN105378453B (zh) | 2018-09-25 |
Family
ID=50977616
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201380067242.6A Active CN105378453B (zh) | 2012-12-19 | 2013-12-19 | 用于流体样本中的颗粒的分类的系统和方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (3) | US9904842B2 (https=) |
| EP (1) | EP2936116B8 (https=) |
| JP (1) | JP6479676B2 (https=) |
| CN (1) | CN105378453B (https=) |
| WO (1) | WO2014094790A1 (https=) |
Families Citing this family (40)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP3001177A1 (de) | 2014-09-29 | 2016-03-30 | Grundfos Holding A/S | Vorrichtung zum Erfassen von Partikeln in einer Flüssigkeit |
| CN106796169B (zh) * | 2014-10-01 | 2021-01-15 | 水光科技私人有限公司 | 探测流体中颗粒的传感器 |
| EP3037803A1 (de) | 2014-12-22 | 2016-06-29 | Grundfos Holding A/S | Vorrichtung zur durchstrahlenden Untersuchung einer Flüssigkeit |
| EP3037804A1 (de) | 2014-12-22 | 2016-06-29 | Grundfos Holding A/S | Verfahren zum quantitativen und qualitativen Erfassen von Partikeln in Flüssigkeit |
| EP3040705A1 (de) * | 2014-12-30 | 2016-07-06 | Grundfos Holding A/S | Verfahren zum Bestimmen von Partikeln |
| US11627729B2 (en) | 2015-05-21 | 2023-04-18 | Atlantic Sapphire Ip, Llc | Transfer assembly and system for aquaculture |
| JP2017009314A (ja) * | 2015-06-17 | 2017-01-12 | 株式会社Screenホールディングス | 教示データの作成支援方法、作成支援装置、プログラムおよびプログラム記録媒体 |
| WO2017130613A1 (ja) | 2016-01-27 | 2017-08-03 | 株式会社 日立ハイテクノロジーズ | 観察装置 |
| DE102016212164B3 (de) * | 2016-07-04 | 2017-09-21 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. | Verfahren zur Bestimmung der mittleren Partikelgröße von Partikeln, die in einem flüssigen und fließenden Medium suspendiert sind, über dynamische Lichtstreuung und Vorrichtung hierzu |
| CN110023950B (zh) * | 2016-10-28 | 2023-08-08 | 拜克门寇尔特公司 | 物质准备评估系统 |
| CN106599902B (zh) * | 2016-11-04 | 2019-09-24 | 浙江大学 | 一种基于图像的糖晶体分类识别及结晶质量控制方法 |
| JP7012719B2 (ja) * | 2016-11-14 | 2022-02-14 | シーメンス・ヘルスケア・ダイアグノスティックス・インコーポレーテッド | パターン照明を用いて試料を特徴付ける方法及び装置 |
| CN110573883B (zh) * | 2017-04-13 | 2023-05-30 | 美国西门子医学诊断股份有限公司 | 用于在样本表征期间确定标签计数的方法和装置 |
| US10408852B2 (en) * | 2017-04-26 | 2019-09-10 | Lawrence Livermore National Security, Llc | Automated control of microfluidic devices based on machine learning |
| EP3623793B1 (en) * | 2017-05-07 | 2022-09-07 | Aipore Inc. | Identification classification analysis method and classification analysis device |
| WO2019023376A1 (en) * | 2017-07-28 | 2019-01-31 | Siemens Healthcare Diagnostics Inc. | METHODS AND APPARATUS FOR QUANTIFYING DEEP LEARNING VOLUME |
| DE102017009804A1 (de) * | 2017-10-20 | 2019-04-25 | Vermicon Ag | Verfahren zur Bewertung von mikroskopischen Proben und Vorrichtung zur Ausführung dieses Verfahrens |
| CN108593643A (zh) * | 2018-03-13 | 2018-09-28 | 重庆交通大学 | 基于智能移动终端的尿液检测方法 |
| WO2019209977A1 (en) * | 2018-04-26 | 2019-10-31 | Becton, Dickinson And Company | Biexponential transformation for particle sorters |
| CN108710852B (zh) * | 2018-05-21 | 2021-08-03 | 山东大学 | 一种限定拍摄深度的粒度分布图像识别方法及系统 |
| LU100870B1 (de) * | 2018-07-09 | 2020-01-09 | Cytena Gmbh | Verfahren zum Untersuchen einer flüssigen Probe |
| WO2020027923A1 (en) | 2018-07-31 | 2020-02-06 | Amgen Inc. | Robotic system for performing pattern recognition-based inspection of pharmaceutical containers |
| CN112689841A (zh) | 2018-09-07 | 2021-04-20 | 韦务拓客公司 | 微生物信息提供装置及方法 |
| WO2020059522A1 (ja) * | 2018-09-21 | 2020-03-26 | 公立大学法人横浜市立大学 | 生殖医療支援システム |
| CN111104894B (zh) * | 2019-12-17 | 2021-01-12 | 推想医疗科技股份有限公司 | 一种精子标注方法、装置、电子设备及存储介质 |
| US11425895B2 (en) | 2020-03-05 | 2022-08-30 | Atlantic Sapphire Ip, Llc | Method for optimization of filtration in an aquaculture system |
| DE102020107965B3 (de) * | 2020-03-23 | 2021-09-09 | Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung eingetragener Verein | Verfahren zur optischen Bestimmung einer Intensitätsverteilung |
| JP7649506B2 (ja) | 2020-03-30 | 2025-03-21 | 学校法人順天堂 | 疾患鑑別支援方法、疾患鑑別支援装置、及び疾患鑑別支援コンピュータプログラム |
| CN112287563B (zh) * | 2020-11-18 | 2022-08-16 | 华能澜沧江水电股份有限公司 | 探测单分散颗粒体系结晶相前驱体微观结构的方法及系统 |
| WO2022136602A1 (en) * | 2020-12-22 | 2022-06-30 | Radiometer Medical Aps | Blood analyser with image plane analysis and related methods |
| EP4268121A1 (en) | 2020-12-22 | 2023-11-01 | Radiometer Medical ApS | Blood analyser with out-of-focus image plane analysis and related methods |
| US12114644B2 (en) * | 2021-02-26 | 2024-10-15 | Atlantic Sapphire Ip, Llc | Feed consumption monitoring system |
| DE102021123506A1 (de) * | 2021-09-10 | 2023-03-16 | Axel Wilde | Verfahren zur Analyse von Partikeln in Fluid-Gemischen und Gas-Gemischen |
| CN113947575B (zh) * | 2021-10-12 | 2024-07-02 | 北京工业大学 | 一种花粉颗粒检测方法及装置 |
| CH719054A9 (de) * | 2021-10-12 | 2023-06-30 | Uster Technologies Ag | Optische Charakterisierung eines Textilfasergebildes. |
| CN114112819B (zh) * | 2022-01-25 | 2022-05-10 | 北矿智云科技(北京)有限公司 | 一种测量磨矿粒度的方法及装置 |
| CN116485781B (zh) * | 2023-05-17 | 2025-10-17 | 上海交通大学 | 植物叶面颗粒物定量方法及系统 |
| CN121816496A (zh) * | 2023-07-20 | 2026-04-07 | 帕蒂克技术股份有限公司 | 用于对悬浮于流体中的干颗粒物质的横向图像分析的方法 |
| WO2025195567A1 (en) | 2024-03-22 | 2025-09-25 | ParticleTech ApS | A method of examining a particulate substance comprising inorganic particles, comprising determining at least one binder quality associated property |
| CN118937239B (zh) * | 2024-08-01 | 2025-11-28 | 清华大学深圳国际研究生院 | 一种基于后向偏振成像的微塑料快速检测装置和方法 |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4965725B1 (en) * | 1988-04-08 | 1996-05-07 | Neuromedical Systems Inc | Neural network based automated cytological specimen classification system and method |
| DE69429145T2 (de) | 1993-08-19 | 2002-07-18 | Hitachi, Ltd. | Klassifikation und Prüfvorrichtung für Teilchen in einer Flüssigkeit |
| JPH08320285A (ja) * | 1995-05-25 | 1996-12-03 | Hitachi Ltd | 粒子分析装置 |
| JP2891159B2 (ja) * | 1996-02-14 | 1999-05-17 | 日本電気株式会社 | 多眼画像からの物体検出方式 |
| DE19616997A1 (de) | 1996-04-27 | 1997-10-30 | Boehringer Mannheim Gmbh | Verfahren zur automatisierten mikroskopunterstützten Untersuchung von Gewebeproben oder Körperflüssigkeitsproben |
| KR100303608B1 (ko) * | 1997-05-22 | 2001-11-22 | 박호군 | 혈구세포자동인식방법및장치 |
| US6996549B2 (en) * | 1998-05-01 | 2006-02-07 | Health Discovery Corporation | Computer-aided image analysis |
| WO2001082216A1 (en) | 2000-04-24 | 2001-11-01 | International Remote Imaging Systems, Inc. | Multi-neural net imaging apparatus and method |
| US6583865B2 (en) * | 2000-08-25 | 2003-06-24 | Amnis Corporation | Alternative detector configuration and mode of operation of a time delay integration particle analyzer |
| WO2003095986A1 (en) | 2002-05-14 | 2003-11-20 | Amersham Biosciences Niagara, Inc. | System and methods for rapid and automated screening of cells |
| WO2006055413A2 (en) * | 2004-11-11 | 2006-05-26 | The Trustees Of Columbia University In The City Of New York | Methods and systems for identifying and localizing objects based on features of the objects that are mapped to a vector |
| BRPI0501535B8 (pt) * | 2005-04-26 | 2021-07-27 | Mario Augusto Pazoti | método de identificação do guignardia citricarpa |
| US20090295963A1 (en) | 2006-02-10 | 2009-12-03 | Pascal Bamford | Method and apparatus and computer program product for collecting digital image data from microscope media-based specimens |
| SE530750C2 (sv) * | 2006-07-19 | 2008-09-02 | Hemocue Ab | En mätapparat, en metod och ett datorprogram |
| US8753026B2 (en) | 2007-06-29 | 2014-06-17 | R.R. Donnelley & Sons Company | Use of a sense mark to control a printing system |
| JP5068121B2 (ja) | 2007-08-27 | 2012-11-07 | 株式会社ミツトヨ | 顕微鏡および三次元情報取得方法 |
| SE532499C2 (sv) | 2008-01-18 | 2010-02-09 | Hemocue Ab | Metod och apparat för analys av partiklar i ett vätskeformigt prov |
| DK200801722A (en) * | 2008-12-05 | 2010-06-06 | Unisensor As | Optical sectioning of a sample and detection of particles in a sample |
| GB0909461D0 (en) | 2009-06-02 | 2009-07-15 | Ge Healthcare Uk Ltd | Image analysis |
| US9001200B2 (en) * | 2010-01-12 | 2015-04-07 | Bio-Rad Laboratories, Inc. | Cell characterization using multiple focus planes |
-
2013
- 2013-12-19 US US14/654,347 patent/US9904842B2/en active Active
- 2013-12-19 WO PCT/DK2013/050445 patent/WO2014094790A1/en not_active Ceased
- 2013-12-19 CN CN201380067242.6A patent/CN105378453B/zh active Active
- 2013-12-19 JP JP2015548214A patent/JP6479676B2/ja active Active
- 2013-12-19 EP EP13865548.5A patent/EP2936116B8/en active Active
-
2018
- 2018-02-02 US US15/886,925 patent/US10192100B2/en active Active
- 2018-12-24 US US16/231,650 patent/US10430640B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US20190130162A1 (en) | 2019-05-02 |
| JP2016505836A (ja) | 2016-02-25 |
| US10430640B2 (en) | 2019-10-01 |
| EP2936116B1 (en) | 2020-02-12 |
| US10192100B2 (en) | 2019-01-29 |
| EP2936116A1 (en) | 2015-10-28 |
| US9904842B2 (en) | 2018-02-27 |
| US20180157894A1 (en) | 2018-06-07 |
| EP2936116A4 (en) | 2016-08-17 |
| WO2014094790A1 (en) | 2014-06-26 |
| US20150347817A1 (en) | 2015-12-03 |
| EP2936116B8 (en) | 2020-04-01 |
| JP6479676B2 (ja) | 2019-03-06 |
| CN105378453A (zh) | 2016-03-02 |
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