JP7072049B2 - コンボリューショナル・ニューラルを用いた、ホログラフィック顕微鏡で取得した細胞画像の品質の識別方法 - Google Patents
コンボリューショナル・ニューラルを用いた、ホログラフィック顕微鏡で取得した細胞画像の品質の識別方法 Download PDFInfo
- Publication number
- JP7072049B2 JP7072049B2 JP2020508555A JP2020508555A JP7072049B2 JP 7072049 B2 JP7072049 B2 JP 7072049B2 JP 2020508555 A JP2020508555 A JP 2020508555A JP 2020508555 A JP2020508555 A JP 2020508555A JP 7072049 B2 JP7072049 B2 JP 7072049B2
- Authority
- JP
- Japan
- Prior art keywords
- pixels
- images
- microscope
- image
- focus
- 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.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03H—HOLOGRAPHIC PROCESSES OR APPARATUS
- G03H1/00—Holographic processes or apparatus using light, infrared or ultraviolet waves for obtaining holograms or for obtaining an image from them; Details peculiar thereto
- G03H1/04—Processes or apparatus for producing holograms
- G03H1/08—Synthesising holograms, i.e. holograms synthesized from objects or objects from holograms
- G03H1/0866—Digital holographic imaging, i.e. synthesizing holobjects from holograms
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B21/00—Microscopes
- G02B21/24—Base structure
- G02B21/241—Devices for focusing
- G02B21/244—Devices for focusing using image analysis techniques
-
- G—PHYSICS
- G02—OPTICS
- G02B—OPTICAL ELEMENTS, SYSTEMS OR APPARATUS
- G02B21/00—Microscopes
- G02B21/36—Microscopes arranged for photographic purposes or projection purposes or digital imaging or video purposes including associated control and data processing arrangements
- G02B21/365—Control or image processing arrangements for digital or video microscopes
- G02B21/367—Control or image processing arrangements for digital or video microscopes providing an output produced by processing a plurality of individual source images, e.g. image tiling, montage, composite images, depth sectioning, image comparison
-
- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03H—HOLOGRAPHIC PROCESSES OR APPARATUS
- G03H1/00—Holographic processes or apparatus using light, infrared or ultraviolet waves for obtaining holograms or for obtaining an image from them; Details peculiar thereto
- G03H1/0005—Adaptation of holography to specific applications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
-
- 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
- G06T7/10—Segmentation; Edge detection
- G06T7/136—Segmentation; Edge detection involving thresholding
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- 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
- 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
-
- 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
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03H—HOLOGRAPHIC PROCESSES OR APPARATUS
- G03H1/00—Holographic processes or apparatus using light, infrared or ultraviolet waves for obtaining holograms or for obtaining an image from them; Details peculiar thereto
- G03H1/0005—Adaptation of holography to specific applications
- G03H2001/005—Adaptation of holography to specific applications in microscopy, e.g. digital holographic microscope [DHM]
-
- 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
- G06T2207/20081—Training; Learning
-
- 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
- G06T2207/20112—Image segmentation details
- G06T2207/20132—Image cropping
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20216—Image averaging
-
- 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
- G06T2207/20212—Image combination
- G06T2207/20224—Image subtraction
-
- 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
- G06T2207/30168—Image quality inspection
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Medical Informatics (AREA)
- Quality & Reliability (AREA)
- Life Sciences & Earth Sciences (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Data Mining & Analysis (AREA)
- Computing Systems (AREA)
- Chemical & Material Sciences (AREA)
- Optics & Photonics (AREA)
- Analytical Chemistry (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Evolutionary Biology (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Radiology & Medical Imaging (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Image Analysis (AREA)
- Microscoopes, Condenser (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201762545517P | 2017-08-15 | 2017-08-15 | |
| US62/545,517 | 2017-08-15 | ||
| PCT/EP2018/068345 WO2019034328A1 (en) | 2017-08-15 | 2018-07-06 | IDENTIFYING THE QUALITY OF CELLULAR IMAGES ACQUIRED USING DIGITAL HOLOGRAPHIC MICROSCOPY USING CONVOLUTIONAL NEURAL NETWORKS |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2020531971A JP2020531971A (ja) | 2020-11-05 |
| JP2020531971A5 JP2020531971A5 (enExample) | 2020-12-24 |
| JP7072049B2 true JP7072049B2 (ja) | 2022-05-19 |
Family
ID=63077840
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020508555A Active JP7072049B2 (ja) | 2017-08-15 | 2018-07-06 | コンボリューショナル・ニューラルを用いた、ホログラフィック顕微鏡で取得した細胞画像の品質の識別方法 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11227386B2 (enExample) |
| EP (1) | EP3669227B8 (enExample) |
| JP (1) | JP7072049B2 (enExample) |
| CN (1) | CN111051955B (enExample) |
| WO (1) | WO2019034328A1 (enExample) |
Families Citing this family (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11222415B2 (en) * | 2018-04-26 | 2022-01-11 | The Regents Of The University Of California | Systems and methods for deep learning microscopy |
| US10706328B2 (en) | 2018-05-07 | 2020-07-07 | Google Llc | Focus-weighted, machine learning disease classifier error prediction for microscope slide images |
| US11157816B2 (en) * | 2018-10-17 | 2021-10-26 | Capital One Services, Llc | Systems and methods for selecting and generating log parsers using neural networks |
| EP3644228B1 (en) * | 2018-10-23 | 2024-08-14 | The Chinese University Of Hong Kong | Method and apparatus for segmenting cellular image |
| DE102018133188A1 (de) * | 2018-12-20 | 2020-06-25 | Carl Zeiss Microscopy Gmbh | Abstandbestimmung einer probenebene in einem mikroskopsystem |
| US11405547B2 (en) * | 2019-02-01 | 2022-08-02 | Electronics And Telecommunications Research Institute | Method and apparatus for generating all-in-focus image using multi-focus image |
| WO2020219468A1 (en) * | 2019-04-22 | 2020-10-29 | The Regents Of The University Of California | System and method for deep learning-based color holographic microscopy |
| EP3757648B1 (en) * | 2019-06-28 | 2023-08-30 | Associação Fraunhofer Portugal | Optical system attachable to a mobile device for scanning biological sample slides and operating method thereof |
| CN110516561B (zh) * | 2019-08-05 | 2022-12-06 | 西安电子科技大学 | 基于dcgan和cnn的sar图像目标识别方法 |
| CN110736747B (zh) * | 2019-09-03 | 2022-08-19 | 深思考人工智能机器人科技(北京)有限公司 | 一种细胞液基涂片镜下定位的方法及系统 |
| CN111091539B (zh) * | 2019-12-09 | 2024-03-26 | 上海联影智能医疗科技有限公司 | 网络模型训练、医学图像处理方法、装置、介质及设备 |
| DE102020106857A1 (de) * | 2020-03-12 | 2021-09-16 | Carl Zeiss Microscopy Gmbh | Mikroskopiesystem und verfahren zum verarbeiten von mikroskopbildern |
| US20230085827A1 (en) * | 2020-03-20 | 2023-03-23 | The Regents Of The University Of California | Single-shot autofocusing of microscopy images using deep learning |
| GB2595873B (en) * | 2020-06-09 | 2023-01-25 | Ffei Ltd | A method for analysing scanning efficacy |
| WO2022004318A1 (ja) | 2020-07-02 | 2022-01-06 | 富士フイルム株式会社 | 情報処理装置、情報処理方法、及びプログラム |
| GB2596864A (en) * | 2020-07-10 | 2022-01-12 | Graphcore Ltd | Machine learning computer |
| KR20230021136A (ko) * | 2020-08-07 | 2023-02-13 | 나노트로닉스 이미징, 인코포레이티드 | 자동 초점 현미경 시스템을 위한 딥 러닝 모델 |
| CN111709390A (zh) * | 2020-08-11 | 2020-09-25 | 山东省食品药品检验研究院 | 基于显微图像的草酸钙晶体智能鉴别方法和系统 |
| JP7495301B2 (ja) * | 2020-08-28 | 2024-06-04 | 浜松ホトニクス株式会社 | 学習モデル生成方法、識別方法、学習モデル生成システム、識別システム、学習モデル生成プログラム、識別プログラム及び記録媒体 |
| WO2022113366A1 (ja) * | 2020-11-30 | 2022-06-02 | 株式会社ニコン | 学習済みモデルを生成する方法、画像処理方法、画像変換装置、プログラム |
| KR102449858B1 (ko) * | 2021-07-08 | 2022-09-30 | 가톨릭대학교 산학협력단 | 암 세포 판정을 위한 핵이미지 선별 장치 및 핵이미지 선별 방법 |
| US20240370998A1 (en) * | 2021-07-29 | 2024-11-07 | Shimadzu Corporation | Cell image analysis method |
| TWI828009B (zh) * | 2021-11-19 | 2024-01-01 | 財團法人工業技術研究院 | 免標記式細胞活性檢測的方法及訓練人工智慧執行免標記式細胞活性檢測的方法 |
| US11906433B2 (en) * | 2021-12-14 | 2024-02-20 | Instituto Potosino de Investigación Científica y Tecnológica A.C. | System and method for three-dimensional imaging of unstained samples using bright field microscopy |
| CN118435233A (zh) * | 2021-12-17 | 2024-08-02 | 贝克曼库尔特有限公司 | 通过多层处理的聚焦质量确定 |
| KR102436267B1 (ko) * | 2021-12-24 | 2022-08-26 | (주)힉스컴퍼니 | 병렬 처리 방법 및 이를 이용한 고속 프로세싱 시스템 |
| WO2024181593A1 (ko) * | 2023-02-27 | 2024-09-06 | 가톨릭대학교 산학협력단 | 암 세포 판정을 위한 핵이미지 선별 장치 및 핵이미지 선별 방법 |
| CN116563735A (zh) * | 2023-05-15 | 2023-08-08 | 国网电力空间技术有限公司 | 一种基于深度人工智能的输电杆塔巡检图像对焦判断方法 |
| DE102024116985A1 (de) * | 2024-06-17 | 2025-12-18 | Carl Zeiss Microscopy Gmbh | Verfahren zum Nachführen einer Fokuslage einer Bildgebungseinrichtung in eine Soll-Fokuslage |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017516992A (ja) | 2014-05-23 | 2017-06-22 | ベンタナ メディカル システムズ, インコーポレイテッド | 画像内の生物学的構造及び/又はパターンの検出のためのシステム及び方法 |
Family Cites Families (35)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4998284A (en) * | 1987-11-17 | 1991-03-05 | Cell Analysis Systems, Inc. | Dual color camera microscope and methodology for cell staining and analysis |
| US5655028A (en) * | 1991-12-30 | 1997-08-05 | University Of Iowa Research Foundation | Dynamic image analysis system |
| WO1996010237A1 (en) * | 1994-09-20 | 1996-04-04 | Neopath, Inc. | Biological specimen analysis system processing integrity checking apparatus |
| JPH09311102A (ja) * | 1996-05-24 | 1997-12-02 | Hitachi Ltd | フロー式粒子画像解析方法および装置 |
| US7034883B1 (en) * | 1999-08-10 | 2006-04-25 | Cellavision Ab | Automatic focusing |
| DE60045076D1 (de) * | 1999-08-10 | 2010-11-18 | Cellavision Ab | Verfahren und Vorrichtungen in einem optischen System |
| US20030143524A1 (en) * | 2002-01-31 | 2003-07-31 | Boaz Lerner | Method and system for determining the amount, distribution and conformation of genetic material in a cell |
| US7760927B2 (en) * | 2003-09-10 | 2010-07-20 | Bioimagene, Inc. | Method and system for digital image based tissue independent simultaneous nucleus cytoplasm and membrane quantitation |
| US20060178833A1 (en) * | 2005-02-04 | 2006-08-10 | Bauer Kenneth D | System for and method of providing diagnostic information through microscopic imaging |
| SE530750C2 (sv) * | 2006-07-19 | 2008-09-02 | Hemocue Ab | En mätapparat, en metod och ett datorprogram |
| US8143600B2 (en) * | 2008-02-18 | 2012-03-27 | Visiongate, Inc. | 3D imaging of live cells with ultraviolet radiation |
| US8326029B1 (en) * | 2008-03-21 | 2012-12-04 | Hewlett-Packard Development Company, L.P. | Background color driven content retrieval |
| US7761250B2 (en) * | 2008-06-18 | 2010-07-20 | Tokyo Electron Limited | Optical metrology system optimized with design goals |
| JP5476879B2 (ja) * | 2008-09-29 | 2014-04-23 | ソニー株式会社 | 画像処理装置および係数学習装置。 |
| US8049811B2 (en) * | 2009-01-28 | 2011-11-01 | Board Of Regents, The University Of Texas System | Automatic focusing apparatus and method for digital images using automatic filter switching |
| ES2972747T3 (es) * | 2009-08-22 | 2024-06-14 | Ares Trading Sa | Obtención de imágenes y evaluación de embriones, ovocitos y células madre |
| EP2476053A4 (en) | 2009-09-08 | 2014-03-12 | Nodality Inc | ANALYSIS OF CELL NETWORKS |
| EP2495698B1 (en) * | 2009-10-27 | 2018-05-02 | Fujitsu Limited | Biometric information processing device, biometric information processing method, and computer program for biometric information processing |
| US8744164B2 (en) * | 2010-04-06 | 2014-06-03 | Institute For Systems Biology | Automated analysis of images using bright field microscopy |
| US8503801B2 (en) * | 2010-09-21 | 2013-08-06 | Adobe Systems Incorporated | System and method for classifying the blur state of digital image pixels |
| CN102411715A (zh) | 2010-09-21 | 2012-04-11 | 张云超 | 有监督学习功能的细胞图像自动分类方法和系统 |
| US9562861B2 (en) | 2011-04-05 | 2017-02-07 | Nalco Company | Method of monitoring macrostickies in a recycling and paper or tissue making process involving recycled pulp |
| US20140192178A1 (en) * | 2011-08-12 | 2014-07-10 | Agency For Science, Technology And Research | Method and system for tracking motion of microscopic objects within a three-dimensional volume |
| US8885941B2 (en) * | 2011-09-16 | 2014-11-11 | Adobe Systems Incorporated | System and method for estimating spatially varying defocus blur in a digital image |
| US8902328B2 (en) * | 2013-03-14 | 2014-12-02 | Konica Minolta Laboratory U.S.A., Inc. | Method of selecting a subset from an image set for generating high dynamic range image |
| EP3155558A1 (en) | 2014-06-16 | 2017-04-19 | Siemens Healthcare Diagnostics Inc. | Analyzing digital holographic microscopy data for hematology applications |
| US9927604B2 (en) * | 2014-09-12 | 2018-03-27 | Research Foundation Of The City University Of New York | Biologically inspired algorithm based method for near real-time tracking of moving objects in three dimensional environment |
| US9524450B2 (en) * | 2015-03-04 | 2016-12-20 | Accenture Global Services Limited | Digital image processing using convolutional neural networks |
| US9836839B2 (en) * | 2015-05-28 | 2017-12-05 | Tokitae Llc | Image analysis systems and related methods |
| US10957042B2 (en) | 2015-09-22 | 2021-03-23 | Siemens Healthcare Gmbh | Auto-referencing in digital holographic microscopy reconstruction |
| US10460231B2 (en) * | 2015-12-29 | 2019-10-29 | Samsung Electronics Co., Ltd. | Method and apparatus of neural network based image signal processor |
| ES2944957T3 (es) | 2016-03-16 | 2023-06-27 | Siemens Healthcare Gmbh | Diferencial de 5 partes de alta exactitud con microscopía holográfica digital y leucocitos intactos de sangre periférica |
| US20180018757A1 (en) * | 2016-07-13 | 2018-01-18 | Kenji Suzuki | Transforming projection data in tomography by means of machine learning |
| US10573003B2 (en) * | 2017-02-13 | 2020-02-25 | Amit Sethi | Systems and methods for computational pathology using points-of-interest |
| WO2018176017A1 (en) * | 2017-03-24 | 2018-09-27 | Revealit Corporation | Method, system, and apparatus for identifying and revealing selected objects from video |
-
2018
- 2018-07-06 US US16/617,162 patent/US11227386B2/en active Active
- 2018-07-06 EP EP18748860.6A patent/EP3669227B8/en active Active
- 2018-07-06 JP JP2020508555A patent/JP7072049B2/ja active Active
- 2018-07-06 WO PCT/EP2018/068345 patent/WO2019034328A1/en not_active Ceased
- 2018-07-06 CN CN201880052840.9A patent/CN111051955B/zh active Active
-
2021
- 2021-12-06 US US17/457,716 patent/US11580640B2/en active Active
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2017516992A (ja) | 2014-05-23 | 2017-06-22 | ベンタナ メディカル システムズ, インコーポレイテッド | 画像内の生物学的構造及び/又はパターンの検出のためのシステム及び方法 |
Non-Patent Citations (3)
| Title |
|---|
| M Zeder, E Kohler, J Pernthaler,Automated quality assessment of autonomously acquired microscopic images of fluorescently stained bacteria,Cytometry. PART A,vol.77, no.1,2010年01月01日,p76-85 |
| Tomi Pitkaho, Aki Manninen, and Thomas J. Naughton,Performance of autofocus capability of deep convolutional neural networks in digital holographic microscopy,Digital Holography and Three-Dimensional Imaging 2017,W2A,Optical Society of America,2017年05月29日,W2A.5 |
| 河野曜平,川本一彦,GANを用いたデータ拡張,情報処理学会 研究報告 コンピュータビジョンとイメージメディア(CVIM) [online] ,日本,情報処理学会,2017年05月03日,2017-CVIM-207 ,p1-5 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111051955B (zh) | 2022-04-15 |
| JP2020531971A (ja) | 2020-11-05 |
| US11580640B2 (en) | 2023-02-14 |
| CN111051955A (zh) | 2020-04-21 |
| US20220092773A1 (en) | 2022-03-24 |
| EP3669227A1 (en) | 2020-06-24 |
| EP3669227B1 (en) | 2023-12-20 |
| US20200184637A1 (en) | 2020-06-11 |
| WO2019034328A1 (en) | 2019-02-21 |
| EP3669227C0 (en) | 2023-12-20 |
| US11227386B2 (en) | 2022-01-18 |
| EP3669227B8 (en) | 2024-02-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP7072049B2 (ja) | コンボリューショナル・ニューラルを用いた、ホログラフィック顕微鏡で取得した細胞画像の品質の識別方法 | |
| US12482280B2 (en) | Biological image transformation using machine-learning models | |
| US10614287B2 (en) | Virtual staining of cells in digital holographic microscopy images using general adversarial networks | |
| JP7439165B2 (ja) | 敵対的生成ネットワークを用いたホログラフィック顕微鏡画像中の細胞の仮想染色 | |
| JP2018119969A (ja) | 血液学用デジタルホログラフィ顕微鏡検査データ分析 | |
| Nguyen et al. | DRPnet: automated particle picking in cryo-electron micrographs using deep regression | |
| Luo et al. | A lightweight detector based on attention mechanism for fabric defect detection | |
| Molitor et al. | Towards high-performance deep learning models in tool wear classification with generative adversarial networks | |
| Trujillo et al. | Automatic detection and counting of phase objects in raw holograms of digital holographic microscopy via deep learning | |
| Feng et al. | Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy | |
| Chen et al. | Label-free live cell recognition and tracking for biological discoveries and translational applications | |
| Qamar et al. | Segmentation and characterization of macerated fibers and vessels using deep learning | |
| WO2013025173A1 (en) | A method and system for tracking motion of microscopic objects within a three-dimensional volume | |
| Xu et al. | A multi-view multi-label fast model for Auricularia cornea phenotype identification and classification | |
| Yi et al. | Extraction of target specimens from bioholographic images using interactive graph cuts | |
| Cao et al. | Mitigating Distribution Shifts in Pollen Classification from Microscopic Images Using Geometric Data Augmentations | |
| Warshaneyan et al. | Automated Pollen Recognition in Optical and Holographic Microscopy Images | |
| Kang et al. | Cancer Cell Classification Based on Morphological Features of 3D Phase Contrast Microscopy Using Deep Neural Network | |
| Rahman et al. | Detection of DeepFake Videos Using Computer Vision and Deep Learning | |
| Cayuela López | Desarrollo Y Aplicación de Métodos de Análisis de BioImágenes Para Microscopía Óptica Avanzada | |
| Hajiabadi | Assisting in the Reuse of Artificial Intelligence Approaches in Biological Image Processing | |
| Karnati et al. | Deep Learning Integrated Multiphoton Microscopy | |
| Arasappan Murugesan et al. | Development of Automated High‐Throughput Digital Microscopy With Deep Learning for Enhanced Blood Smear Imaging | |
| Yan et al. | Segmentation of Synapses in Fluorescent Images using U-Net++ and Gabor-based Anisotropic Diffusion | |
| Muyama et al. | from Sputum Smear Microscopic Images Using Transfer Learning Techniques |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20201116 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20201116 |
|
| A977 | Report on retrieval |
Free format text: JAPANESE INTERMEDIATE CODE: A971007 Effective date: 20211020 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20211102 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20220126 |
|
| RD02 | Notification of acceptance of power of attorney |
Free format text: JAPANESE INTERMEDIATE CODE: A7422 Effective date: 20220126 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20220412 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20220509 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7072049 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |
|
| R250 | Receipt of annual fees |
Free format text: JAPANESE INTERMEDIATE CODE: R250 |
|
| S111 | Request for change of ownership or part of ownership |
Free format text: JAPANESE INTERMEDIATE CODE: R313113 |
|
| R360 | Written notification for declining of transfer of rights |
Free format text: JAPANESE INTERMEDIATE CODE: R360 |
|
| R360 | Written notification for declining of transfer of rights |
Free format text: JAPANESE INTERMEDIATE CODE: R360 |
|
| R371 | Transfer withdrawn |
Free format text: JAPANESE INTERMEDIATE CODE: R371 |
|
| S111 | Request for change of ownership or part of ownership |
Free format text: JAPANESE INTERMEDIATE CODE: R313113 |
|
| R371 | Transfer withdrawn |
Free format text: JAPANESE INTERMEDIATE CODE: R371 |
|
| S111 | Request for change of ownership or part of ownership |
Free format text: JAPANESE INTERMEDIATE CODE: R313113 |
|
| R350 | Written notification of registration of transfer |
Free format text: JAPANESE INTERMEDIATE CODE: R350 |