JP2020531971A5 - - Google Patents

Download PDF

Info

Publication number
JP2020531971A5
JP2020531971A5 JP2020508555A JP2020508555A JP2020531971A5 JP 2020531971 A5 JP2020531971 A5 JP 2020531971A5 JP 2020508555 A JP2020508555 A JP 2020508555A JP 2020508555 A JP2020508555 A JP 2020508555A JP 2020531971 A5 JP2020531971 A5 JP 2020531971A5
Authority
JP
Japan
Prior art keywords
image
pixels
microscopic
images
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.)
Granted
Application number
JP2020508555A
Other languages
English (en)
Japanese (ja)
Other versions
JP2020531971A (ja
JP7072049B2 (ja
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/EP2018/068345 external-priority patent/WO2019034328A1/en
Publication of JP2020531971A publication Critical patent/JP2020531971A/ja
Publication of JP2020531971A5 publication Critical patent/JP2020531971A5/ja
Application granted granted Critical
Publication of JP7072049B2 publication Critical patent/JP7072049B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2020508555A 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 Active JP7072049B2 (ja)

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 true JP2020531971A5 (enExample) 2020-12-24
JP7072049B2 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)

* Cited by examiner, † Cited by third party
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

Family Cites Families (36)

* Cited by examiner, † Cited by third party
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
WO2015177268A1 (en) 2014-05-23 2015-11-26 Ventana Medical Systems, Inc. Systems and methods for detection of biological structures and/or patterns in images
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

Similar Documents

Publication Publication Date Title
JP2020531971A5 (enExample)
CN111051955B (zh) 通过使用卷积神经网络来标识利用数字全息显微镜所获取的细胞图像的品质
IL299819B1 (en) Learnable defect detection for semiconductor applications
CN109376696B (zh) 视频动作分类的方法、装置、计算机设备和存储介质
TWI715888B (zh) 車險影像處理方法、裝置、電腦可讀取儲存媒體和計算設備
JP2021521993A5 (enExample)
US20170364742A1 (en) Lip-reading recognition method and apparatus based on projection extreme learning machine
CN110580500A (zh) 一种面向人物交互的网络权重生成少样本图像分类方法
JP2018028899A5 (enExample)
JP2016502218A5 (enExample)
CN112528782A (zh) 水下鱼类目标检测方法及装置
US10595006B2 (en) Method, system and medium for improving the quality of 2D-to-3D automatic image conversion using machine learning techniques
JP2015197702A5 (enExample)
CN112200057A (zh) 人脸活体检测方法、装置、电子设备及存储介质
KR102313215B1 (ko) 특징 생성 기술을 이용한 머신러닝 기반 결함 분류 장치 및 방법
CN114445884B (zh) 训练多目标检测模型的方法、检测方法及相关装置
CN111428125A (zh) 排序方法、装置、电子设备及可读存储介质
JP2021166284A5 (enExample)
CN114863221A (zh) 检测模型的训练方法、装置、系统、设备及存储介质
CN106203428B (zh) 基于模糊估计融合的图像显著性检测方法
JP2017229067A5 (enExample)
KR20190078710A (ko) 이미지 분류 시스템 및 방법
CN115409718B (zh) 图像的盲增强方法及装置、电子设备、存储介质
CN110533107A (zh) 梯度增强型Softmax分类器、训练信号产生方法及其应用
CN115563203A (zh) 一种模型训练方法、系统及存储介质和终端设备