IL295881B1 - Determining tissue characteristics using multiplex immunofluorescence imaging - Google Patents

Determining tissue characteristics using multiplex immunofluorescence imaging

Info

Publication number
IL295881B1
IL295881B1 IL295881A IL29588122A IL295881B1 IL 295881 B1 IL295881 B1 IL 295881B1 IL 295881 A IL295881 A IL 295881A IL 29588122 A IL29588122 A IL 29588122A IL 295881 B1 IL295881 B1 IL 295881B1
Authority
IL
Israel
Prior art keywords
cell
cells
image
images
mxif
Prior art date
Application number
IL295881A
Other languages
English (en)
Hebrew (he)
Other versions
IL295881A (en
Original Assignee
Bostongene Corp
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 Bostongene Corp filed Critical Bostongene Corp
Publication of IL295881A publication Critical patent/IL295881A/en
Publication of IL295881B1 publication Critical patent/IL295881B1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/22Matching criteria, e.g. proximity measures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/23Clustering techniques
    • G06F18/232Non-hierarchical techniques
    • G06F18/2323Non-hierarchical techniques based on graph theory, e.g. minimum spanning trees [MST] or graph cuts
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2431Multiple classes
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/174Segmentation; Edge detection involving the use of two or more images
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/194Segmentation; Edge detection involving foreground-background segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/762Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/7635Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks based on graphs, e.g. graph cuts or spectral clustering
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/695Preprocessing, e.g. image segmentation
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/60Type of objects
    • G06V20/69Microscopic objects, e.g. biological cells or cellular parts
    • G06V20/698Matching; Classification
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10056Microscopic image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10064Fluorescence image
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30024Cell structures in vitro; Tissue sections in vitro

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Biomedical Technology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Discrete Mathematics (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Image Analysis (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
  • Image Processing (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
IL295881A 2020-03-06 2021-03-06 Determining tissue characteristics using multiplex immunofluorescence imaging IL295881B1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202062986010P 2020-03-06 2020-03-06
PCT/US2021/021265 WO2021178938A1 (en) 2020-03-06 2021-03-06 Determining tissue characteristics using multiplexed immunofluorescence imaging

Publications (2)

Publication Number Publication Date
IL295881A IL295881A (en) 2022-10-01
IL295881B1 true IL295881B1 (en) 2026-01-01

Family

ID=75340246

Family Applications (1)

Application Number Title Priority Date Filing Date
IL295881A IL295881B1 (en) 2020-03-06 2021-03-06 Determining tissue characteristics using multiplex immunofluorescence imaging

Country Status (7)

Country Link
US (3) US11250568B2 (https=)
EP (1) EP4115324A1 (https=)
JP (2) JP7592737B2 (https=)
AU (2) AU2021231904B2 (https=)
CA (1) CA3172827A1 (https=)
IL (1) IL295881B1 (https=)
WO (1) WO2021178938A1 (https=)

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
JP7071037B2 (ja) * 2020-04-28 2022-05-18 ゼネラル・エレクトリック・カンパニイ 推論装置、医用システム、およびプログラム
CN113628157A (zh) * 2020-05-06 2021-11-09 德克萨斯大学体系董事会 利用病理图像来表征肿瘤微环境的系统和方法
WO2022079919A1 (ja) * 2020-10-16 2022-04-21 富士通株式会社 検知プログラム、検知方法および検知装置
EP4238052A1 (en) * 2020-10-27 2023-09-06 Ventana Medical Systems, Inc. Identifying auto-fluorescent artifacts in a multiplexed immunofluorescent image
WO2022173828A1 (en) * 2021-02-09 2022-08-18 The Board Of Trustees Of The Leland Stanford Junior University Identification of cell types in multiplexed in situ images by combining expression profiling and spatial information
US11636663B2 (en) * 2021-02-19 2023-04-25 Microsoft Technology Licensing, Llc Localizing relevant objects in multi-object images
EP4334838A1 (en) * 2021-05-07 2024-03-13 X-Zell Biotech Pte Ltd Systems and methods for identifying and classifying rare cells
WO2022251556A1 (en) * 2021-05-27 2022-12-01 Genentech, Inc. Tumor immunophenotyping based on spatial distribution analysis
DE102021126965A1 (de) * 2021-10-18 2023-05-04 Mira Vision Holding Gmbh Computer-implementiertes Verfahren zur Erzeugung synthetischer Bilder zum Trainieren künstlicher Intelligenz (AI)
US12056857B2 (en) * 2021-11-05 2024-08-06 Adobe Inc. Digital image inpainting utilizing plane panoptic segmentation and plane grouping
CN114399470B (zh) * 2021-12-21 2024-12-20 北京大学 超高时空分辨率细胞牵引力定量方法、装置、设备及介质
CN114240907B (zh) * 2021-12-21 2025-05-23 上海元芒数字科技有限公司 一种基于电子秤的商品展示图自动生成的算法
CN115170599B (zh) * 2022-05-25 2026-03-03 北京大学 通过图神经网络的链路预测进行血管分割的方法和装置
CN117237980B (zh) * 2022-06-06 2025-09-19 上海思路迪生物医学科技有限公司 多重荧光免疫组化图像识别方法及相关装置
CN115019142B (zh) * 2022-06-14 2024-03-29 辽宁工业大学 基于融合特征的图像标题生成方法、系统、电子设备
JP2024017211A (ja) * 2022-07-27 2024-02-08 セイコーエプソン株式会社 画像処理シーケンスの生成方法、生成装置、および、コンピュータープログラム
EP4616365A1 (en) * 2022-11-10 2025-09-17 Nucleai Ltd. System and method for multiplex imaging cell typing and phenotypic marker quantification
WO2025093815A1 (en) * 2023-10-30 2025-05-08 Helsingin Yliopisto Method for an image analysis pipeline
WO2025096811A1 (en) 2023-10-31 2025-05-08 Bostongene Corporation Machine learning technique for identifying ici responders and non-responders
US20250266163A1 (en) * 2024-02-20 2025-08-21 Siemens Healthineers Ag Vulnerable plaque assessment and outcome prediction in coronary artery disease
WO2025198590A1 (en) * 2024-03-20 2025-09-25 Hitachi America, Ltd. Set prediction for visual inspection

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
WO2019110567A1 (en) * 2017-12-05 2019-06-13 Ventana Medical Systems, Inc. Method of computing tumor spatial and inter-marker heterogeneity

Family Cites Families (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101916359B (zh) * 2005-01-27 2012-06-20 剑桥研究和仪器设备股份有限公司 把样本的不同区域分类到相应类别的方法和设备
US9779213B2 (en) * 2008-07-25 2017-10-03 Fundacao D. Anna Sommer Champalimaud E Dr. Carlos Montez Champalimaud System for evaluating a pathological stage of prostate cancer
US8320655B2 (en) * 2009-10-16 2012-11-27 General Electric Company Process and system for analyzing the expression of biomarkers in cells
US20110091081A1 (en) 2009-10-16 2011-04-21 General Electric Company Method and system for analyzing the expression of biomarkers in cells in situ in their tissue of origin
US20120010528A1 (en) * 2010-04-26 2012-01-12 Aureon Biosciences, Inc. Systems and methods for predicting disease progression in patients treated with radiotherapy
JP5870821B2 (ja) 2012-04-03 2016-03-01 国立研究開発法人理化学研究所 多重蛍光画像の画像解析のための装置、システム、方法、およびプログラム
AU2014217893A1 (en) 2013-02-18 2015-07-30 Theranos Ip Company, Llc Systems and methods for multi-analysis
CN105209636A (zh) * 2013-03-15 2015-12-30 麦塔马克基因股份有限公司 用于癌症预后的组合物和方法
US9064304B2 (en) * 2013-03-18 2015-06-23 General Electric Company Image quality assessment of microscopy images
CN107209934B (zh) 2014-12-03 2021-03-30 文塔纳医疗系统公司 用于定量分析异质生物标志物分布的方法、系统和装置
AU2015373423A1 (en) 2014-12-30 2017-05-18 Ventana Medical Systems, Inc. Systems and methods for co-expression analysis in immunoscore computation
US9984199B2 (en) * 2015-05-21 2018-05-29 Ge Healthcare Bio-Sciences Corp. Method and system for classification and quantitative analysis of cell types in microscopy images
US9607375B2 (en) * 2015-06-03 2017-03-28 Eileen B. Gallagher Biological data annotation and visualization
WO2016201186A1 (en) 2015-06-11 2016-12-15 University Of Pittsburgh-Of The Commonwealth System Of Higher Education Systems and methods for finding regions of interest in hematoxylin and eosin (h&e) stained tissue images and quantifying intratumor cellular spatial heterogeneity in multiplexed/hyperplexed fluorescence tissue images
AU2016341306B2 (en) 2015-10-23 2022-10-27 Novartis Ag Computer processes behind an enhanced version of aqua
EP3664705A4 (en) 2017-08-09 2021-09-29 Allen Institute IMAGE PROCESSING SYSTEMS, DEVICES AND METHODS FOR GENERATING AN IMAGE WITH PREDICTIVE MARKING
US11307142B2 (en) 2018-05-03 2022-04-19 Akoya Biosciences, Inc. Multispectral sample imaging
EP3591574A3 (en) 2018-07-06 2020-01-15 Universität Zürich Method and computer program for clustering large multiplexed spatially resolved data of a biological sample
US11756203B2 (en) * 2018-09-21 2023-09-12 The Johns Hopkins University Characterization platform for scalable, spatially-resolved multispectral analysis of tissue
CN110060245A (zh) * 2019-04-15 2019-07-26 青岛大学 一种基于深度神经网络的胃癌淋巴结染色病理图像自动识别方法
US12019674B2 (en) * 2019-05-29 2024-06-25 New York University System and method for tumor characterization
US12094105B2 (en) * 2019-06-10 2024-09-17 Datma, Inc. System and method for automatic labeling of pathology images
KR20220019778A (ko) 2019-06-12 2022-02-17 퀀텀-에스아이 인코포레이티드 머신 학습을 이용한 단백질 식별을 위한 기법들 및 관련된 시스템들 및 방법들
US20200394459A1 (en) * 2019-06-17 2020-12-17 Nvidia Corporation Cell image synthesis using one or more neural networks
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

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
WO2019110567A1 (en) * 2017-12-05 2019-06-13 Ventana Medical Systems, Inc. Method of computing tumor spatial and inter-marker heterogeneity

Also Published As

Publication number Publication date
AU2021231904A1 (en) 2022-09-22
US20240161284A1 (en) 2024-05-16
US11250568B2 (en) 2022-02-15
JP2023517309A (ja) 2023-04-25
JP7824383B2 (ja) 2026-03-04
CA3172827A1 (en) 2021-09-10
JP7592737B2 (ja) 2024-12-02
EP4115324A1 (en) 2023-01-11
US20210279866A1 (en) 2021-09-09
IL295881A (en) 2022-10-01
US11915422B2 (en) 2024-02-27
AU2025201658A1 (en) 2025-03-27
AU2021231904B2 (en) 2025-04-10
US20220122252A1 (en) 2022-04-21
WO2021178938A1 (en) 2021-09-10
JP2025037907A (ja) 2025-03-18

Similar Documents

Publication Publication Date Title
AU2021231904B2 (en) Determining tissue characteristics using multiplexed immunofluorescence imaging
JP7583041B2 (ja) 組織画像分類用のマルチインスタンス学習器
US20240054639A1 (en) Quantification of conditions on biomedical images across staining modalities using a multi-task deep learning framework
AU2021349226C1 (en) Critical component detection using deep learning and attention
US9111179B2 (en) High-throughput biomarker segmentation utilizing hierarchical normalized cuts
WO2022064222A1 (en) A method of processing an image of tissue and a system for processing an image of tissue
Eldho et al. Lung cancer detection and severity analysis with a 3D deep learning CNN Model using CT-DICOM clinical dataset
CN120259303B (zh) 一种生物微环境图像分析与分类方法
CN115578560A (zh) 基于深度学习的ihc膜浆表达病理图像的癌区分割方法
Bull et al. Extended correlation functions for spatial analysis of multiplex imaging data
Hussein et al. Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework
Chen et al. An interpretable Algorithm for uveal melanoma subtyping from whole slide cytology images
Davidson et al. Grey level texture features for segmentation of chromogenic dye rnascope from breast cancer tissue
Meloni AI-driven morphological clustering for lymphoma stratification
Gortana et al. HEDeST: An Integrative Approach to Enhance Spatial Transcriptomic Deconvolution with Histology
Dovbysh et al. Decision Support System for Diagnosing Early Stages of Prostate Cancer Based on Pathomorphological Features
Mohammed et al. Robust analysis of the tumor spectrum in a preclinical model of breast cancer reveals stable subtypes with distinct growth patterns
Kantha Multimodal Fusion of Imaging and Genomic Data for Enhanced Breast Cancer Detection
Zhou IfThresholds Software Package: score ranking standard threshold methods by comparing images produced by thresholding with manually labeled images
HK40071857A (en) Multiple instance learner for tissue image classification
HK40051109A (en) Multiple instance learner for prognostic tissue pattern identification
Kothari Developing Image Informatics Methods for Histopathological Computer-Aided Decision Support Systems