EP2845139A2 - Systeme und verfahren zur durchführung einer korrelationsanalyse klinischer ergebnisse und der eigenschaften von biologischem gewebe - Google Patents
Systeme und verfahren zur durchführung einer korrelationsanalyse klinischer ergebnisse und der eigenschaften von biologischem gewebeInfo
- Publication number
- EP2845139A2 EP2845139A2 EP13721622.2A EP13721622A EP2845139A2 EP 2845139 A2 EP2845139 A2 EP 2845139A2 EP 13721622 A EP13721622 A EP 13721622A EP 2845139 A2 EP2845139 A2 EP 2845139A2
- Authority
- EP
- European Patent Office
- Prior art keywords
- biological
- user interface
- view
- image
- biological tissue
- 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.)
- Withdrawn
Links
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B45/00—ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
-
- 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
Definitions
- exemplary embodiments may access data corresponding to multiple biological tissue samples corresponding to a patient cohort including the first patient and one or more other patients with breast cancer. Exemplary embodiments may retrieve data for the cohort corresponding to one or more features
- the computer processor is also programmed to, in response to user input selecting a first biomarker and a first field of view corresponding to a biological tissue at the field of view selection component, render, on the graphical user interface, a first image of the selected first field of view corresponding to the biological tissue, the first image representing expression levels of the selected first biomarker and including representations of one or more biological units in the biological tissue.
- a file structure browser 306 may be displayed to allow the user to view a file structure in which data files are organized.
- the file structure browser 306 may allow the user to select one or more topmost level directories that include all of the image and/or text data corresponding to a study.
- a default data source may be automatically selected if the user fails to make a selection.
- the user interface may render in an overlaid manner the first image of the selected field-of-view of biological tissue in which expression levels of the first biomarker are automatically represented as one or more intensities of the first color, and a second image of the selected field-of-view corresponding to the biological tissue in which the expression levels of the second biomarker are automatically represented as one or more intensities of the second color.
- Exemplary embodiments may display expression of one or more DNA sequences and one or more protein biomarkers in an overlaid manner in the same display panel.
- the expression and non-expression of DNA sequences on a cell-by-cell basis may be determined based on fluorescence in situ hybridization (FISH).
- FISH is a technique used to detect and localize the presence or absence of specific DNA sequences on chromosomes.
- FISH is used in a similar manner as used for multiplexing to detect the hybridization of DNA probes at the cellular level.
- the probes may look like tiny bright dots on a dark background, with each dot representing a probe on one copy of the gene. The brighter a spot, the more likely it is that the dot represents overlapping copies of the gene.
- the morphological representation 1910 may facilitate identifying one or more biomarkers that are effective for isolating a target morphologically-related population of particles.
- the user interface may receive, at the field-of-view selection component, user input selecting a field-of-view of biological tissue.
- the user interface may also receive user input selection one or more biomarkers whose expression levels are to be displayed in the selected field-of-view of the biological tissue.
- the user interface may receive, at the clinical outcome selection component, user input selecting a clinical outcome, for example, positive diagnosis of a disease or tissue condition, negative diagnosis of a disease or tissue condition, a disease prognosis, a prediction of drug response, stratification into a clinically-relevant group, and the like.
- a clinical outcome for example, positive diagnosis of a disease or tissue condition, negative diagnosis of a disease or tissue condition, a disease prognosis, a prediction of drug response, stratification into a clinically-relevant group, and the like.
- the selection of the aspects of the field-of- view may be automatically expanded using a supervised learning method or algorithm encoded on one or more non-transitory computer-readable media and implemented as computer- executable instructions.
- the supervised leaming method may expand the selection of the aspects of the field-of-view by including one or more additional aspects in the same data cohort having one or more similar features. For example, if the user selects one or more biological units, exemplary embodiments may expand the selection with one or more additional biological units in the cohort having one or more similar features as in the user-selected biological units.
- the quality review selection component 2504 may include a "Next Marker" tool 2514 to allow a user to replace the first image displayed in the display panel 502 with a different image of the same field-of-view of biological tissue obtained by treating the biological tissue with a different biomarker than the biomarker used to obtain the first image.
- the user interface may render a second, different image of the selected field-of-view of biological tissue, while continuing to render the representation of the result of the selected morphological analysis such that the second image is overlaid by the representation of the result of the morphological analysis.
- the second image may replace the first image on the user interface.
- the second image result may be overlaid on the first image on the user interface.
- Figure 30 is a flowchart illustrating an exemplary computer-implemented method performed in exemplary embodiments to allow a user to perform quality review of results of an image analysis method.
- the class may manage one or more file streams used to read files and/or images in the database, memory allocated to store temporary data and/or variables during the data access operations, and the like.
- Exemplary inputs to the class may include, but are not limited to, a class derived from the PathData interface class, information on specific images to be read, and the like.
- the "PathlmageData" class may query the data structures generated by the "PathData” class to selectively retrieve the data specified in the input.
- the attributes may include, but are not limited to, a unique identifier for the cell, a sample identifier identifying a sample, test, slide, and/or spot in which the cell was identified, a tissue identifier identifying a tissue that the cell is part of, and the like.
- the attributes may also include, but are not limited to, one or more types corresponding to the cell (e.g., a structural type like red blood cell, a morphological type like oversized, a diagnostic type like diseased, and the like), a size of the cell, the boundaries of the cell (e.g., the boundaries of the cell on an image of biological tissue), a location of the cell (e.g., a location of the cell on an image of biological tissue), and the like.
- the attributes may also include, but are not limited to, one or more expression levels associated with the cell (e.g., expression levels of one or more biomarkers, expression of one or more DNA sequences), and the like.
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Multimedia (AREA)
- General Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Biophysics (AREA)
- Biotechnology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Proteomics, Peptides & Aminoacids (AREA)
- Genetics & Genomics (AREA)
- Analytical Chemistry (AREA)
- Chemical & Material Sciences (AREA)
- Biomedical Technology (AREA)
- Public Health (AREA)
- Radiology & Medical Imaging (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Data Mining & Analysis (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Apparatus Associated With Microorganisms And Enzymes (AREA)
- User Interface Of Digital Computer (AREA)
- Processing Or Creating Images (AREA)
- Image Processing (AREA)
Applications Claiming Priority (6)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/460,081 US9036888B2 (en) | 2012-04-30 | 2012-04-30 | Systems and methods for performing quality review scoring of biomarkers and image analysis methods for biological tissue |
US13/460,018 US20130286043A1 (en) | 2012-04-30 | 2012-04-30 | Systems and methods for analyzing biomarker co-localization in a biological tissue |
US13/459,999 US8737709B2 (en) | 2012-04-30 | 2012-04-30 | Systems and methods for performing correlation analysis on clinical outcome and characteristics of biological tissue |
US13/459,958 US20130286038A1 (en) | 2012-04-30 | 2012-04-30 | Systems and methods for selection and display of multiplexed images of biological tissue |
US13/460,100 US20150032671A9 (en) | 2010-07-23 | 2012-04-30 | Systems and methods for selecting and analyzing particles in a biological tissue |
PCT/EP2013/058790 WO2013164281A2 (en) | 2012-04-30 | 2013-04-26 | Systems and methods for performing correlation analysis on clinical outcome and characteristics of biological tissue |
Publications (1)
Publication Number | Publication Date |
---|---|
EP2845139A2 true EP2845139A2 (de) | 2015-03-11 |
Family
ID=48190980
Family Applications (3)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP13721622.2A Withdrawn EP2845139A2 (de) | 2012-04-30 | 2013-04-26 | Systeme und verfahren zur durchführung einer korrelationsanalyse klinischer ergebnisse und der eigenschaften von biologischem gewebe |
EP13719105.2A Withdrawn EP2845138A1 (de) | 2012-04-30 | 2013-04-26 | Systeme und verfahren zur analyse der biomarker co-lokalisierung in einem biologischen gewebe |
EP13719104.5A Active EP2845137B1 (de) | 2012-04-30 | 2013-04-26 | Systeme und verfahren zur qualitätsprüfungswertung von biomarkern und bildanalyseverfahren für biologisches gewebe |
Family Applications After (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP13719105.2A Withdrawn EP2845138A1 (de) | 2012-04-30 | 2013-04-26 | Systeme und verfahren zur analyse der biomarker co-lokalisierung in einem biologischen gewebe |
EP13719104.5A Active EP2845137B1 (de) | 2012-04-30 | 2013-04-26 | Systeme und verfahren zur qualitätsprüfungswertung von biomarkern und bildanalyseverfahren für biologisches gewebe |
Country Status (4)
Country | Link |
---|---|
EP (3) | EP2845139A2 (de) |
JP (2) | JP6187989B2 (de) |
AU (1) | AU2013255961B2 (de) |
WO (5) | WO2013164280A1 (de) |
Families Citing this family (11)
Publication number | Priority date | Publication date | Assignee | Title |
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JP5953195B2 (ja) * | 2012-09-21 | 2016-07-20 | 株式会社キーエンス | 撮影解析装置、その制御方法及び撮影解析装置用のプログラム |
EP2929453B1 (de) * | 2012-12-06 | 2020-04-08 | Global Life Sciences Solutions USA LLC | Auswahl und anzeige von biomarkerexpressionen |
US20170183648A1 (en) * | 2015-08-12 | 2017-06-29 | Quick Biology, Inc. | Method, kit and array for functional validation of results derived from high throughput studies |
JP7026625B2 (ja) * | 2015-11-04 | 2022-02-28 | メタボロン,インコーポレイテッド | サンプルの質の自動評価 |
EP3697925A4 (de) * | 2017-10-18 | 2021-06-23 | Venn Biosciences Corporation | Identifizierung und verwendung biologischer parameter für diagnose und therapieüberwachung |
AU2021213741A1 (en) * | 2020-01-28 | 2022-09-08 | Paige. Ai, Inc. | Systems and methods for delivery of digital biomarkers and genomic panels |
US11475251B2 (en) | 2020-01-31 | 2022-10-18 | The Toronto-Dominion Bank | System and method for validating data |
JP2021124861A (ja) * | 2020-02-04 | 2021-08-30 | ソニーグループ株式会社 | 解析装置、解析方法、解析プログラム及び診断支援システム |
JP2022123488A (ja) | 2021-02-12 | 2022-08-24 | 株式会社Screenホールディングス | 閾値決定方法 |
US11783083B2 (en) | 2021-03-19 | 2023-10-10 | International Business Machines Corporation | Computing trade-offs between privacy and accuracy of data analysis |
WO2024090265A1 (ja) * | 2022-10-28 | 2024-05-02 | 株式会社biomy | 情報処理装置、情報処理方法及びプログラム |
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JPH1198372A (ja) * | 1997-09-18 | 1999-04-09 | Olympus Optical Co Ltd | 色調整方法 |
US6642716B1 (en) * | 2002-05-15 | 2003-11-04 | Koninklijke Philips Electronics, N.V. | Diffusion tensor magnetic resonance imaging including fiber rendering using hyperstreamlines |
EP1616286A1 (de) * | 2003-04-02 | 2006-01-18 | Amersham Biosciences UK Limited | Verfahren und computersoftware zur klassifikation von zellen zu subpopulationen |
US20060031187A1 (en) * | 2004-08-04 | 2006-02-09 | Advizor Solutions, Inc. | Systems and methods for enterprise-wide visualization of multi-dimensional data |
KR20070068401A (ko) * | 2004-09-22 | 2007-06-29 | 트리패스 이미징, 인코포레이티드 | 암의 예후에 대한 마커 후보의 분석 및 최적화를 위한 방법및 컴퓨터 프로그램 제품 |
WO2006132313A1 (ja) * | 2005-06-09 | 2006-12-14 | Hitachi Medical Corporation | 疾患判定支援システム |
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JP5864559B2 (ja) * | 2010-06-04 | 2016-02-17 | ライカ バイオシステムズ イメージング インコーポレイテッドAperio Technologies, Inc. | デジタル化された顕微鏡スライドのスライド品質を判断するシステム及び方法 |
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US9740912B2 (en) * | 2011-12-20 | 2017-08-22 | Definiens Ag | Evaluation of co-registered images of differently stained tissue slices |
-
2013
- 2013-04-26 EP EP13721622.2A patent/EP2845139A2/de not_active Withdrawn
- 2013-04-26 AU AU2013255961A patent/AU2013255961B2/en active Active
- 2013-04-26 JP JP2015509389A patent/JP6187989B2/ja active Active
- 2013-04-26 EP EP13719105.2A patent/EP2845138A1/de not_active Withdrawn
- 2013-04-26 WO PCT/EP2013/058789 patent/WO2013164280A1/en active Application Filing
- 2013-04-26 JP JP2015509388A patent/JP6317732B2/ja active Active
- 2013-04-26 WO PCT/EP2013/058790 patent/WO2013164281A2/en active Application Filing
- 2013-04-26 WO PCT/EP2013/058785 patent/WO2013164278A1/en active Application Filing
- 2013-04-26 EP EP13719104.5A patent/EP2845137B1/de active Active
- 2013-04-26 WO PCT/EP2013/058784 patent/WO2013164277A2/en active Application Filing
- 2013-04-26 WO PCT/EP2013/058786 patent/WO2013164279A1/en active Application Filing
Non-Patent Citations (2)
Title |
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None * |
See also references of WO2013164281A2 * |
Also Published As
Publication number | Publication date |
---|---|
WO2013164277A3 (en) | 2013-12-27 |
WO2013164281A2 (en) | 2013-11-07 |
WO2013164281A3 (en) | 2013-12-27 |
AU2013255961B2 (en) | 2017-12-07 |
EP2845138A1 (de) | 2015-03-11 |
JP2015527622A (ja) | 2015-09-17 |
WO2013164278A1 (en) | 2013-11-07 |
EP2845137B1 (de) | 2021-01-20 |
AU2013255961A1 (en) | 2014-10-23 |
JP6187989B2 (ja) | 2017-08-30 |
JP6317732B2 (ja) | 2018-04-25 |
WO2013164279A1 (en) | 2013-11-07 |
WO2013164280A1 (en) | 2013-11-07 |
JP2015526771A (ja) | 2015-09-10 |
EP2845137A1 (de) | 2015-03-11 |
WO2013164277A2 (en) | 2013-11-07 |
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