CognitionMaster: an object-based image analysis framework View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Stephan Wienert, Daniel Heim, Manato Kotani, Björn Lindequist, Albrecht Stenzinger, Masaru Ishii, Peter Hufnagl, Michael Beil, Manfred Dietel, Carsten Denkert, Frederick Klauschen

ABSTRACT

BACKGROUND: Automated image analysis methods are becoming more and more important to extract and quantify image features in microscopy-based biomedical studies and several commercial or open-source tools are available. However, most of the approaches rely on pixel-wise operations, a concept that has limitations when high-level object features and relationships between objects are studied and if user-interactivity on the object-level is desired. RESULTS: In this paper we present an open-source software that facilitates the analysis of content features and object relationships by using objects as basic processing unit instead of individual pixels. Our approach enables also users without programming knowledge to compose "analysis pipelines" that exploit the object-level approach. We demonstrate the design and use of example pipelines for the immunohistochemistry-based cell proliferation quantification in breast cancer and two-photon fluorescence microscopy data about bone-osteoclast interaction, which underline the advantages of the object-based concept. CONCLUSIONS: We introduce an open source software system that offers object-based image analysis. The object-based concept allows for a straight-forward development of object-related interactive or fully automated image analysis solutions. The presented software may therefore serve as a basis for various applications in the field of digital image analysis. More... »

PAGES

34

References to SciGraph publications

  • 2002-01. New technologies for automated cell counting based on optical image analysis `The Cellscreen' in CYTOTECHNOLOGY
  • 2011-12. Distributed computing in image analysis using open source frameworks and application to image sharpness assessment of histological whole slide images in DIAGNOSTIC PATHOLOGY
  • 2008-12. CellProfiler Analyst: data exploration and analysis software for complex image-based screens in BMC BIOINFORMATICS
  • 2011-12. Interactive and automated application of virtual microscopy in DIAGNOSTIC PATHOLOGY
  • 2010-06. Cancer-associated IDH1 mutations produce 2-hydroxyglutarate in NATURE
  • 2012-07. NIH Image to ImageJ: 25 years of image analysis in NATURE METHODS
  • 2011-12. Learning regions of interest from low level maps in virtual microscopy in DIAGNOSTIC PATHOLOGY
  • 2012-07. Fiji: an open-source platform for biological-image analysis in NATURE METHODS
  • 2010-06. Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis in NATURE
  • 2009-09. Quantifying cellular interaction dynamics in 3D fluorescence microscopy data in NATURE PROTOCOLS
  • 2011-12. A supervised visual model for finding regions of interest in basal cell carcinoma images in DIAGNOSTIC PATHOLOGY
  • 2009-03-26. Sphingosine-1-phosphate mobilizes osteoclast precursors and regulates bone homeostasis in NATURE
  • 1989-06. Ki67 immunostaining in primary breast cancer: pathological and clinical associations in BRITISH JOURNAL OF CANCER
  • 2011-12. How to measure diagnosis-associated information in virtual slides in DIAGNOSTIC PATHOLOGY
  • 2012-07. Icy: an open bioimage informatics platform for extended reproducible research in NATURE METHODS
  • 2012-12. Detection and Segmentation of Cell Nuclei in Virtual Microscopy Images: A Minimum-Model Approach in SCIENTIFIC REPORTS
  • 2009-08. A Fast Robust Algorithm for Computing Discrete Voronoi Diagrams in JOURNAL OF MATHEMATICAL MODELLING AND ALGORITHMS
  • 2013-04. Prognostic value of histamine H1 receptor expression in oral squamous cell carcinoma in CLINICAL ORAL INVESTIGATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1746-1596-8-34

    DOI

    http://dx.doi.org/10.1186/1746-1596-8-34

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1051571304

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23445542


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Artificial Intelligence and Image Processing", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Information and Computing Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Algorithms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Automation, Laboratory", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bone and Bones", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Breast Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Communication", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cell Proliferation", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Image Interpretation, Computer-Assisted", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Immunohistochemistry", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ki-67 Antigen", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Microscopy, Fluorescence, Multiphoton", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Osteoclasts", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Predictive Value of Tests", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Software", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Charit\u00e9", 
              "id": "https://www.grid.ac/institutes/grid.6363.0", 
              "name": [
                "Institute of Pathology, Charit\u00e9 University Hospital Berlin, Charit\u00e9platz 1, 10117, Berlin, Germany", 
                "VMscope GmbH, Charit\u00e9platz 1, 10117, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wienert", 
            "givenName": "Stephan", 
            "id": "sg:person.0712020036.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712020036.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "VMscope GmbH, Charit\u00e9platz 1, 10117, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Heim", 
            "givenName": "Daniel", 
            "id": "sg:person.01030103733.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030103733.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Japan Science and Technology Agency", 
              "id": "https://www.grid.ac/institutes/grid.419082.6", 
              "name": [
                "Laboratory of Cellular Dynamics, WPI-IFReC, Osaka University, 3-1 Yamada-oka, 5650871, Suita, Osaka, Japan", 
                "CREST, Japan Science and Technology Agency (JST), 5 SanbanchoChiyoda-ku, 1020075, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kotani", 
            "givenName": "Manato", 
            "id": "sg:person.01365452125.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365452125.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "HTW Berlin - University of Applied Sciences", 
              "id": "https://www.grid.ac/institutes/grid.410722.2", 
              "name": [
                "University of Applied Sciences Berlin, Wilhelminenhofstra\u00dfe 75A, 12459, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lindequist", 
            "givenName": "Bj\u00f6rn", 
            "id": "sg:person.01074361636.27", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074361636.27"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 220/221, 69120, Heidelberg, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Stenzinger", 
            "givenName": "Albrecht", 
            "id": "sg:person.0642700650.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642700650.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Japan Science and Technology Agency", 
              "id": "https://www.grid.ac/institutes/grid.419082.6", 
              "name": [
                "Laboratory of Cellular Dynamics, WPI-IFReC, Osaka University, 3-1 Yamada-oka, 5650871, Suita, Osaka, Japan", 
                "CREST, Japan Science and Technology Agency (JST), 5 SanbanchoChiyoda-ku, 1020075, Tokyo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ishii", 
            "givenName": "Masaru", 
            "id": "sg:person.01057022421.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057022421.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "HTW Berlin - University of Applied Sciences", 
              "id": "https://www.grid.ac/institutes/grid.410722.2", 
              "name": [
                "Institute of Pathology, Charit\u00e9 University Hospital Berlin, Charit\u00e9platz 1, 10117, Berlin, Germany", 
                "University of Applied Sciences Berlin, Wilhelminenhofstra\u00dfe 75A, 12459, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hufnagl", 
            "givenName": "Peter", 
            "id": "sg:person.0722377141.03", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722377141.03"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "University of Ulm", 
              "id": "https://www.grid.ac/institutes/grid.6582.9", 
              "name": [
                "Department of Medicine I, University of Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Beil", 
            "givenName": "Michael", 
            "id": "sg:person.0724644717.56", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724644717.56"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Charit\u00e9", 
              "id": "https://www.grid.ac/institutes/grid.6363.0", 
              "name": [
                "Institute of Pathology, Charit\u00e9 University Hospital Berlin, Charit\u00e9platz 1, 10117, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dietel", 
            "givenName": "Manfred", 
            "id": "sg:person.01340546577.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340546577.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Charit\u00e9", 
              "id": "https://www.grid.ac/institutes/grid.6363.0", 
              "name": [
                "Institute of Pathology, Charit\u00e9 University Hospital Berlin, Charit\u00e9platz 1, 10117, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Denkert", 
            "givenName": "Carsten", 
            "id": "sg:person.01052576706.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052576706.33"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Charit\u00e9", 
              "id": "https://www.grid.ac/institutes/grid.6363.0", 
              "name": [
                "Institute of Pathology, Charit\u00e9 University Hospital Berlin, Charit\u00e9platz 1, 10117, Berlin, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Klauschen", 
            "givenName": "Frederick", 
            "id": "sg:person.01243560127.35", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243560127.35"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1186/1746-1596-6-s1-s9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007787125", 
              "https://doi.org/10.1186/1746-1596-6-s1-s9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013195114", 
              "https://doi.org/10.1038/nature09193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09193", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013195114", 
              "https://doi.org/10.1038/nature09193"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00784-012-0784-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013452813", 
              "https://doi.org/10.1007/s00784-012-0784-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-1596-6-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016905992", 
              "https://doi.org/10.1186/1746-1596-6-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-1596-6-26", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016905992", 
              "https://doi.org/10.1186/1746-1596-6-26"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/srep00503", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017479487", 
              "https://doi.org/10.1038/srep00503"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature07713", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025220281", 
              "https://doi.org/10.1038/nature07713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026706357", 
              "https://doi.org/10.1038/nmeth.2019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2105-9-482", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027099973", 
              "https://doi.org/10.1186/1471-2105-9-482"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0320(19990301)35:3<203::aid-cyto3>3.0.co;2-k", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030879311"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-1596-6-s1-s10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032541672", 
              "https://doi.org/10.1186/1746-1596-6-s1-s10"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2089", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035817137", 
              "https://doi.org/10.1038/nmeth.2089"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/ar.1092400216", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039498225"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jag.2005.06.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039908676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bjc.1989.200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040502985", 
              "https://doi.org/10.1038/bjc.1989.200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/bjc.1989.200", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040502985", 
              "https://doi.org/10.1038/bjc.1989.200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-1596-6-s1-s22", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041666076", 
              "https://doi.org/10.1186/1746-1596-6-s1-s22"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1746-1596-6-s1-s16", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043450304", 
              "https://doi.org/10.1186/1746-1596-6-s1-s16"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2009.129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044175383", 
              "https://doi.org/10.1038/nprot.2009.129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nprot.2009.129", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044175383", 
              "https://doi.org/10.1038/nprot.2009.129"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09132", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045149705", 
              "https://doi.org/10.1038/nature09132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature09132", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045149705", 
              "https://doi.org/10.1038/nature09132"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nmeth.2075", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045173751", 
              "https://doi.org/10.1038/nmeth.2075"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10852-008-9097-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047110561", 
              "https://doi.org/10.1007/s10852-008-9097-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.a.20289", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047984414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/a:1021118501866", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049192571", 
              "https://doi.org/10.1023/a:1021118501866"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074873071", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076945049", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078292187", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082373247", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-12", 
        "datePublishedReg": "2013-12-01", 
        "description": "BACKGROUND: Automated image analysis methods are becoming more and more important to extract and quantify image features in microscopy-based biomedical studies and several commercial or open-source tools are available. However, most of the approaches rely on pixel-wise operations, a concept that has limitations when high-level object features and relationships between objects are studied and if user-interactivity on the object-level is desired.\nRESULTS: In this paper we present an open-source software that facilitates the analysis of content features and object relationships by using objects as basic processing unit instead of individual pixels. Our approach enables also users without programming knowledge to compose \"analysis pipelines\" that exploit the object-level approach. We demonstrate the design and use of example pipelines for the immunohistochemistry-based cell proliferation quantification in breast cancer and two-photon fluorescence microscopy data about bone-osteoclast interaction, which underline the advantages of the object-based concept.\nCONCLUSIONS: We introduce an open source software system that offers object-based image analysis. The object-based concept allows for a straight-forward development of object-related interactive or fully automated image analysis solutions. The presented software may therefore serve as a basis for various applications in the field of digital image analysis.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/1746-1596-8-34", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1327435", 
            "issn": [
              "2364-4893", 
              "1746-1596"
            ], 
            "name": "Diagnostic Pathology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "name": "CognitionMaster: an object-based image analysis framework", 
        "pagination": "34", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "f5a97385d62f1556514780e2608a3adaae572f48a070576af26f1dfe31058e7d"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23445542"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101251558"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1746-1596-8-34"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1051571304"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1746-1596-8-34", 
          "https://app.dimensions.ai/details/publication/pub.1051571304"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T10:16", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000348_0000000348/records_54302_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2F1746-1596-8-34"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1746-1596-8-34'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1746-1596-8-34'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1746-1596-8-34'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1746-1596-8-34'


     

    This table displays all metadata directly associated to this object as RDF triples.

    307 TRIPLES      21 PREDICATES      70 URIs      36 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1746-1596-8-34 schema:about N04aabccf4e1649f6906c3ec7f7726245
    2 N2619535c740d44b1835d05f7c326d03d
    3 N3560b47f01cc45a4adfcd134fe9eea9d
    4 N35d6b41804a14aac8f45d08f12dd589e
    5 N3d57134935ec4a5ab393bfac42e84a78
    6 N4643d03c388b41ca88be0d173be57f48
    7 N471b574ba96b48668d8d2d19e6f5924d
    8 N49b0d2fe27ba455a8b5bcb9af4352b37
    9 N53de95466bd84369926b9152e4f75bff
    10 N68cbdf0cbd3c4e01b02d551df694d6ce
    11 Na1c07ff0dcad434b8fa31515418f8969
    12 Nb95843e0adfb45ec95bd6d72afceb0d3
    13 Nc1ad674bcf214c558cc9f610680ea710
    14 Nc7922e872df64fd3a6017413dd524226
    15 Nf05c535a016a47cb8995ca8211e67504
    16 anzsrc-for:08
    17 anzsrc-for:0801
    18 schema:author N99615d38ae374924993547e5e33ccc50
    19 schema:citation sg:pub.10.1007/s00784-012-0784-3
    20 sg:pub.10.1007/s10852-008-9097-6
    21 sg:pub.10.1023/a:1021118501866
    22 sg:pub.10.1038/bjc.1989.200
    23 sg:pub.10.1038/nature07713
    24 sg:pub.10.1038/nature09132
    25 sg:pub.10.1038/nature09193
    26 sg:pub.10.1038/nmeth.2019
    27 sg:pub.10.1038/nmeth.2075
    28 sg:pub.10.1038/nmeth.2089
    29 sg:pub.10.1038/nprot.2009.129
    30 sg:pub.10.1038/srep00503
    31 sg:pub.10.1186/1471-2105-9-482
    32 sg:pub.10.1186/1746-1596-6-26
    33 sg:pub.10.1186/1746-1596-6-s1-s10
    34 sg:pub.10.1186/1746-1596-6-s1-s16
    35 sg:pub.10.1186/1746-1596-6-s1-s22
    36 sg:pub.10.1186/1746-1596-6-s1-s9
    37 https://app.dimensions.ai/details/publication/pub.1074873071
    38 https://app.dimensions.ai/details/publication/pub.1076945049
    39 https://app.dimensions.ai/details/publication/pub.1078292187
    40 https://app.dimensions.ai/details/publication/pub.1082373247
    41 https://doi.org/10.1002/(sici)1097-0320(19990301)35:3<203::aid-cyto3>3.0.co;2-k
    42 https://doi.org/10.1002/ar.1092400216
    43 https://doi.org/10.1002/cyto.a.20289
    44 https://doi.org/10.1016/j.jag.2005.06.005
    45 schema:datePublished 2013-12
    46 schema:datePublishedReg 2013-12-01
    47 schema:description BACKGROUND: Automated image analysis methods are becoming more and more important to extract and quantify image features in microscopy-based biomedical studies and several commercial or open-source tools are available. However, most of the approaches rely on pixel-wise operations, a concept that has limitations when high-level object features and relationships between objects are studied and if user-interactivity on the object-level is desired. RESULTS: In this paper we present an open-source software that facilitates the analysis of content features and object relationships by using objects as basic processing unit instead of individual pixels. Our approach enables also users without programming knowledge to compose "analysis pipelines" that exploit the object-level approach. We demonstrate the design and use of example pipelines for the immunohistochemistry-based cell proliferation quantification in breast cancer and two-photon fluorescence microscopy data about bone-osteoclast interaction, which underline the advantages of the object-based concept. CONCLUSIONS: We introduce an open source software system that offers object-based image analysis. The object-based concept allows for a straight-forward development of object-related interactive or fully automated image analysis solutions. The presented software may therefore serve as a basis for various applications in the field of digital image analysis.
    48 schema:genre research_article
    49 schema:inLanguage en
    50 schema:isAccessibleForFree true
    51 schema:isPartOf N1d157e648b13454eba95b29e692e2545
    52 N7fbdda7a2b854ba2a0c2c1fbed9e4884
    53 sg:journal.1327435
    54 schema:name CognitionMaster: an object-based image analysis framework
    55 schema:pagination 34
    56 schema:productId N126dee2a0e2a487b91df053331f2f028
    57 N45f849b704624f5ea50f8439c69c8343
    58 N83a8ac68d0154f94a9defb02b6de5488
    59 N855db918580249b8ab431fd1b017d9ef
    60 Nfea06a7339084a6e92f8586337fee178
    61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051571304
    62 https://doi.org/10.1186/1746-1596-8-34
    63 schema:sdDatePublished 2019-04-11T10:16
    64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    65 schema:sdPublisher N741afc77a3554add9bcc868de3570130
    66 schema:url https://link.springer.com/10.1186%2F1746-1596-8-34
    67 sgo:license sg:explorer/license/
    68 sgo:sdDataset articles
    69 rdf:type schema:ScholarlyArticle
    70 N04aabccf4e1649f6906c3ec7f7726245 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    71 schema:name Software
    72 rdf:type schema:DefinedTerm
    73 N126dee2a0e2a487b91df053331f2f028 schema:name nlm_unique_id
    74 schema:value 101251558
    75 rdf:type schema:PropertyValue
    76 N1a85eb587aa841a1939bb0bb7e748907 schema:name Institute of Pathology, University Hospital Heidelberg, Im Neuenheimer Feld 220/221, 69120, Heidelberg, Germany
    77 rdf:type schema:Organization
    78 N1d157e648b13454eba95b29e692e2545 schema:issueNumber 1
    79 rdf:type schema:PublicationIssue
    80 N2619535c740d44b1835d05f7c326d03d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name Female
    82 rdf:type schema:DefinedTerm
    83 N306d275b3f7d4970827be822d7b905c2 rdf:first sg:person.01340546577.39
    84 rdf:rest N6346f30172514efba71b1b33bf047b8d
    85 N3560b47f01cc45a4adfcd134fe9eea9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    86 schema:name Microscopy, Fluorescence, Multiphoton
    87 rdf:type schema:DefinedTerm
    88 N35d6b41804a14aac8f45d08f12dd589e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    89 schema:name Ki-67 Antigen
    90 rdf:type schema:DefinedTerm
    91 N36125837f7a0401bba7ee68a6a5b8960 rdf:first sg:person.0722377141.03
    92 rdf:rest N55785ff083e24997a2844dc408650e11
    93 N3d57134935ec4a5ab393bfac42e84a78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Breast Neoplasms
    95 rdf:type schema:DefinedTerm
    96 N45f849b704624f5ea50f8439c69c8343 schema:name dimensions_id
    97 schema:value pub.1051571304
    98 rdf:type schema:PropertyValue
    99 N4643d03c388b41ca88be0d173be57f48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Cell Proliferation
    101 rdf:type schema:DefinedTerm
    102 N471b574ba96b48668d8d2d19e6f5924d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Image Interpretation, Computer-Assisted
    104 rdf:type schema:DefinedTerm
    105 N49b0d2fe27ba455a8b5bcb9af4352b37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    106 schema:name Humans
    107 rdf:type schema:DefinedTerm
    108 N53de95466bd84369926b9152e4f75bff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    109 schema:name Osteoclasts
    110 rdf:type schema:DefinedTerm
    111 N55785ff083e24997a2844dc408650e11 rdf:first sg:person.0724644717.56
    112 rdf:rest N306d275b3f7d4970827be822d7b905c2
    113 N5cf17a5e26b44b3b935ae45000aa449b rdf:first sg:person.01030103733.66
    114 rdf:rest Nb24817adc0b34cbe9923d00d5202bf6b
    115 N6346f30172514efba71b1b33bf047b8d rdf:first sg:person.01052576706.33
    116 rdf:rest N86dcd3612f944f98830c4d284ca75b71
    117 N68cbdf0cbd3c4e01b02d551df694d6ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Automation, Laboratory
    119 rdf:type schema:DefinedTerm
    120 N741afc77a3554add9bcc868de3570130 schema:name Springer Nature - SN SciGraph project
    121 rdf:type schema:Organization
    122 N7fbdda7a2b854ba2a0c2c1fbed9e4884 schema:volumeNumber 8
    123 rdf:type schema:PublicationVolume
    124 N83a8ac68d0154f94a9defb02b6de5488 schema:name readcube_id
    125 schema:value f5a97385d62f1556514780e2608a3adaae572f48a070576af26f1dfe31058e7d
    126 rdf:type schema:PropertyValue
    127 N855db918580249b8ab431fd1b017d9ef schema:name pubmed_id
    128 schema:value 23445542
    129 rdf:type schema:PropertyValue
    130 N86dcd3612f944f98830c4d284ca75b71 rdf:first sg:person.01243560127.35
    131 rdf:rest rdf:nil
    132 N99615d38ae374924993547e5e33ccc50 rdf:first sg:person.0712020036.81
    133 rdf:rest N5cf17a5e26b44b3b935ae45000aa449b
    134 Na1c07ff0dcad434b8fa31515418f8969 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Algorithms
    136 rdf:type schema:DefinedTerm
    137 Nb24817adc0b34cbe9923d00d5202bf6b rdf:first sg:person.01365452125.39
    138 rdf:rest Nb2bcc0bb611942e1b398b6e3946658c3
    139 Nb2bcc0bb611942e1b398b6e3946658c3 rdf:first sg:person.01074361636.27
    140 rdf:rest Nd7f6cf9e56bf4ea0917e93bb468b661c
    141 Nb95843e0adfb45ec95bd6d72afceb0d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Predictive Value of Tests
    143 rdf:type schema:DefinedTerm
    144 Nc0e89f33662c4819bd918d55e68e3515 rdf:first sg:person.01057022421.10
    145 rdf:rest N36125837f7a0401bba7ee68a6a5b8960
    146 Nc1ad674bcf214c558cc9f610680ea710 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Cell Communication
    148 rdf:type schema:DefinedTerm
    149 Nc7922e872df64fd3a6017413dd524226 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Immunohistochemistry
    151 rdf:type schema:DefinedTerm
    152 Nd7f6cf9e56bf4ea0917e93bb468b661c rdf:first sg:person.0642700650.98
    153 rdf:rest Nc0e89f33662c4819bd918d55e68e3515
    154 Ndb49146ab12c46fab61db0bdf9b1b8f2 schema:name VMscope GmbH, Charitéplatz 1, 10117, Berlin, Germany
    155 rdf:type schema:Organization
    156 Nf05c535a016a47cb8995ca8211e67504 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Bone and Bones
    158 rdf:type schema:DefinedTerm
    159 Nfea06a7339084a6e92f8586337fee178 schema:name doi
    160 schema:value 10.1186/1746-1596-8-34
    161 rdf:type schema:PropertyValue
    162 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
    163 schema:name Information and Computing Sciences
    164 rdf:type schema:DefinedTerm
    165 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
    166 schema:name Artificial Intelligence and Image Processing
    167 rdf:type schema:DefinedTerm
    168 sg:journal.1327435 schema:issn 1746-1596
    169 2364-4893
    170 schema:name Diagnostic Pathology
    171 rdf:type schema:Periodical
    172 sg:person.01030103733.66 schema:affiliation Ndb49146ab12c46fab61db0bdf9b1b8f2
    173 schema:familyName Heim
    174 schema:givenName Daniel
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030103733.66
    176 rdf:type schema:Person
    177 sg:person.01052576706.33 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
    178 schema:familyName Denkert
    179 schema:givenName Carsten
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052576706.33
    181 rdf:type schema:Person
    182 sg:person.01057022421.10 schema:affiliation https://www.grid.ac/institutes/grid.419082.6
    183 schema:familyName Ishii
    184 schema:givenName Masaru
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057022421.10
    186 rdf:type schema:Person
    187 sg:person.01074361636.27 schema:affiliation https://www.grid.ac/institutes/grid.410722.2
    188 schema:familyName Lindequist
    189 schema:givenName Björn
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074361636.27
    191 rdf:type schema:Person
    192 sg:person.01243560127.35 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
    193 schema:familyName Klauschen
    194 schema:givenName Frederick
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243560127.35
    196 rdf:type schema:Person
    197 sg:person.01340546577.39 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
    198 schema:familyName Dietel
    199 schema:givenName Manfred
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01340546577.39
    201 rdf:type schema:Person
    202 sg:person.01365452125.39 schema:affiliation https://www.grid.ac/institutes/grid.419082.6
    203 schema:familyName Kotani
    204 schema:givenName Manato
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365452125.39
    206 rdf:type schema:Person
    207 sg:person.0642700650.98 schema:affiliation N1a85eb587aa841a1939bb0bb7e748907
    208 schema:familyName Stenzinger
    209 schema:givenName Albrecht
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0642700650.98
    211 rdf:type schema:Person
    212 sg:person.0712020036.81 schema:affiliation https://www.grid.ac/institutes/grid.6363.0
    213 schema:familyName Wienert
    214 schema:givenName Stephan
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712020036.81
    216 rdf:type schema:Person
    217 sg:person.0722377141.03 schema:affiliation https://www.grid.ac/institutes/grid.410722.2
    218 schema:familyName Hufnagl
    219 schema:givenName Peter
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0722377141.03
    221 rdf:type schema:Person
    222 sg:person.0724644717.56 schema:affiliation https://www.grid.ac/institutes/grid.6582.9
    223 schema:familyName Beil
    224 schema:givenName Michael
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724644717.56
    226 rdf:type schema:Person
    227 sg:pub.10.1007/s00784-012-0784-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013452813
    228 https://doi.org/10.1007/s00784-012-0784-3
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1007/s10852-008-9097-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047110561
    231 https://doi.org/10.1007/s10852-008-9097-6
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1023/a:1021118501866 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049192571
    234 https://doi.org/10.1023/a:1021118501866
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1038/bjc.1989.200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040502985
    237 https://doi.org/10.1038/bjc.1989.200
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1038/nature07713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025220281
    240 https://doi.org/10.1038/nature07713
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1038/nature09132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045149705
    243 https://doi.org/10.1038/nature09132
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1038/nature09193 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013195114
    246 https://doi.org/10.1038/nature09193
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1038/nmeth.2019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026706357
    249 https://doi.org/10.1038/nmeth.2019
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1038/nmeth.2075 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045173751
    252 https://doi.org/10.1038/nmeth.2075
    253 rdf:type schema:CreativeWork
    254 sg:pub.10.1038/nmeth.2089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035817137
    255 https://doi.org/10.1038/nmeth.2089
    256 rdf:type schema:CreativeWork
    257 sg:pub.10.1038/nprot.2009.129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044175383
    258 https://doi.org/10.1038/nprot.2009.129
    259 rdf:type schema:CreativeWork
    260 sg:pub.10.1038/srep00503 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017479487
    261 https://doi.org/10.1038/srep00503
    262 rdf:type schema:CreativeWork
    263 sg:pub.10.1186/1471-2105-9-482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027099973
    264 https://doi.org/10.1186/1471-2105-9-482
    265 rdf:type schema:CreativeWork
    266 sg:pub.10.1186/1746-1596-6-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016905992
    267 https://doi.org/10.1186/1746-1596-6-26
    268 rdf:type schema:CreativeWork
    269 sg:pub.10.1186/1746-1596-6-s1-s10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032541672
    270 https://doi.org/10.1186/1746-1596-6-s1-s10
    271 rdf:type schema:CreativeWork
    272 sg:pub.10.1186/1746-1596-6-s1-s16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043450304
    273 https://doi.org/10.1186/1746-1596-6-s1-s16
    274 rdf:type schema:CreativeWork
    275 sg:pub.10.1186/1746-1596-6-s1-s22 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041666076
    276 https://doi.org/10.1186/1746-1596-6-s1-s22
    277 rdf:type schema:CreativeWork
    278 sg:pub.10.1186/1746-1596-6-s1-s9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007787125
    279 https://doi.org/10.1186/1746-1596-6-s1-s9
    280 rdf:type schema:CreativeWork
    281 https://app.dimensions.ai/details/publication/pub.1074873071 schema:CreativeWork
    282 https://app.dimensions.ai/details/publication/pub.1076945049 schema:CreativeWork
    283 https://app.dimensions.ai/details/publication/pub.1078292187 schema:CreativeWork
    284 https://app.dimensions.ai/details/publication/pub.1082373247 schema:CreativeWork
    285 https://doi.org/10.1002/(sici)1097-0320(19990301)35:3<203::aid-cyto3>3.0.co;2-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1030879311
    286 rdf:type schema:CreativeWork
    287 https://doi.org/10.1002/ar.1092400216 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039498225
    288 rdf:type schema:CreativeWork
    289 https://doi.org/10.1002/cyto.a.20289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047984414
    290 rdf:type schema:CreativeWork
    291 https://doi.org/10.1016/j.jag.2005.06.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039908676
    292 rdf:type schema:CreativeWork
    293 https://www.grid.ac/institutes/grid.410722.2 schema:alternateName HTW Berlin - University of Applied Sciences
    294 schema:name Institute of Pathology, Charité University Hospital Berlin, Charitéplatz 1, 10117, Berlin, Germany
    295 University of Applied Sciences Berlin, Wilhelminenhofstraße 75A, 12459, Berlin, Germany
    296 rdf:type schema:Organization
    297 https://www.grid.ac/institutes/grid.419082.6 schema:alternateName Japan Science and Technology Agency
    298 schema:name CREST, Japan Science and Technology Agency (JST), 5 SanbanchoChiyoda-ku, 1020075, Tokyo, Japan
    299 Laboratory of Cellular Dynamics, WPI-IFReC, Osaka University, 3-1 Yamada-oka, 5650871, Suita, Osaka, Japan
    300 rdf:type schema:Organization
    301 https://www.grid.ac/institutes/grid.6363.0 schema:alternateName Charité
    302 schema:name Institute of Pathology, Charité University Hospital Berlin, Charitéplatz 1, 10117, Berlin, Germany
    303 VMscope GmbH, Charitéplatz 1, 10117, Berlin, Germany
    304 rdf:type schema:Organization
    305 https://www.grid.ac/institutes/grid.6582.9 schema:alternateName University of Ulm
    306 schema:name Department of Medicine I, University of Ulm, Albert-Einstein-Allee 23, 89081, Ulm, Germany
    307 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...