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    Visual Analysis of Tissue Images at Cellular Level

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    Date
    2021
    Author
    Somarakis, Antonios ORCID
    Ijsselsteijn, Marieke E. ORCID
    Kenkhuis, Boyd ORCID
    Unen, Vincent van ORCID
    Luk, Sietse J. ORCID
    Koning, Frits ORCID
    Weerd, Louise van der ORCID
    Miranda, Noel F. C. C. de ORCID
    Lelieveldt, Boudewijn P. F.
    Höllt, Thomas
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    Abstract
    The detailed analysis of tissue composition is crucial for the understanding of tissue functionality. For example, the location of immune cells related to a tumour area is highly correlated with the effectiveness of immunotherapy. Therefore, experts are interested in presence of cells with specific characteristics as well as the spatial patterns they form. Recent advances in single-cell imaging modalities, producing high-dimensional, high-resolution images enable the analysis of both of these features. However, extracting useful insight on tissue functionality from these high-dimensional images poses serious and diverse challenges to data analysis. We have developed an interactive, data-driven pipeline covering the main analysis challenges experts face, from the pre-processing of images via the exploration of tissue samples to the comparison of cohorts of samples. All parts of our pipeline have been developed in close collaboration with domain experts and are already a vital part in their daily analysis routine.
    BibTeX
    @inproceedings {10.2312:evm.20211074,
    booktitle = {EuroVis 2021 - Dirk Bartz Prize},
    editor = {Oeltze-Jafra, Steffen and Raidou, Renata Georgia},
    title = {{Visual Analysis of Tissue Images at Cellular Level}},
    author = {Somarakis, Antonios and Ijsselsteijn, Marieke E. and Kenkhuis, Boyd and Unen, Vincent van and Luk, Sietse J. and Koning, Frits and Weerd, Louise van der and Miranda, Noel F. C. C. de and Lelieveldt, Boudewijn P. F. and Höllt, Thomas},
    year = {2021},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-147-2},
    DOI = {10.2312/evm.20211074}
    }
    URI
    https://doi.org/10.2312/evm.20211074
    https://diglib.eg.org:443/handle/10.2312/evm20211074
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA