In Proceedings of EuroVis (Dirk Bartz Prize)

Visual Analysis of Tissue Images at Cellular Level

3rd Prize, Dirk Bartz Prize 2021

Antonios Somarakis, Marieke E Ijsselsteijn, Boyd Kenkhuis, Vincent van Unen, Sietse J Luk, Frits Koning, Louise van der Weerd, Noel de Miranda, Boudewijn P. F. Lelieveldt, and Thomas Höllt

Publisher Paper Cite More

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.

More Information

Gallery

Citation

BibTex

@inproceedings{bib:somarakis:2021,
    author       = { Somarakis, Antonios and Ijsselsteijn, Marieke E and Kenkhuis, Boyd and van Unen, Vincent and Luk, Sietse J and Koning, Frits and van der Weerd, Louise and de Miranda, Noel and Lelieveldt, Boudewijn P. F. and Höllt, Thomas },    
    title        = { Visual Analysis of Tissue Images at Cellular Level },
    booktitle    = { In Proceedings of EuroVis (Dirk Bartz Prize) },
    year         = { 2021 },
    pages        = { 1--5 },
    publisher    = { Eurographics },
    doi          = { 10.2312/evm.20211074 },
    dblp         = { conf/vissym/SomarakisIKULKWMLH21 },
    url          = { https://publications.graphics.tudelft.nl/papers/808 },
}