Publication: Cytomapper: an R/bioconductor package for visualisation of highly multiplexed imaging data
Cytomapper: an R/bioconductor package for visualisation of highly multiplexed imaging data
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Eling, N., Damond, N., Hoch, T., & Bodenmiller, B. (2020). Cytomapper: an R/bioconductor package for visualisation of highly multiplexed imaging data (No. 287516; BioRxiv). https://doi.org/10.1101/2020.09.08.287516
Abstract
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Abstract
Highly multiplexed imaging technologies enable spatial profiling of dozens of biomarkersin situ. Standard data processing pipelines quantify cell-specific features and generate object segmentation masks as well as multi-channel images. Therefore, multiplexed imaging data can be visualised across two layers of information: pixel-intensities represent the spatial expression of biomarkers across an image while segmented objects visualise cellular morphology, interactions and cell phenotypes in their microenvironment.Here we describecytom
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- Eling, Nils
- Damond, Nicolas
- Hoch, Tobias
- Bodenmiller, Bernd
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Eling, N., Damond, N., Hoch, T., & Bodenmiller, B. (2020). Cytomapper: an R/bioconductor package for visualisation of highly multiplexed imaging data (No. 287516; BioRxiv). https://doi.org/10.1101/2020.09.08.287516
