Nils Eling

The paper extends compressed sensing to imaging mass cytometry, enabling higher multiplexity by recovering spatial protein expression from fewer measured channels.

Cellohood identifies cellular neighborhoods in spatial transcriptomics data, revealing clinically relevant patterns across multiple granularity levels.

The paper presents two workflows for analyzing multiplexed imaging data from cancer tissues, applied to over 10,000 samples from 2500 patients, enabling large-scale tumor microenvironment studies.

The paper introduces a workflow for processing and analyzing multiplexed imaging data, integrating image processing with single-cell analysis tools.

cytoviewer provides an R/Bioconductor package for interactive visualization of multiplexed imaging data, enabling quality control and hypothesis testing through user-friendly tools.

cytomapper visualises multiplexed imaging data at pixel and cell levels, enabling analysis of spatial expression and cell phenotypes in diabetes patients.

The paper creates a single-cell transcriptomic atlas of mouse spermatogenesis, identifying key developmental stages and X chromosome transcriptional dynamics.

This study shows that ageing alters the composition of γδ T cells in lymph nodes, promoting tumour growth in mice.

The paper introduces a method to measure expression variability in single-cell RNA sequencing data, revealing synchronized translational machinery activity in immune cells and new patterns in CD4+ T cell differentiation.