Jannik Franzen

Tumor-versus-non-tumor T cell enrichment supported by single-cell and spatial phenotyping enables antigen-agnostic prioritization of candidate tumor-reactive TCRs

The paper identifies tumor-reactive TCRs using T/N ratios and validates them with single-cell and spatial data, showing their tumor association and effector phenotype.

Automated classification of cellular expression in multiplexed imaging data with Nimbus

The paper introduces Nimbus, a deep learning model for predicting marker positivity in multiplexed imaging data using a pre-trained dataset, and shows its integration with clustering for cell subtype identification.