Mei Jiang

This study compares spatial immune architectures in tumor and tumor-adjacent tissues of early-stage NSCLC, finding distinct immune cell densities, spatial patterns, and associations with genomic features and patient outcomes.

UniST reconstructs dense 3D spatial transcriptomics data from sparse serial sections, restoring structural continuity and biologically meaningful expression patterns in multiple tissue contexts.

This study compares imaging-based spatial transcriptomics platforms using FFPE tumor samples, finding differences in performance and highlighting factors affecting data quality.