Giorgio Cattoretti

This study classifies and maps cell types in normal human lymph nodes using high-dimensional spatial proteomics, revealing novel cell subsets and interactions.

The paper evaluates biases in hyperplexed spatial proteomics, showing human eye limitations and demonstrating the value of computational tools like BRAQUE for analyzing low-signal data.

The paper identifies and characterizes novel dendritic cell subsets in tonsils using high-parameter imaging and bioinformatics, revealing spatial interactions with T and B cells.