Xilal Y. Rima

This paper introduces SPARQ, a method to quantify functional AAV vectors at single-particle resolution, revealing functional heterogeneity and improving dose analysis in gene therapy.

This study develops multidimensional in vitro models to investigate anti-estrogen resistance and dormancy in invasive lobular carcinoma, identifying p27Kip1 signaling as central to dormant phenotype.

This paper introduces LEVA, a label-free, high-resolution, tunable platform for EV adsorption and characterization, demonstrating its versatility with various EV sources and applications.

This study uses BEST and MBA to track extracellular vesicle cargo in gastric cancer, showing saliva as the best biofluid for diagnosis.

The paper introduces a technique to combine optical and non-optical single-EP analyses by limiting Brownian motion, enhancing immunogold phenotyping and enabling orthogonal measurements.