Sumin Lee

This study evaluates the trade-off between spatial resolution and proteome depth in spatial proteomics using SLACS, showing that few-cell sampling maintains proteomic information while increasing spatial specificity.

The paper identifies disease-prone states in human mesocortical assembloids using multimodal profiling, revealing intrinsic susceptibility to neurodegeneration.

This paper introduces a label-free method using holotomography and AI to quantify hepatic stellate cell activation in live cells, distinguishing quiescent and activated states.

This study uses low-coherence holotomography to track adipocyte differentiation and lipid droplet dynamics over 42 days without labeling.

This study introduces low-coherence holotomography for long-term live imaging of unlabeled mouse small intestinal organoids, capturing high-resolution morphological details and differentiating viable from non-viable organoids.