Michael C. Kolios

This study shows that membrane filtration removes more lipid from nanobubbles than size exclusion predicts, reducing their acoustic stability under ultrasound.

This study examines how immediate vs delayed ultrasound with nanobubbles affects pancreatic cancer cell viability, proliferation, metabolism, and stress responses in PANC-1 and BxPC-3 cells.

This paper demonstrates a method to track CAR-T cells in vivo using nanobubble-based contrast-enhanced ultrasound, showing effective visualization in both tumor-bearing and non-tumor-bearing mice.

This paper uses contrast-enhanced ultrasound imaging with nanobubbles to assess tumor microenvironment characteristics and predict nanoparticle distribution in tumors with different vascular permeability.

This study uses deep learning and label-free imaging flow cytometry to classify red blood cell morphologies during storage, achieving 90% accuracy and predicting expiration dates based on morphological changes.