Daniel Roxbury

This paper uses machine learning and SWCNT spectral fingerprinting to detect and subtype breast cancer cells in live culture with high accuracy.

This study improves the stability and reconstitution of DNA-functionalized carbon nanotubes using lyophilization with cryoprotectants, enhancing their performance in biomedical applications.

This paper uses NIR fluorescence and Raman microscopy combined with machine learning to identify macrophage phenotypes based on DNA-SWCNT interactions, achieving >95% accuracy.

This study shows that oligonucleotide length affects the intracellular stability and fate of DNA-wrapped carbon nanotubes in mammalian cells.