Dan L. Pham

This paper introduces a photon pooling technique for faster single-cell FLIM analysis without machine learning, achieving single-cell metabolic data every second and 15x faster mosaic acquisition.

This study uses optical metabolic imaging to assess how cryopreservation affects T cell metabolism and activation, finding delayed responses and identifying metabolically-fit cells linked to viability.

Autofluorescence imaging informs manufacturing conditions that enhance yield and metabolic fitness of CAR T cells for neuroblastoma.

This paper introduces a TCSPC-based flow cytometer for real-time single-cell autofluorescence lifetime analysis, demonstrating viability and sensitivity to metabolic changes in various cell types.