Vikas Pandey

This paper introduces a deep learning method called AUTO-FLI for 3D fluorescence lifetime imaging in deep tissues, showing it can accurately reconstruct intensity and lifetime data in scattering media.

This paper introduces a real-time fluorescence lifetime imaging method using single-snapshot acquisitions, demonstrating its application in biomedical scenarios from microscopic to macroscale.

This paper introduces HSF-FLI, a method to isolate subsurface fluorescence signals in MFLI, validated in vivo and ex vivo with mouse tumor models.

This study uses fluorescence lifetime imaging to quantify TZM-HER2 binding and distribution in tumors with varying microenvironments, showing differences in drug delivery efficacy between cancer types.