Raghabendra Adhikari

This paper introduces sOrganellomics, a method to map cell state diversity and metabolic adaptation in tissues using spatial imaging and machine learning, revealing new insights into hepatocyte organization and metabolic changes under stress.

The paper develops and validates a genetically encoded fluorescent sensor, iG6PSnFR, for measuring glucose-6-phosphate dynamics across multiple biological contexts.

This paper develops an improved FBP sensor, HYlight2, for in vivo imaging of glycolysis in various organisms.

This study shows Imp1 regulates temporal fate transitions in radial glia during cortical development, affecting neuronal identity and spatial organization through dosage and stage-dependent mechanisms.

MicroSplit uses deep learning to computationally unmix fluorescent microscopy data, enabling faster imaging and reduced photon exposure by separating multiple cellular structures from a single channel.