Unknown

Dataset Information

Mapping metabolic changes by noninvasive, multiparametric, high-resolution imaging using endogenous contrast.


ABSTRACT: Monitoring subcellular functional and structural changes associated with metabolism is essential for understanding healthy tissue development and the progression of numerous diseases, including cancer, diabetes, and cardiovascular and neurodegenerative disorders. Unfortunately, established methods for this purpose either are destructive or require the use of exogenous agents. Recent work has highlighted the potential of endogenous two-photon excited fluorescence (TPEF) as a method to monitor subtle metabolic changes; however, mechanistic understanding of the connections between the detected optical signal and the underlying metabolic pathways has been lacking. We present a quantitative approach to detecting both functional and structural metabolic biomarkers noninvasively, relying on endog

SUBMITTER: Liu Z 

PROVIDER: S-EPMC5846284 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature