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Mapping metabolism of liver tissue using two-photon FLIM.

Svetlana RodimovaDaria KuznetsovaNikolai BobrovVadim ElaginVladislav ShcheslavskiyVladimir ZagainovElena Zagaynova
Published in: Biomedical optics express (2020)
Although fluorescence lifetime imaging microscopy (FLIM) has been extensively applied to study cellular metabolism in the liver, there is neither an established approach to analyze the data, nor have appropriate protocols been developed to maintain the optical metabolic characteristics in the ex vivo liver tissue sample. Here, we show that a tri-exponential decay fitting model for the fluorescence signal from nicotinamide adenine dinucleotide (NAD(P)H) and the use of ex vivo samples allows the most appropriate processing of the FLIM data. Moreover, we determine the medium that maintains the initial metabolic state of hepatocytes (liver cells), most effectively. Our results should be particularly relevant for the interrogation of liver samples, not only in laboratory research, but also in clinical settings in the future.
Keyphrases
  • high resolution
  • single molecule
  • induced apoptosis
  • big data
  • mass spectrometry
  • multidrug resistant
  • signaling pathway
  • artificial intelligence