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Large-scale deep tissue voltage imaging with targeted illumination confocal microscopy.
Xiao, Sheng; Cunningham, William J; Kondabolu, Krishnakanth; Lowet, Eric; Moya, Maria V; Mount, Rebecca; Ravasio, Cara; Economo, Michael N; Han, Xue; Mertz, Jerome.
  • Xiao S; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Cunningham WJ; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Kondabolu K; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Lowet E; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Moya MV; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Mount R; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Ravasio C; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Economo MN; Department of Biomedical Engineering, Boston University, Boston MA 02215.
  • Han X; Neurophotonics Center, Boston University, Boston MA, 02215.
  • Mertz J; Department of Biomedical Engineering, Boston University, Boston MA 02215.
bioRxiv ; 2023 Jul 21.
Article en En | MEDLINE | ID: mdl-37502929
ABSTRACT
Voltage imaging with cellular specificity has been made possible by the tremendous advances in genetically encoded voltage indicators (GEVIs). However, the kilohertz rates required for voltage imaging lead to weak signals. Moreover, out-of-focus fluorescence and tissue scattering produce background that both undermines signal-to-noise ratio (SNR) and induces crosstalk between cells, making reliable in vivo imaging in densely labeled tissue highly challenging. We describe a microscope that combines the distinct advantages of targeted illumination and confocal gating, while also maximizing signal detection efficiency. The resulting benefits in SNR and crosstalk reduction are quantified experimentally and theoretically. Our microscope provides a versatile solution for enabling high-fidelity in vivo voltage imaging at large scales and penetration depths, which we demonstrate across a wide range of imaging conditions and different GEVI classes.