2017 Annual Meeting

(559e) Molecular Recognition of Dopamine with Near Infrared Dual Excitation-Emission Two-Photon Microscopy of Nanosensors

Authors

Del Bonis-O'Donnell, J. T. - Presenter, University of California Berkeley
Page, R., University of California Berkeley
Beyene, A., University of California Berkeley
Tindall, E., University of California Berkeley
McFarlane, I., University of California Berkeley
Landry, M., Chan Zuckerberg Biohub
Neuromodulatory neurotransmitters in the brain are implicated in a wide variety of psychiatric and neurological disorders, yet their quantification in the biologically-relevant milieu of the living brain remains inaccessible. Non-invasive, optical methods to directly quantify neurotransmission will transform our ability to study and understand psychiatric disorders. Recently, functionalized single walled carbon nanotubes (SWNTs) have emerged as promising near-infrared (NIR) fluorescent nanosensors for the sensitive and rapid detection of neurotransmitter dopamine. These sensors fluorescence in the NIR-II window (1000-1700 nm) where absorption and scattering of light is minimal, making them optimally suited for non-invasive imaging in brain tissue. However, the photoexcitation of SWNT dopamine nanosenors is currently accomplished with highly-scattering visible light. To further optimize dopamine nanosensors for in vivo imaging, we show that non-linear photoexcitation of our SWNT nanosensors can be achieved using a 1560 nm laser excitation source, falling within the optimal NIR-II window. Using a femtosecond pulsed erbium laser, we observe two-photon induced fluorescence of SWNT dopamine nanosensors and measure nanosensor quantum yield and 2-photon cross sections. Furthermore, we demonstrate SWNT-based molecular recognition of dopamine using two-photon excitation, confirming that the molecular recognition principle of our sensors is compatible with non-linear excitation. Finally, we show significantly improved fluorescence spatial resolution attained by two-photon excitation when imaging in strongly scattering tissue phantoms, motivating future work using these sensors for in vivo, real-time sensing of dopamine in brain tissue.