Paper
10 March 2015 Visualization and neuronal cell targeting during electrophysiological recordings facilitated by quantum dots
Lauren D. Field, Bertalan K. Andrásfalvy, Gregorio L. Galiñanes, Daniel Huber, Mladen Barbic, John J. Macklin, Kimihiro Susumu, James B. Delehanty III, Alan L. Huston, Judit K. Makara, Igor L. Medintz
Author Affiliations +
Abstract
The simultaneous visualization, identification and targeting of neurons during patch clamp-mediated electrophysiological recordings is a basic technique in neuroscience, yet it is often complicated by the inability to visualize the pipette tip, particularly in deep brain tissue. Here we demonstrate a novel approach in which fluorescent quantum dot probes are used to coat pipettes prior to their use. The strong two-photon absorption cross sections of the quantum dots afford robust contrast at significantly deeper penetration depths than current methods allow. We demonstrate the utility of this technique in multiple recording formats both in vitro and in vivo where imaging of the pipettes is achieved at remarkable depths (up to 800 microns). Notably, minimal perturbation of cellular physiology is observed over the hours-long time course of neuronal recordings. We discuss our results within the context of the role that quantum dot nanoprobes may play in understanding neuronal cell physiology.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lauren D. Field, Bertalan K. Andrásfalvy, Gregorio L. Galiñanes, Daniel Huber, Mladen Barbic, John J. Macklin, Kimihiro Susumu, James B. Delehanty III, Alan L. Huston, Judit K. Makara, and Igor L. Medintz "Visualization and neuronal cell targeting during electrophysiological recordings facilitated by quantum dots", Proc. SPIE 9305, Optical Techniques in Neurosurgery, Neurophotonics, and Optogenetics II, 93050Y (10 March 2015); https://doi.org/10.1117/12.2076934
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KEYWORDS
Neurons

Visualization

Quantum dots

Plasma

Tissues

Brain

Coating

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