12 May 2017 Imaging membrane potential changes from dendritic spines using computer-generated holography
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Abstract
Electrical properties of neuronal processes are extraordinarily complex, dynamic, and, in the general case, impossible to predict in the absence of detailed measurements. To obtain such a measurement one would, ideally, like to be able to monitor electrical subthreshold events as they travel from synapses on distal dendrites and summate at particular locations to initiate action potentials. It is now possible to carry out these measurements at the scale of individual dendritic spines using voltage imaging. In these measurements, the voltage-sensitive probes can be thought of as transmembrane voltmeters with a linear scale, which directly monitor electrical signals. Grinvald et al. were important early contributors to the methodology of voltage imaging, and they pioneered some of its significant results. We combined voltage imaging and glutamate uncaging using computer-generated holography. The results demonstrated that patterned illumination, by reducing the surface area of illuminated membrane, reduces photodynamic damage. Additionally, region-specific illumination practically eliminated the contamination of optical signals from individual spines by the scattered light from the parent dendrite. Finally, patterned illumination allowed one-photon uncaging of glutamate on multiple spines to be carried out in parallel with voltage imaging from the parent dendrite and neighboring spines.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Dimitrii Tanese, Dimitrii Tanese, Ju-Yun Weng, Ju-Yun Weng, Valeria Zampini, Valeria Zampini, Vincent de-Sars, Vincent de-Sars, Marco Canepari, Marco Canepari, Balazs J. Rozsa, Balazs J. Rozsa, Valentina Emiliani, Valentina Emiliani, Dejan Zecevic, Dejan Zecevic, } "Imaging membrane potential changes from dendritic spines using computer-generated holography," Neurophotonics 4(3), 031211 (12 May 2017). https://doi.org/10.1117/1.NPh.4.3.031211 . Submission: Received: 28 February 2017; Accepted: 24 April 2017
Received: 28 February 2017; Accepted: 24 April 2017; Published: 12 May 2017
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