A double-sided microscope to realize whole-ganglion imaging of membrane potential in the medicinal leech
Abstract
Studies of neuronal network emergence during sensory processing and motor control are greatly promoted by technologies that allow us to simultaneously record the membrane potential dynamics of a large population of neurons in single cell resolution. To achieve whole-brain recording with the ability to detect both small synaptic potentials and action potentials, we developed a voltage-sensitive dye (VSD) imaging technique based on a double-sided microscope that can image two sides of a nervous system simultaneously. We applied this system to the segmental ganglia of the medicinal leech. Double-sided VSD imaging enabled simultaneous recording of membrane potential events from almost all of the identifiable neurons. Using data obtained from double-sided VSD imaging we analyzed neuronal dynamics in both sensory processing and generation of behavior and constructed functional maps for identification of neurons contributing to these processes.
Data availability
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Data from: Whole-ganglion imaging of voltage in the medicinal leechusing a double-sided microscopeAvailable at Dryad Digital Repository under a CC0 Public Domain Dedication.
Article and author information
Author details
Funding
National Institute of Neurological Disorders and Stroke (R01NS094403)
- Daniel A Wagenaar
Burroughs Wellcome Fund (Career Award at the Scientific Interface)
- Daniel A Wagenaar
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Ronald L Calabrese, Emory University, United States
Version history
- Received: June 22, 2017
- Accepted: September 25, 2017
- Accepted Manuscript published: September 25, 2017 (version 1)
- Version of Record published: October 25, 2017 (version 2)
- Version of Record updated: October 27, 2017 (version 3)
- Version of Record updated: March 8, 2018 (version 4)
Copyright
© 2017, Tomina & Wagenaar
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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