Improved methods for functional neuronal imaging with genetically encoded voltage indicators
File(s)
Author(s)
Quicke, Peter Ernest Hosking
Type
Thesis or dissertation
Abstract
Voltage imaging has the potential to revolutionise neuronal physiology, enabling high temporal and spatial resolution monitoring of sub- and supra-threshold activity in genetically defined cell classes. Before this goal is reached a number of challenges must be overcome: novel optical, genetic, and experimental techniques must be combined to deal with voltage imaging’s unique difficulties.
In this thesis three techniques are applied to genetically encoded voltage indicator (GEVI)
imaging. First, I describe a multifocal two-photon microscope and present a novel source localisation control and reconstruction algorithm to increase scattering resistance in functional
imaging. I apply this microscope to image population and single-cell voltage signals from voltage sensitive fluorescent proteins in the first demonstration of multifocal GEVI imaging. Second, I show that a recently described genetic technique that sparsely labels cortical pyramidal
cells enables single-cell resolution imaging in a one-photon widefield imaging configuration.
This genetic technique allows simple, high signal-to-noise optical access to the primary excitatory
cells in the cerebral cortex. Third, I present the first application of lightfield microscopy
to single cell resolution neuronal voltage imaging. This technique enables single-shot capture of dendritic arbours and resolves 3D localised somatic and dendritic voltage signals. These approaches are finally evaluated for their contribution to the improvement of voltage imaging for physiology.
In this thesis three techniques are applied to genetically encoded voltage indicator (GEVI)
imaging. First, I describe a multifocal two-photon microscope and present a novel source localisation control and reconstruction algorithm to increase scattering resistance in functional
imaging. I apply this microscope to image population and single-cell voltage signals from voltage sensitive fluorescent proteins in the first demonstration of multifocal GEVI imaging. Second, I show that a recently described genetic technique that sparsely labels cortical pyramidal
cells enables single-cell resolution imaging in a one-photon widefield imaging configuration.
This genetic technique allows simple, high signal-to-noise optical access to the primary excitatory
cells in the cerebral cortex. Third, I present the first application of lightfield microscopy
to single cell resolution neuronal voltage imaging. This technique enables single-shot capture of dendritic arbours and resolves 3D localised somatic and dendritic voltage signals. These approaches are finally evaluated for their contribution to the improvement of voltage imaging for physiology.
Version
Open Access
Date Issued
2019-03
Date Awarded
2019-09
Copyright Statement
Creative Commons Attribution ShareAlike Licence
Advisor
Schultz, Simon
Neil, Mark
Knöpfel, Thomas
Sponsor
Engineering and Physical Sciences Research Council
Grant Number
EP/L016737/1
Publisher Department
Bioengineering
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)