Shift and Mean Algorithm for Functional Imaging with High Spatio-Temporal Resolution

Frontiers in Cellular Neuroscience
Sylvain Rama

Abstract

Understanding neuronal physiology requires to record electrical activity in many small and remote compartments such as dendrites, axon or dendritic spines. To do so, electrophysiology has long been the tool of choice, as it allows recording very subtle and fast changes in electrical activity. However, electrophysiological measurements are mostly limited to large neuronal compartments such as the neuronal soma. To overcome these limitations, optical methods have been developed, allowing the monitoring of changes in fluorescence of fluorescent reporter dyes inserted into the neuron, with a spatial resolution theoretically only limited by the dye wavelength and optical devices. However, the temporal and spatial resolutive power of functional fluorescence imaging of live neurons is often limited by a necessary trade-off between image resolution, signal to noise ratio (SNR) and speed of acquisition. Here, I propose to use a Super-Resolution Shift and Mean (S&M) algorithm previously used in image computing to improve the SNR, time sampling and spatial resolution of acquired fluorescent signals. I demonstrate the benefits of this methodology using two examples: voltage imaging of action potentials (APs) in soma and dendrites of CA3 py...Continue Reading

References

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Citations

Jul 17, 2019·Nature Methods·Jonathan S MarvinLoren L Looger
Mar 3, 2020·Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·Arsenii Y ArkhipovDmitry V Samigullin

Methods Mentioned

BETA
fluorescence imaging
chip

Related Concepts

Axon
Diagnostic Imaging
Fluorescent Dyes
Neurons
Spatial Distribution
Vertebral Column
Pyramidal Cells
Widening
Fluorescence Imaging
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