Imperial College London

ProfessorSimonSchultz

Faculty of EngineeringDepartment of Bioengineering

Professor of Neurotechnology
 
 
 
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Contact

 

+44 (0)20 7594 1533s.schultz Website

 
 
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Location

 

4.11Royal School of MinesSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Schuck:2017:1741-2552/aa99e2,
author = {Schuck, R and Go, MA and Garasto, S and Reynolds, S and Dragotti, PL and Schultz, S},
doi = {1741-2552/aa99e2},
journal = {J Neural Eng},
title = {Multiphoton minimal inertia scanning for fast acquisition of neural activity signals.},
url = {http://dx.doi.org/10.1088/1741-2552/aa99e2},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - OBJECTIVE: Multi-photon laser scanning microscopy provides a powerful tool for monitoring the spatiotemporal dynamics of neural circuit activity. It is, however, intrinsically a point scanning technique. Standard raster scanning enables imaging at subcellular resolution; however, acquisition rates are limited by the size of the field of view to be scanned. Recently developed scanning strategies such as Travelling Salesman Scanning (TSS) have been developed to maximize cellular sampling rate by scanning only select regions in the field of view corresponding to locations of interest such as somata. However, such strategies are not optimized for the mechanical properties of galvanometric scanners. We thus aimed to develop a new scanning algorithm which produces minimal inertia trajectories, and compare its performance with existing scanning algorithms. Approach: We describe here the Adaptive Spiral Scanning (SSA) algorithm, which fits a set of near-circular trajectories to the cellular distribution to avoid inertial drifts of galvanometer position. We compare its performance to raster scanning and TSS in terms of cellular sampling frequency and signal-to-noise ratio (SNR). Main Results: Using surrogate neuron spatial position data, we show that SSA acquisition rates are an order of magnitude higher than those for raster scanning and generally exceed those achieved by TSS for neural densities comparable with those found in the cortex. We show that this result also holds true for in vitro hippocampal mouse brain slices bath loaded with the synthetic calcium dye Cal-520 AM. The ability of TSS to "park" the laser on each neuron along the scanning trajectory, however, enables higher SNR than SSA when all targets are precisely scanned. Raster scanning has the highest SNR but at a substantial cost in number of cells scanned. To understand the impact of sampling rate and SNR on functional calcium imaging, we used the Crame r-Rao Bound on e
AU - Schuck,R
AU - Go,MA
AU - Garasto,S
AU - Reynolds,S
AU - Dragotti,PL
AU - Schultz,S
DO - 1741-2552/aa99e2
PY - 2017///
TI - Multiphoton minimal inertia scanning for fast acquisition of neural activity signals.
T2 - J Neural Eng
UR - http://dx.doi.org/10.1088/1741-2552/aa99e2
UR - https://www.ncbi.nlm.nih.gov/pubmed/29129832
UR - http://hdl.handle.net/10044/1/53330
ER -