Multiphoton minimal inertia scanning for fast acquisition of neural activity signals

Journal of Neural Engineering
Renaud SchuckSimon R Schultz

Abstract

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. 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). Using surrogate neuron spatial position data, we show that SSA acquisition rate...Continue Reading

References

Apr 6, 1990·Science·W DenkW W Webb
May 16, 2003·Nature·Rosa CossartWeijian Yang
Jun 5, 2003·Proceedings of the National Academy of Sciences of the United States of America·Christoph StosiekArthur Konnerth
Jan 25, 2006·Nature Methods·Jason N MacLeanWeijian Yang
Jun 10, 2008·Journal of Neuroscience Methods·Kyle P LillisJerome Mertz
Jul 1, 2011·Journal of Neurophysiology·Alexander J SadovskyJason N MacLean
Dec 20, 2011·Frontiers in Neural Circuits·Björn M KampaFritjof Helmchen
Apr 24, 2013·Journal of Neuroscience Methods·Gerardo MauleonDavid T Eddington
Jul 19, 2013·Journal of Neural Engineering·Jon OñativiaPier Luigi Dragotti
Jul 23, 2013·Nature·Tsai-Wen ChenDouglas S Kim
Jan 11, 2014·The European Journal of Neuroscience·Mayumi TadaMasanobu Kano
Dec 3, 2014·Journal of Neuroscience Methods·Mohammad I K HamadPetra Wahle
Jan 9, 2015·Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society·Renaud SchuckSimon R Schultz
Jun 27, 2015·Current Opinion in Chemical Biology·Thomas KnöpfelChenchen Song
May 7, 2016·Neuron·Lucas TheisMatthias Bethge
Jun 10, 2016·Journal of Neurophysiology·Kaspar Podgorski, Gayathri Ranganathan

Citations

Jul 19, 2018·Neural Computation·Stephanie ReynoldsPier Luigi Dragotti
Mar 21, 2019·Frontiers in Cellular Neuroscience·Peter QuickeThomas Knöpfel
Oct 20, 2018·Biomedical Optics Express·Peter QuickeAmanda J Foust
May 17, 2018·Brain and Neuroscience Advances·Luca A Annecchino, Simon R Schultz

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