Literature DB >> 16221746

Fast functional imaging of single neurons using random-access multiphoton (RAMP) microscopy.

Vijay Iyer1, Tycho M Hoogland, Peter Saggau.   

Abstract

The successful study of dendritic signaling and computation requires the ability to simultaneously monitor neuronal activity at multiple cellular sites. While the difficulties of accessing dendritic submicron structures with conventional micropipette approaches are generally overcome by optical recording techniques, their spatio-temporal resolution has limited such studies to few sites or slow signals. Here we present a novel approach to functional imaging, termed random-access multiphoton (RAMP) microscopy, which combines multiphoton excitation with an inertia-free scanning mechanism. RAMP microscopy employs two-dimensional acousto-optic deflection to rapidly position a focused near-infrared ultrafast laser beam between dwell periods at multiple user-selected sites. Because neuronal structures are generally sparse, activity located throughout various compartments, including thin dendritic branches and spines, can be mapped at high frame rates while maintaining the signal-to-noise ratio of conventional scanning microscopy. Moreover, RAMP microscopy maintains the excellent structural imaging capability of multiphoton excitation, i.e., intrinsic optical sectioning and high lateral resolution from within highly light-scattering brain tissue. RAMP microscopy thus comprises a versatile tool for investigating correlations of dendritic structure and function with significantly enhanced experimental throughput.

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Year:  2005        PMID: 16221746     DOI: 10.1152/jn.00865.2005

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  43 in total

1.  Fast two-photon in vivo imaging with three-dimensional random-access scanning in large tissue volumes.

Authors:  Gergely Katona; Gergely Szalay; Pál Maák; Attila Kaszás; Máté Veress; Dániel Hillier; Balázs Chiovini; E Sylvester Vizi; Botond Roska; Balázs Rózsa
Journal:  Nat Methods       Date:  2012-01-08       Impact factor: 28.547

2.  High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision.

Authors:  Benjamin F Grewe; Dominik Langer; Hansjörg Kasper; Björn M Kampa; Fritjof Helmchen
Journal:  Nat Methods       Date:  2010-04-18       Impact factor: 28.547

3.  Method to reconstruct neuronal action potential train from two-photon calcium imaging.

Authors:  Tingwei Quan; Xiuli Liu; Xiaohua Lv; Wei R Chen; Shaoqun Zeng
Journal:  J Biomed Opt       Date:  2010 Nov-Dec       Impact factor: 3.170

Review 4.  Models of calcium dynamics in cerebellar granule cells.

Authors:  Elena È Saftenku
Journal:  Cerebellum       Date:  2012-03       Impact factor: 3.847

5.  Two-photon imaging of spatially extended neuronal network dynamics with high temporal resolution.

Authors:  Kyle P Lillis; Alfred Eng; John A White; Jerome Mertz
Journal:  J Neurosci Methods       Date:  2008-05-03       Impact factor: 2.390

6.  Second-harmonic generation imaging of membrane potential with photon counting.

Authors:  Jiang Jiang; Rafael Yuste
Journal:  Microsc Microanal       Date:  2008-12       Impact factor: 4.127

Review 7.  High-throughput nonlinear optical microscopy.

Authors:  Peter T C So; Elijah Y S Yew; Christopher Rowlands
Journal:  Biophys J       Date:  2013-12-17       Impact factor: 4.033

8.  Fast state-space methods for inferring dendritic synaptic connectivity.

Authors:  Ari Pakman; Jonathan Huggins; Carl Smith; Liam Paninski
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

9.  Three-dimensional random access multiphoton microscopy for functional imaging of neuronal activity.

Authors:  Gaddum Duemani Reddy; Keith Kelleher; Rudy Fink; Peter Saggau
Journal:  Nat Neurosci       Date:  2008-04-27       Impact factor: 24.884

Review 10.  Technologies for imaging neural activity in large volumes.

Authors:  Na Ji; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

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