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Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines

Long-term structural plasticity of dendritic spines plays a key role in synaptic plasticity, the cellular basis for learning and memory. The biochemical step is mediated by a complex network of signaling proteins in spines. Two-photon imaging techniques combined with two-photon glutamate uncaging al...

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Detalles Bibliográficos
Autores principales: Smirnov, Michael S., Evans, Paul R., Garrett, Tavita R., Yan, Long, Yasuda, Ryohei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256890/
https://www.ncbi.nlm.nih.gov/pubmed/28114380
http://dx.doi.org/10.1371/journal.pone.0170586
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author Smirnov, Michael S.
Evans, Paul R.
Garrett, Tavita R.
Yan, Long
Yasuda, Ryohei
author_facet Smirnov, Michael S.
Evans, Paul R.
Garrett, Tavita R.
Yan, Long
Yasuda, Ryohei
author_sort Smirnov, Michael S.
collection PubMed
description Long-term structural plasticity of dendritic spines plays a key role in synaptic plasticity, the cellular basis for learning and memory. The biochemical step is mediated by a complex network of signaling proteins in spines. Two-photon imaging techniques combined with two-photon glutamate uncaging allows researchers to induce and quantify structural plasticity in single dendritic spines. However, this method is laborious and slow, making it unsuitable for high throughput screening of factors necessary for structural plasticity. Here we introduce a MATLAB-based module built for Scanimage to automatically track, image, and stimulate multiple dendritic spines. We implemented an electrically tunable lens in combination with a drift correction algorithm to rapidly and continuously track targeted spines and correct sample movements. With a straightforward user interface to design custom multi-position experiments, we were able to adequately image and produce targeted plasticity in multiple dendritic spines using glutamate uncaging. Our methods are inexpensive, open source, and provides up to a five-fold increase in throughput for quantifying structural plasticity of dendritic spines.
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spelling pubmed-52568902017-02-06 Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines Smirnov, Michael S. Evans, Paul R. Garrett, Tavita R. Yan, Long Yasuda, Ryohei PLoS One Research Article Long-term structural plasticity of dendritic spines plays a key role in synaptic plasticity, the cellular basis for learning and memory. The biochemical step is mediated by a complex network of signaling proteins in spines. Two-photon imaging techniques combined with two-photon glutamate uncaging allows researchers to induce and quantify structural plasticity in single dendritic spines. However, this method is laborious and slow, making it unsuitable for high throughput screening of factors necessary for structural plasticity. Here we introduce a MATLAB-based module built for Scanimage to automatically track, image, and stimulate multiple dendritic spines. We implemented an electrically tunable lens in combination with a drift correction algorithm to rapidly and continuously track targeted spines and correct sample movements. With a straightforward user interface to design custom multi-position experiments, we were able to adequately image and produce targeted plasticity in multiple dendritic spines using glutamate uncaging. Our methods are inexpensive, open source, and provides up to a five-fold increase in throughput for quantifying structural plasticity of dendritic spines. Public Library of Science 2017-01-23 /pmc/articles/PMC5256890/ /pubmed/28114380 http://dx.doi.org/10.1371/journal.pone.0170586 Text en © 2017 Smirnov et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Smirnov, Michael S.
Evans, Paul R.
Garrett, Tavita R.
Yan, Long
Yasuda, Ryohei
Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title_full Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title_fullStr Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title_full_unstemmed Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title_short Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines
title_sort automated remote focusing, drift correction, and photostimulation to evaluate structural plasticity in dendritic spines
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256890/
https://www.ncbi.nlm.nih.gov/pubmed/28114380
http://dx.doi.org/10.1371/journal.pone.0170586
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