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

Smirnov, M. S., Evans, P. R., Garrett, T. R., Yan, L., & Yasuda, R. (2017). Automated Remote Focusing, Drift Correction, and Photostimulation to Evaluate Structural Plasticity in Dendritic Spines. PLOS ONE, e0170586. Retrieved from http://dx.doi.org/10.1371%2Fjournal.pone.0170586.

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Genre: Zeitschriftenartikel
Alternativer Titel : PLOS ONE

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Smirnov, Michael S.1, Autor
Evans, Paul R.1, Autor
Garrett, Tavita R.1, Autor
Yan, Long1, Autor
Yasuda, Ryohei1, Autor
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1Max Planck Florida Institute for Neuroscience, Max Planck Society, One Max Planck Way, Jupiter FL 33458, USA, ou_1950288              

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 Zusammenfassung: 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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 Datum: 2017
 Publikationsstatus: Erschienen
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Titel: PLOS ONE
Genre der Quelle: Zeitschrift
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