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    All-Optical Methods to Study Neuronal Function

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    Contributor(s)
    Papagiakoumou, Eirini (editor)
    Language
    English
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    Abstract
    This open access volume provides an overview of the latest methods used to study neuronal function with all-optical experimental approaches, where light is used for both stimulation and monitoring of neuronal activity. The chapters in this book cover topics over a broad range, from fundamental background information in both physiology and optics in the context of all-optical neurophysiology experiments, to the design principles and hardware implementation of optical methods used for photoactivation and imaging. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory. Comprehensive and cutting-edge, All-Optical Methods to Study Neuronal Function is a valuable resource for researchers in various disciplines such as physics, engineering, and neuroscience. This book will serve as a guide to establish useful references for groups starting out in this field, and provide insight on the optical systems, actuators, and sensors. This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/61864
    Keywords
    light-microscopy; spatial precision; MNI-glutamate; Ca2+ responses; Computer-Generated Holography (CGH)
    DOI
    10.1007/978-1-0716-2764-8
    ISBN
    9781071627648, 9781071627648
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    New York, NY, 2023
    Imprint
    Humana
    Series
    Neuromethods, 191
    Classification
    Neurosciences
    Pages
    418
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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