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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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