Fast optical recording of neuronal activity by three-dimensional custom-access serial holography

Optical recording of neuronal activity in three-dimensional (3D) brain circuits at cellular and millisecond resolution in vivo is essential for probing information flow in the brain. While random-access multiphoton microscopy permits fast optical access to neuronal targets in three dimensions, the m...

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Veröffentlicht in:Nature methods 2022-01, Vol.19 (1), p.100-110
Hauptverfasser: Akemann, Walther, Wolf, Sébastien, Villette, Vincent, Mathieu, Benjamin, Tangara, Astou, Fodor, Jozsua, Ventalon, Cathie, Léger, Jean-François, Dieudonné, Stéphane, Bourdieu, Laurent
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Sprache:eng
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Zusammenfassung:Optical recording of neuronal activity in three-dimensional (3D) brain circuits at cellular and millisecond resolution in vivo is essential for probing information flow in the brain. While random-access multiphoton microscopy permits fast optical access to neuronal targets in three dimensions, the method is challenged by motion artifacts when recording from behaving animals. Therefore, we developed three-dimensional custom-access serial holography (3D-CASH). Built on a fast acousto-optic light modulator, 3D-CASH performs serial sampling at 40 kHz from neurons at freely selectable 3D locations. Motion artifacts are eliminated by targeting each neuron with a size-optimized pattern of excitation light covering the cell body and its anticipated displacement field. Spike rates inferred from GCaMP6f recordings in visual cortex of awake mice tracked the phase of a moving bar stimulus with higher spike correlation between intra compared to interlaminar neuron pairs. 3D-CASH offers access to the millisecond correlation structure of in vivo neuronal activity in 3D microcircuits. 3D-CASH is a random-access microscopy approach that avoids in vivo motion artifacts by sampling each targeted neuron with a holographically shaped grid of illumination spots. The technology allows recording neuronal activity in the mouse cortex at a throughput of 20,000 neurons per second.
ISSN:1548-7091
1548-7105
DOI:10.1038/s41592-021-01329-7