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Fast and light-efficient remote focusing for volumetric voltage imaging

Author

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  • Urs L. Böhm

    (Charité – Universitätsmedizin Berlin
    Institute of Psychiatry and Neuroscience of Paris (IPNP))

  • Benjamin Judkewitz

    (Charité – Universitätsmedizin Berlin)

Abstract

Voltage imaging holds great potential for biomedical research by enabling noninvasive recording of the electrical activity of excitable cells such as neurons or cardiomyocytes. Camera-based detection can record from hundreds of cells in parallel, but imaging entire volumes is limited by the need to focus through the sample at high speeds. Remote focusing techniques can remedy this drawback, but have so far been either too slow or light-inefficient. Here, we introduce flipped image remote focusing, a remote focusing method that doubles the light efficiency compared to conventional beamsplitter-based techniques and enables high-speed volumetric voltage imaging at 500 volumes/s. We show the potential of our approach by combining it with light sheet imaging in the zebrafish spinal cord to record from >100 spontaneously active neurons in parallel.

Suggested Citation

  • Urs L. Böhm & Benjamin Judkewitz, 2024. "Fast and light-efficient remote focusing for volumetric voltage imaging," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53685-5
    DOI: 10.1038/s41467-024-53685-5
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    References listed on IDEAS

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    1. Hassan Dibaji & Ali Kazemi Nasaban Shotorban & Rachel M. Grattan & Shayna Lucero & David J. Schodt & Keith A. Lidke & Jonathan Petruccelli & Diane S. Lidke & Sheng Liu & Tonmoy Chakraborty, 2024. "Axial de-scanning using remote focusing in the detection arm of light-sheet microscopy," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Changjia Cai & Johannes Friedrich & Amrita Singh & M Hossein Eybposh & Eftychios A Pnevmatikakis & Kaspar Podgorski & Andrea Giovannucci, 2021. "VolPy: Automated and scalable analysis pipelines for voltage imaging datasets," PLOS Computational Biology, Public Library of Science, vol. 17(4), pages 1-28, April.
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