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Laser scanning reflection-matrix microscopy for aberration-free imaging through intact mouse skull

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  • Seokchan Yoon

    (Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
    Korea University)

  • Hojun Lee

    (Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
    Korea University)

  • Jin Hee Hong

    (Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
    Korea University)

  • Yong-Sik Lim

    (Department of Nano Science and Mechanical Engineering and Nanotechnology Research Center, Konkuk University)

  • Wonshik Choi

    (Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
    Korea University)

Abstract

A mouse skull is a barrier for high-resolution optical imaging because its thick and inhomogeneous internal structures induce complex aberrations varying drastically from position to position. Invasive procedures creating either thinned-skull or open-skull windows are often required for the microscopic imaging of brain tissues underneath. Here, we propose a label-free imaging modality termed laser scanning reflection-matrix microscopy for recording the amplitude and phase maps of reflected waves at non-confocal points as well as confocal points. The proposed method enables us to find and computationally correct up to 10,000 angular modes of aberrations varying at every 10 × 10 µm2 patch in the sample plane. We realized reflectance imaging of myelinated axons in vivo underneath an intact mouse skull, with an ideal diffraction-limited spatial resolution of 450 nm. Furthermore, we demonstrated through-skull two-photon fluorescence imaging of neuronal dendrites and their spines by physically correcting the aberrations identified from the reflection matrix.

Suggested Citation

  • Seokchan Yoon & Hojun Lee & Jin Hee Hong & Yong-Sik Lim & Wonshik Choi, 2020. "Laser scanning reflection-matrix microscopy for aberration-free imaging through intact mouse skull," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19550-x
    DOI: 10.1038/s41467-020-19550-x
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    Cited by:

    1. Sungsam Kang & Yongwoo Kwon & Hojun Lee & Seho Kim & Jin Hee Hong & Seokchan Yoon & Wonshik Choi, 2023. "Tracing multiple scattering trajectories for deep optical imaging in scattering media," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Ulysse Najar & Victor Barolle & Paul Balondrade & Mathias Fink & Claude Boccara & Alexandre Aubry, 2024. "Harnessing forward multiple scattering for optical imaging deep inside an opaque medium," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    3. Flavien Bureau & Justine Robin & Arthur Ber & William Lambert & Mathias Fink & Alexandre Aubry, 2023. "Three-dimensional ultrasound matrix imaging," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Chung Il Park & Seungah Choe & Woorim Lee & Wonjae Choi & Miso Kim & Hong Min Seung & Yoon Young Kim, 2023. "Ultrasonic barrier-through imaging by Fabry-Perot resonance-tailoring panel," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Sanghyeon Park & Yonghyeon Jo & Minsu Kang & Jin Hee Hong & Sangyoon Ko & Suhyun Kim & Sangjun Park & Hae Chul Park & Sang-Hee Shim & Wonshik Choi, 2023. "Label-free adaptive optics single-molecule localization microscopy for whole zebrafish," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    6. Jung Min Lee & Young-Woo Pyo & Yeon Jun Kim & Jin Hee Hong & Yonghyeon Jo & Wonshik Choi & Dingchang Lin & Hong-Gyu Park, 2023. "The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.

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