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

Seokchan Yoon, Hojun Lee, Jin Hee Hong, Yong-Sik Lim and Wonshik Choi ()
Additional contact information
Seokchan Yoon: Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
Hojun Lee: Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
Jin Hee Hong: Center for Molecular Spectroscopy and Dynamics, Institute for Basic Science
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

Nature Communications, 2020, vol. 11, issue 1, 1-12

Abstract: 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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.nature.com/articles/s41467-020-19550-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19550-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-020-19550-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().