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Dynamic super-resolution structured illumination imaging in the living brain
Author(s) -
Raphaël Turcotte,
Yajie Liang,
Masashi Tanimoto,
Qinrong Zhang,
Ziwei Li,
Minoru Koyama,
Eric Betzig,
Na Ji
Publication year - 2019
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1819965116
Subject(s) - context (archaeology) , microscopy , resolution (logic) , image resolution , zebrafish , optical imaging , preclinical imaging , light sheet fluorescence microscopy , super resolution microscopy , neuroimaging , optics , computer science , neuroscience , computer vision , in vivo , biological system , biology , artificial intelligence , physics , scanning confocal electron microscopy , paleontology , biochemistry , microbiology and biotechnology , gene
Cells in the brain act as components of extended networks. Therefore, to understand neurobiological processes in a physiological context, it is essential to study them in vivo. Super-resolution microscopy has spatial resolution beyond the diffraction limit, thus promising to provide structural and functional insights that are not accessible with conventional microscopy. However, to apply it to in vivo brain imaging, we must address the challenges of 3D imaging in an optically heterogeneous tissue that is constantly in motion. We optimized image acquisition and reconstruction to combat sample motion and applied adaptive optics to correcting sample-induced optical aberrations in super-resolution structured illumination microscopy (SIM) in vivo. We imaged the brains of live zebrafish larvae and mice and observed the dynamics of dendrites and dendritic spines at nanoscale resolution.

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