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@ARTICLE{Costantini:892370,
author = {Costantini, Irene and Baria, Enrico and Sorelli, Michele
and Matuschke, Felix and Giardini, Francesco and Menzel,
Miriam and Mazzamuto, Giacomo and Silvestri, Ludovico and
Cicchi, Riccardo and Amunts, Katrin and Axer, Markus and
Pavone, Francesco Saverio},
title = {{A}utofluorescence enhancement for label-free imaging of
myelinated fibers in mammalian brains},
journal = {Scientific reports},
volume = {11},
number = {1},
issn = {2045-2322},
address = {[London]},
publisher = {Macmillan Publishers Limited, part of Springer Nature},
reportid = {FZJ-2021-02031},
pages = {8038},
year = {2021},
abstract = {Analyzing the structure of neuronal fibers with single axon
resolution in large volumes is a challenge in connectomics.
Different technologies try to address this goal; however,
they are limited either by the ineffective labeling of the
fibers or in the achievable resolution. The possibility of
discriminating between different adjacent myelinated axons
gives the opportunity of providing more information about
the fiber composition and architecture within a specific
area. Here, we propose MAGIC (Myelin Autofluorescence
imaging by Glycerol Induced Contrast enhancement), a tissue
preparation method to perform label-free fluorescence
imaging of myelinated fibers that is user friendly and easy
to handle. We exploit the high axial and radial resolution
of two-photon fluorescence microscopy (TPFM) optical
sectioning to decipher the mixture of various fiber
orientations within the sample of interest. We demonstrate
its broad applicability by performing mesoscopic
reconstruction at a sub-micron resolution of mouse, rat,
monkey, and human brain samples and by quantifying the
different fiber organization in control and Reeler mouse's
hippocampal sections. Our study provides a novel method for
3D label-free imaging of nerve fibers in fixed samples at
high resolution, below micrometer level, that overcomes the
limitation related to the myelinated axons exogenous
labeling, improving the possibility of analyzing brain
connectivity.},
cin = {INM-1},
ddc = {600},
cid = {I:(DE-Juel1)INM-1-20090406},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525) / HBP SGA3 - Human Brain Project Specific Grant
Agreement 3 (945539) / HBP SGA2 - Human Brain Project
Specific Grant Agreement 2 (785907)},
pid = {G:(DE-HGF)POF4-525 / G:(EU-Grant)945539 /
G:(EU-Grant)785907},
typ = {PUB:(DE-HGF)16},
pubmed = {33850168},
UT = {WOS:000640611400023},
doi = {10.1038/s41598-021-86092-7},
url = {https://juser.fz-juelich.de/record/892370},
}