000892370 001__ 892370
000892370 005__ 20210623131757.0
000892370 0247_ $$2doi$$a10.1038/s41598-021-86092-7
000892370 0247_ $$2Handle$$a2128/27733
000892370 0247_ $$2altmetric$$aaltmetric:103900484
000892370 0247_ $$2pmid$$a33850168
000892370 0247_ $$2WOS$$aWOS:000640611400023
000892370 037__ $$aFZJ-2021-02031
000892370 082__ $$a600
000892370 1001_ $$0P:(DE-HGF)0$$aCostantini, Irene$$b0$$eCorresponding author
000892370 245__ $$aAutofluorescence enhancement for label-free imaging of myelinated fibers in mammalian brains
000892370 260__ $$a[London]$$bMacmillan Publishers Limited, part of Springer Nature$$c2021
000892370 3367_ $$2DRIVER$$aarticle
000892370 3367_ $$2DataCite$$aOutput Types/Journal article
000892370 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1620220403_30363
000892370 3367_ $$2BibTeX$$aARTICLE
000892370 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000892370 3367_ $$00$$2EndNote$$aJournal Article
000892370 520__ $$aAnalyzing 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.
000892370 536__ $$0G:(DE-HGF)POF4-525$$a525 - Decoding Brain Organization and Dysfunction (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000892370 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$x1
000892370 536__ $$0G:(EU-Grant)785907$$aHBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907)$$c785907$$fH2020-SGA-FETFLAG-HBP-2017$$x2
000892370 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000892370 7001_ $$0P:(DE-HGF)0$$aBaria, Enrico$$b1
000892370 7001_ $$0P:(DE-HGF)0$$aSorelli, Michele$$b2
000892370 7001_ $$0P:(DE-Juel1)169807$$aMatuschke, Felix$$b3$$ufzj
000892370 7001_ $$0P:(DE-HGF)0$$aGiardini, Francesco$$b4
000892370 7001_ $$0P:(DE-Juel1)161196$$aMenzel, Miriam$$b5$$ufzj
000892370 7001_ $$0P:(DE-HGF)0$$aMazzamuto, Giacomo$$b6
000892370 7001_ $$0P:(DE-HGF)0$$aSilvestri, Ludovico$$b7
000892370 7001_ $$0P:(DE-HGF)0$$aCicchi, Riccardo$$b8
000892370 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b9$$ufzj
000892370 7001_ $$0P:(DE-Juel1)131632$$aAxer, Markus$$b10$$ufzj
000892370 7001_ $$0P:(DE-HGF)0$$aPavone, Francesco Saverio$$b11
000892370 773__ $$0PERI:(DE-600)2615211-3$$a10.1038/s41598-021-86092-7$$gVol. 11, no. 1, p. 8038$$n1$$p8038$$tScientific reports$$v11$$x2045-2322$$y2021
000892370 8564_ $$uhttps://juser.fz-juelich.de/record/892370/files/s41598-021-86092-7-1.pdf$$yOpenAccess
000892370 909CO $$ooai:juser.fz-juelich.de:892370$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire
000892370 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)169807$$aForschungszentrum Jülich$$b3$$kFZJ
000892370 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)161196$$aForschungszentrum Jülich$$b5$$kFZJ
000892370 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b9$$kFZJ
000892370 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131632$$aForschungszentrum Jülich$$b10$$kFZJ
000892370 9130_ $$0G:(DE-HGF)POF3-571$$1G:(DE-HGF)POF3-570$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lDecoding the Human Brain$$vConnectivity and Activity$$x0
000892370 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
000892370 9141_ $$y2021
000892370 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000892370 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)1040$$2StatID$$aDBCoverage$$bZoological Record$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bSCI REP-UK : 2019$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000892370 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2021-02-03
000892370 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-02-03
000892370 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
000892370 980__ $$ajournal
000892370 980__ $$aVDB
000892370 980__ $$aUNRESTRICTED
000892370 980__ $$aI:(DE-Juel1)INM-1-20090406
000892370 9801_ $$aFullTexts