Literature DB >> 35415001

Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models.

Matthieu Chourrout1,2, Hugo Rositi3,2, Elodie Ong4,5, Violaine Hubert4, Alexandre Paccalet4, Louis Foucault6, Awen Autret7, Barbara Fayard7, Cécile Olivier8, Radu Bolbos9, Françoise Peyrin8, Claire Crola-da-Silva4, David Meyronet5, Olivier Raineteau6, Héléne Elleaume10, Emmanuel Brun10, Fabien Chauveau1,11,12, Marlene Wiart4,11,12.   

Abstract

White-matter injury leads to severe functional loss in many neurological diseases. Myelin staining on histological samples is the most common technique to investigate white-matter fibers. However, tissue processing and sectioning may affect the reliability of 3D volumetric assessments. The purpose of this study was to propose an approach that enables myelin fibers to be mapped in the whole rodent brain with microscopic resolution and without the need for strenuous staining. With this aim, we coupled in-line (propagation-based) X-ray phase-contrast tomography (XPCT) to ethanol-induced brain sample dehydration. We here provide the proof-of-concept that this approach enhances myelinated axons in rodent and human brain tissue. In addition, we demonstrated that white-matter injuries could be detected and quantified with this approach, using three animal models: ischemic stroke, premature birth and multiple sclerosis. Furthermore, in analogy to diffusion tensor imaging (DTI), we retrieved fiber directions and DTI-like diffusion metrics from our XPCT data to quantitatively characterize white-matter microstructure. Finally, we showed that this non-destructive approach was compatible with subsequent complementary brain sample analysis by conventional histology. In-line XPCT might thus become a novel gold-standard for investigating white-matter injury in the intact brain. This is Part I of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part II shows how in-line XPCT enables the whole-brain 3D morphometric analysis of amyloid- β (A β ) plaques.
© 2022 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35415001      PMCID: PMC8973191          DOI: 10.1364/BOE.438832

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  51 in total

1.  Simultaneous phase and amplitude extraction from a single defocused image of a homogeneous object.

Authors:  D Paganin; S C Mayo; T E Gureyev; P R Miller; S W Wilkins
Journal:  J Microsc       Date:  2002-04       Impact factor: 1.758

Review 2.  X-ray-Based 3D Virtual Histology-Adding the Next Dimension to Histological Analysis.

Authors:  J Albers; S Pacilé; M A Markus; M Wiart; G Vande Velde; G Tromba; C Dullin
Journal:  Mol Imaging Biol       Date:  2018-10       Impact factor: 3.488

3.  Staining and embedding the whole mouse brain for electron microscopy.

Authors:  Shawn Mikula; Jonas Binding; Winfried Denk
Journal:  Nat Methods       Date:  2012-10-21       Impact factor: 28.547

4.  Exploring Alzheimer's disease mouse brain through X-ray phase contrast tomography: From the cell to the organ.

Authors:  Lorenzo Massimi; Inna Bukreeva; Giulia Santamaria; Michela Fratini; Alessandro Corbelli; Francesco Brun; Stefano Fumagalli; Laura Maugeri; Alexandra Pacureanu; Peter Cloetens; Nicola Pieroni; Fabio Fiordaliso; Gianluigi Forloni; Antonio Uccelli; Nicole Kerlero de Rosbo; Claudia Balducci; Alessia Cedola
Journal:  Neuroimage       Date:  2018-09-18       Impact factor: 6.556

5.  3D virtual histology of murine kidneys -high resolution visualization of pathological alterations by micro computed tomography.

Authors:  Jeannine Missbach-Guentner; Diana Pinkert-Leetsch; Christian Dullin; Roser Ufartes; Daniel Hornung; Bjoern Tampe; Michael Zeisberg; Frauke Alves
Journal:  Sci Rep       Date:  2018-01-23       Impact factor: 4.379

6.  Three-dimensional mouse brain cytoarchitecture revealed by laboratory-based x-ray phase-contrast tomography.

Authors:  Mareike Töpperwien; Martin Krenkel; Daniel Vincenz; Franziska Stöber; Anja M Oelschlegel; Jürgen Goldschmidt; Tim Salditt
Journal:  Sci Rep       Date:  2017-02-27       Impact factor: 4.379

Review 7.  Current Clinical Applications of Diffusion-Tensor Imaging in Neurological Disorders.

Authors:  Woo Suk Tae; Byung Joo Ham; Sung Bom Pyun; Shin Hyuk Kang; Byung Jo Kim
Journal:  J Clin Neurol       Date:  2018-02-28       Impact factor: 3.077

8.  Axon morphology is modulated by the local environment and impacts the noninvasive investigation of its structure-function relationship.

Authors:  Mariam Andersson; Hans Martin Kjer; Jonathan Rafael-Patino; Alexandra Pacureanu; Bente Pakkenberg; Jean-Philippe Thiran; Maurice Ptito; Martin Bech; Anders Bjorholm Dahl; Vedrana Andersen Dahl; Tim B Dyrby
Journal:  Proc Natl Acad Sci U S A       Date:  2020-12-21       Impact factor: 12.779

9.  Structural and molecular interrogation of intact biological systems.

Authors:  Kwanghun Chung; Jenelle Wallace; Sung-Yon Kim; Sandhiya Kalyanasundaram; Aaron S Andalman; Thomas J Davidson; Julie J Mirzabekov; Kelly A Zalocusky; Joanna Mattis; Aleksandra K Denisin; Sally Pak; Hannah Bernstein; Charu Ramakrishnan; Logan Grosenick; Viviana Gradinaru; Karl Deisseroth
Journal:  Nature       Date:  2013-04-10       Impact factor: 49.962

10.  High-resolution short-exposure small-animal laboratory x-ray phase-contrast tomography.

Authors:  Daniel H Larsson; William Vågberg; Andre Yaroshenko; Ali Önder Yildirim; Hans M Hertz
Journal:  Sci Rep       Date:  2016-12-13       Impact factor: 4.379

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