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Chourrout M, Sandt C, Weitkamp T, Dučić T, Meyronet D, Baron T, Klohs J, Rama N, Boutin H, Singh S, Olivier C, Wiart M, Brun E, Bohic S, Chauveau F. Virtual histology of Alzheimer's disease: Biometal entrapment within amyloid-β plaques allows for detection via X-ray phase-contrast imaging. Acta Biomater 2023; 170:260-272. [PMID: 37574159 DOI: 10.1016/j.actbio.2023.07.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 07/21/2023] [Accepted: 07/25/2023] [Indexed: 08/15/2023]
Abstract
Amyloid-β (Aβ) plaques from Alzheimer's Disease (AD) can be visualized ex vivo in label-free brain samples using synchrotron X-ray phase-contrast tomography (XPCT). However, for XPCT to be useful as a screening method for amyloid pathology, it is essential to understand which factors drive the detection of Aβ plaques. The current study was designed to test the hypothesis that Aβ-related contrast in XPCT could be caused by Aβ fibrils and/or by metals trapped in the plaques. Fibrillar and elemental compositions of Aβ plaques were probed in brain samples from different types of AD patients and AD models to establish a relationship between XPCT contrast and Aβ plaque characteristics. XPCT, micro-Fourier-Transform Infrared spectroscopy and micro-X-Ray Fluorescence spectroscopy were conducted on human samples (one genetic and one sporadic case) and on four transgenic rodent strains (mouse: APPPS1, ArcAβ, J20; rat: TgF344). Aβ plaques from the genetic AD patient were visible using XPCT, and had higher β-sheet content and higher metal levels than those from the sporadic AD patient, which remained undetected by XPCT. Aβ plaques in J20 mice and TgF344 rats appeared hyperdense on XPCT images, while they were hypodense with a hyperdense core in the case of APPPS1 and ArcAβ mice. In all four transgenic strains, β-sheet content was similar, while metal levels were highly variable: J20 (zinc and iron) and TgF344 (copper) strains showed greater metal accumulation than APPPS1 and ArcAβ mice. Hence, a hyperdense contrast formation of Aβ plaques in XPCT images was associated with biometal entrapment within plaques. STATEMENT OF SIGNIFICANCE: The role of metals in Alzheimer's disease (AD) has been a subject of continuous interest. It was already known that amyloid-β plaques (Aβ), the earliest hallmark of AD, tend to trap endogenous biometals like zinc, iron and copper. Here we show that this metal accumulation is the main reason why Aβ plaques are detected with a new technique called X-ray phase contrast tomography (XPCT). XPCT enables to map the distribution of Aβ plaques in the whole excised brain without labeling. In this work we describe a unique collection of four transgenic models of AD, together with a human sporadic and a rare genetic case of AD, thus exploring the full spectrum of amyloid contrast in XPCT.
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Affiliation(s)
- Matthieu Chourrout
- Univ. Lyon, Lyon Neuroscience Research Center (CRNL); CNRS UMR5292; INSERM U1028, Univ. Lyon 1, Lyon, France
| | | | | | - Tanja Dučić
- ALBA-CELLS Synchrotron, MIRAS Beamline, Cerdanyola del Vallès, Spain
| | - David Meyronet
- Hospices Civils de Lyon, Neuropathology Department, Lyon, France; Univ. Lyon, Cancer Research Center of Lyon (CRCL); INSERM U1052; CNRS UMR5286, Univ. Lyon 1; Centre Léon Bérard, Lyon, France
| | | | - Jan Klohs
- ETH Zurich, Institute for Biomedical Engineering, Zurich, Switzerland
| | - Nicolas Rama
- Univ. Lyon, Cancer Research Center of Lyon (CRCL); INSERM U1052; CNRS UMR5286, Univ. Lyon 1; Centre Léon Bérard, Lyon, France
| | - Hervé Boutin
- Univ. Manchester, Faculty of Biology Medicine and Health, Wolfson Molecular Imaging Centre, Manchester, United Kingdom
| | - Shifali Singh
- Univ. Grenoble Alpes, Synchrotron Radiation for Biomedicine (STROBE); Inserm UA7, Grenoble, France
| | - Cécile Olivier
- Univ. Grenoble Alpes, Synchrotron Radiation for Biomedicine (STROBE); Inserm UA7, Grenoble, France
| | - Marlène Wiart
- Univ. Lyon, CarMeN Laboratory; INSERM U1060, INRA U1397, INSA Lyon, Univ. Lyon 1, Lyon, France; CNRS, France
| | - Emmanuel Brun
- Univ. Grenoble Alpes, Synchrotron Radiation for Biomedicine (STROBE); Inserm UA7, Grenoble, France
| | - Sylvain Bohic
- Univ. Grenoble Alpes, Synchrotron Radiation for Biomedicine (STROBE); Inserm UA7, Grenoble, France
| | - Fabien Chauveau
- Univ. Lyon, Lyon Neuroscience Research Center (CRNL); CNRS UMR5292; INSERM U1028, Univ. Lyon 1, Lyon, France; CNRS, France.
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2
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Bukreeva I, Gulimova VI, Krivonosov YS, Buzmakov AV, Junemann O, Cedola A, Fratini M, Maugeri L, Begani Provinciali G, Palermo F, Sanna A, Pieroni N, Asadchikov VE, Saveliev SV. The Study of the Caudal Vertebrae of Thick-Toed Geckos after a Prolonged Space Flight by X-ray Phase-Contrast Micro-CT. Cells 2023; 12:2415. [PMID: 37830629 PMCID: PMC10572532 DOI: 10.3390/cells12192415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/14/2023] [Accepted: 09/15/2023] [Indexed: 10/14/2023] Open
Abstract
The proximal caudal vertebrae and notochord in thick-toed geckos (TG) (Chondrodactylus turneri, Gray, 1864) were investigated after a 30-day space flight onboard the biosatellite Bion-M1. This region has not been explored in previous studies. Our research focused on finding sites most affected by demineralization caused by microgravity (G0). We used X-ray phase-contrast tomography to study TG samples without invasive prior preparation to clarify our previous findings on the resistance of TG's bones to demineralization in G0. The results of the present study confirmed that geckos are capable of preserving bone mass after flight, as neither cortical nor trabecular bone volume fraction showed statistically significant changes after flight. On the other hand, we observed a clear decrease in the mineralization of the notochordal septum and a substantial rise in intercentrum volume following the flight. To monitor TG's mineral metabolism in G0, we propose to measure the volume of mineralized tissue in the notochordal septum. This technique holds promise as a sensitive approach to track the demineralization process in G0, given that the volume of calcification within the septum is limited, making it easy to detect even slight changes in mineral content.
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Affiliation(s)
- Inna Bukreeva
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
- P.N. Lebedev Physical Institute Russian Academy of Sciences, Leninskiy Prospekt 53, 119991 Moscow, Russia
| | - Victoria I. Gulimova
- Avtsyn Research Institute of Human Morphology of Federal State Budgetary Scientific Institution, “Petrovsky National Research Centre of Surgery”, Tsyurupy Str. 3, 117418 Moscow, Russia;
| | - Yuri S. Krivonosov
- Federal Scientific Research Centre “Crystallography and Photonics”, Russian Academy of Sciences, Leninskiy Prospekt 59, 119333 Moscow, Russia (V.E.A.)
| | - Alexey V. Buzmakov
- Federal Scientific Research Centre “Crystallography and Photonics”, Russian Academy of Sciences, Leninskiy Prospekt 59, 119333 Moscow, Russia (V.E.A.)
| | - Olga Junemann
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
- Avtsyn Research Institute of Human Morphology of Federal State Budgetary Scientific Institution, “Petrovsky National Research Centre of Surgery”, Tsyurupy Str. 3, 117418 Moscow, Russia;
| | - Alessia Cedola
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
| | - Michela Fratini
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
- IRCCS Fondazione Santa Lucia, Via Ardeatina 306/354, 00142 Roma, Italy
| | - Laura Maugeri
- IRCCS Fondazione Santa Lucia, Via Ardeatina 306/354, 00142 Roma, Italy
| | - Ginevra Begani Provinciali
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
- Physics Department, ‘Sapienza’ University, Piazzale Aldo Moro 2, 00185 Rome, Italy
- Laboratoire d’Optique Appliquée, CNRS, ENSTA Paris, Ecole Polytechnique IP Paris, 91120 Palaiseau, France
| | - Francesca Palermo
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
| | - Alessia Sanna
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
| | - Nicola Pieroni
- Institute of Nanotechnology, CNR, Rome Unit, Piazzale Aldo Moro 5, 00185 Rome, Italy; (I.B.); (O.J.); (A.C.); (M.F.)
| | - Victor E. Asadchikov
- Federal Scientific Research Centre “Crystallography and Photonics”, Russian Academy of Sciences, Leninskiy Prospekt 59, 119333 Moscow, Russia (V.E.A.)
| | - Sergey V. Saveliev
- Avtsyn Research Institute of Human Morphology of Federal State Budgetary Scientific Institution, “Petrovsky National Research Centre of Surgery”, Tsyurupy Str. 3, 117418 Moscow, Russia;
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3
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Jobim PFC, Iochims Dos Santos CE, Dias JF, Kelemen M, Pelicon P, Mikuš KV, Pascolo L, Gianoncelli A, Bedolla DE, Rasia-Filho AA. Human Neocortex Layer Features Evaluated by PIXE, STIM, and STXM Techniques. Biol Trace Elem Res 2023; 201:592-602. [PMID: 35258774 DOI: 10.1007/s12011-022-03182-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 02/21/2022] [Indexed: 01/21/2023]
Abstract
The human neocortex has a cytoarchitecture composed of six layers with an intrinsic organization that relates to afferent and efferent pathways for a high functional specialization. Various histological, neurochemical, and connectional techniques have been used to study these cortical layers. Here, we explore the additional possibilities of swift ion beam and synchrotron radiation techniques to distinguish cellular layers based on the elemental distributions and areal density pattern in the human neocortex. Temporal cortex samples were obtained from two neurologically normal adult men (postmortem interval: 6-12 h). A cortical area of 500 × 500 μm2 was scanned by a 3 MeV proton beam for elemental composition and areal density measurements using particle induced x-ray emission (PIXE) and scanning transmission ion microscopy (STIM), respectively. Zinc showed higher values in cortical layers II and V, which needs a critical discussion. Furthermore, the areal density decreased in regions with a higher density of pyramidal neurons in layers III and V. Scanning transmission X-ray microscopy (STXM) revealed the cellular density with higher lateral resolution than STIM, but not enough to distinguish each cortical lamination border. Our data describe the practical results of these approaches employing both X-ray and ion-beam based techniques for the human cerebral cortex and its heterogeneous layers. These results add to the potential approaches and knowledge of the human neocortical gray matter in normal tissue to develop improvements and address further studies on pathological conditions.
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Affiliation(s)
- Paulo Fernandes Costa Jobim
- Department of Basic Sciences/Physiology, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil.
| | | | - Johnny Ferraz Dias
- Ion Implantation Laboratory, Physics Institute, Federal University of Rio Grande Do Sul, Porto Alegre, RS, Brazil
| | | | | | - Katarina Vogel Mikuš
- Jožef Stefan Institute, Ljubljana, Slovenia
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
| | - Lorella Pascolo
- Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste, Italy
| | | | - Diana Eva Bedolla
- Elettra Sincrotrone Trieste, Area Science Park, Basovizza, Trieste, Italy
| | - Alberto Antônio Rasia-Filho
- Department of Basic Sciences/Physiology, Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil.
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4
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Barbone GE, Bravin A, Mittone A, Pacureanu A, Mascio G, Di Pietro P, Kraiger MJ, Eckermann M, Romano M, Hrabě de Angelis M, Cloetens P, Bruno V, Battaglia G, Coan P. X-ray multiscale 3D neuroimaging to quantify cellular aging and neurodegeneration postmortem in a model of Alzheimer’s disease. Eur J Nucl Med Mol Imaging 2022; 49:4338-4357. [PMID: 35852558 PMCID: PMC9606093 DOI: 10.1007/s00259-022-05896-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Accepted: 06/25/2022] [Indexed: 01/19/2023]
Abstract
Abstract
Purpose
Modern neuroimaging lacks the tools necessary for whole-brain, anatomically dense neuronal damage screening. An ideal approach would include unbiased histopathologic identification of aging and neurodegenerative disease.
Methods
We report the postmortem application of multiscale X-ray phase-contrast computed tomography (X-PCI-CT) for the label-free and dissection-free organ-level to intracellular-level 3D visualization of distinct single neurons and glia. In deep neuronal populations in the brain of aged wild-type and of 3xTgAD mice (a triply-transgenic model of Alzheimer’s disease), we quantified intracellular hyperdensity, a manifestation of aging or neurodegeneration.
Results
In 3xTgAD mice, the observed hyperdensity was identified as amyloid-β and hyper-phosphorylated tau protein deposits with calcium and iron involvement, by correlating the X-PCI-CT data to immunohistochemistry, X-ray fluorescence microscopy, high-field MRI, and TEM. As a proof-of-concept, X-PCI-CT was used to analyze hippocampal and cortical brain regions of 3xTgAD mice treated with LY379268, selective agonist of group II metabotropic glutamate receptors (mGlu2/3 receptors). Chronic pharmacologic activation of mGlu2/3 receptors significantly reduced the hyperdensity particle load in the ventral cortical regions of 3xTgAD mice, suggesting a neuroprotective effect with locoregional efficacy.
Conclusions
This multiscale micro-to-nano 3D imaging method based on X-PCI-CT enabled identification and quantification of cellular and sub-cellular aging and neurodegeneration in deep neuronal and glial cell populations in a transgenic model of Alzheimer’s disease. This approach quantified the localized and intracellular neuroprotective effects of pharmacological activation of mGlu2/3 receptors.
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5
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Xian RP, Walsh CL, Verleden SE, Wagner WL, Bellier A, Marussi S, Ackermann M, Jonigk DD, Jacob J, Lee PD, Tafforeau P. A multiscale X-ray phase-contrast tomography dataset of a whole human left lung. Sci Data 2022; 9:264. [PMID: 35654864 PMCID: PMC9163096 DOI: 10.1038/s41597-022-01353-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 05/03/2022] [Indexed: 11/09/2022] Open
Abstract
Technological advancements in X-ray imaging using bright and coherent synchrotron sources now allows the decoupling of sample size and resolution while maintaining high sensitivity to the microstructures of soft, partially dehydrated tissues. The continuous developments in multiscale X-ray imaging resulted in hierarchical phase-contrast tomography, a comprehensive approach to address the challenge of organ-scale (up to tens of centimeters) soft tissue imaging with resolution and sensitivity down to the cellular level. Using this technique, we imaged ex vivo an entire human left lung at an isotropic voxel size of 25.08 μm along with local zooms down to 6.05-6.5 μm and 2.45-2.5 μm in voxel size. The high tissue contrast offered by the fourth-generation synchrotron source at the European Synchrotron Radiation Facility reveals the complex multiscale anatomical constitution of the human lung from the macroscopic (centimeter) down to the microscopic (micrometer) scale. The dataset provides comprehensive organ-scale 3D information of the secondary pulmonary lobules and delineates the microstructure of lung nodules with unprecedented detail.
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Affiliation(s)
- R Patrick Xian
- Department of Mechanical Engineering, University College London, London, UK.
| | - Claire L Walsh
- Department of Mechanical Engineering, University College London, London, UK
| | - Stijn E Verleden
- Antwerp Surgical Training, Anatomy and Research Centre (ASTARC), University of Antwerp, Wilrijk, Belgium
| | - Willi L Wagner
- Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany
- Translational Lung Research Centre Heidelberg (TLRC), German Lung Research Centre (DZL), Heidelberg, Germany
| | - Alexandre Bellier
- Laboratoire d'Anatomie des Alpes Françaises (LADAF), Université Grenoble Alpes, Grenoble, France
| | - Sebastian Marussi
- Department of Mechanical Engineering, University College London, London, UK
| | - Maximilian Ackermann
- Institute of Pathology and Molecular Pathology, Helios University Clinic Wuppertal, University of Witten/Herdecke, Wuppertal, Germany
- Institute of Functional and Clinical Anatomy, University Medical Center of the Johannes Gutenberg-University Mainz, Mainz, Germany
| | - Danny D Jonigk
- Institute of Pathology, Hannover Medical School, Hannover, Germany
- Biomedical Research in End-stage and Obstructive Lung Disease Hannover (BREATH), German Lung Research Centre (DZL), Hannover, Germany
| | - Joseph Jacob
- Centre for Medical Image Computing, University College London, London, UK
- Department of Radiology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Peter D Lee
- Department of Mechanical Engineering, University College London, London, UK.
| | - Paul Tafforeau
- European Synchrotron Radiation Facility, Grenoble, France.
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6
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Chourrout M, Rositi H, Ong E, Hubert V, Paccalet A, Foucault L, Autret A, Fayard B, Olivier C, Bolbos R, Peyrin F, Crola-da-Silva C, Meyronet D, Raineteau O, Elleaume H, Brun E, Chauveau F, Wiart M. Brain virtual histology with X-ray phase-contrast tomography Part I: whole-brain myelin mapping in white-matter injury models. BIOMEDICAL OPTICS EXPRESS 2022; 13:1620-1639. [PMID: 35415001 PMCID: PMC8973191 DOI: 10.1364/boe.438832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/08/2021] [Accepted: 11/02/2021] [Indexed: 06/14/2023]
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.
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Affiliation(s)
- Matthieu Chourrout
- Univ-Lyon, Lyon Neuroscience
Research Center, CNRS UMR5292, Inserm U1028,
Université Claude Bernard Lyon 1, Lyon, France
- Co-first authors
| | - Hugo Rositi
- Univ-Clermont Auvergne; CNRS;
SIGMA Clermont; Institut Pascal,
Clermont-Ferrand, France
- Co-first authors
| | - Elodie Ong
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
- Univ-Lyon, Hospices Civils de
Lyon, Lyon, France
| | - Violaine Hubert
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | - Alexandre Paccalet
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | - Louis Foucault
- Univ-Lyon, Université
Claude Bernard Lyon 1, Inserm, Stem Cell and Brain
Research Institute U1208, 69500 Bron, France
| | | | | | - Cécile Olivier
- Univ-Lyon, INSA-Lyon,
Université Claude Bernard Lyon 1,
CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France
| | | | - Françoise Peyrin
- Univ-Lyon, INSA-Lyon,
Université Claude Bernard Lyon 1,
CNRS, Inserm, CREATIS UMR5220, U1206, F-69621, France
| | - Claire Crola-da-Silva
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
| | | | - Olivier Raineteau
- Univ-Lyon, Université
Claude Bernard Lyon 1, Inserm, Stem Cell and Brain
Research Institute U1208, 69500 Bron, France
| | - Héléne Elleaume
- Université Grenoble
Alpes, Inserm UA7 Strobe, Grenoble, France
| | - Emmanuel Brun
- Université Grenoble
Alpes, Inserm UA7 Strobe, Grenoble, France
| | - Fabien Chauveau
- Univ-Lyon, Lyon Neuroscience
Research Center, CNRS UMR5292, Inserm U1028,
Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Lyon,
France
- Co-last authors
| | - Marlene Wiart
- Univ-Lyon, CarMeN
laboratory, Inserm U1060, INRA U1397, Université
Claude Bernard Lyon 1, INSA Lyon, Charles Mérieux Medical
School, F-69600, Oullins, France
- CNRS, Lyon,
France
- Co-last authors
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7
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Chourrout M, Roux M, Boisvert C, Gislard C, Legland D, Arganda-Carreras I, Olivier C, Peyrin F, Boutin H, Rama N, Baron T, Meyronet D, Brun E, Rositi H, Wiart M, Chauveau F. Brain virtual histology with X-ray phase-contrast tomography Part II:3D morphologies of amyloid- β plaques in Alzheimer's disease models. BIOMEDICAL OPTICS EXPRESS 2022; 13:1640-1653. [PMID: 35414980 PMCID: PMC8973161 DOI: 10.1364/boe.438890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Revised: 10/08/2021] [Accepted: 10/12/2021] [Indexed: 05/15/2023]
Abstract
While numerous transgenic mouse strains have been produced to model the formation of amyloid-β (Aβ) plaques in the brain, efficient methods for whole-brain 3D analysis of Aβ deposits have to be validated and standardized. Moreover, routine immunohistochemistry performed on brain slices precludes any shape analysis of Aβ plaques, or require complex procedures for serial acquisition and reconstruction. The present study shows how in-line (propagation-based) X-ray phase-contrast tomography (XPCT) combined with ethanol-induced brain sample dehydration enables hippocampus-wide detection and morphometric analysis of Aβ plaques. Performed in three distinct Alzheimer mouse strains, the proposed workflow identified differences in signal intensity and 3D shape parameters: 3xTg displayed a different type of Aβ plaques, with a larger volume and area, greater elongation, flatness and mean breadth, and more intense average signal than J20 and APP/PS1. As a label-free non-destructive technique, XPCT can be combined with standard immunohistochemistry. XPCT virtual histology could thus become instrumental in quantifying the 3D spreading and the morphological impact of seeding when studying prion-like properties of Aβ aggregates in animal models of Alzheimer's disease. This is Part II of a series of two articles reporting the value of in-line XPCT for virtual histology of the brain; Part I shows how in-line XPCT enables 3D myelin mapping in the whole rodent brain and in human autopsy brain tissue.
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Affiliation(s)
- Matthieu Chourrout
- Univ. Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France
| | - Margaux Roux
- Univ. Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France
| | - Carlie Boisvert
- Univ. Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France
- Current affiliation: Faculty of Medicine, The Ottawa Hospital and University of Ottawa, Ottawa, Ontario, Canada
| | - Coralie Gislard
- Univ. Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France
| | | | - Ignacio Arganda-Carreras
- University of the Basque Country (UPV/EHU), San Sebastian, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
- Donostia International Physics Center (DIPC), San Sebastian, Spain
| | - Cécile Olivier
- Univ. Lyon, CREATIS; CNRS UMR5220; INSERM U1044; INSA-Lyon; Univ. Lyon 1, Lyon, France
| | - Françoise Peyrin
- Univ. Lyon, CREATIS; CNRS UMR5220; INSERM U1044; INSA-Lyon; Univ. Lyon 1, Lyon, France
| | - Hervé Boutin
- Univ. Manchester, Faculty of Biology Medicine and Health, Wolfson Molecular Imaging Centre, Manchester, UK
| | - Nicolas Rama
- Univ. Lyon, CRCL; INSERM U1052; CNRS UMR5286; Univ. Lyon 1; Centre Léon Bérard, Lyon, France
| | | | | | - Emmanuel Brun
- Univ. Grenoble Alpes, Inserm UA07 Strobe Grenoble, France
| | - Hugo Rositi
- Univ. Clermont Auvergne, Institut Pascal; CNRS UMR 6602; SIGMA Clermont, Clermont-Ferrand, France
| | - Marlène Wiart
- Univ. Lyon, CarMeN Laboratory; INSERM U1060; INRA U1397; Hospices Civils de Lyon, Lyon, France
- CNRS, Lyon, France
- These authors contributed equally to this work
| | - Fabien Chauveau
- Univ. Lyon, Lyon Neuroscience Research Center, CNRS UMR5292, Inserm U1028, Université Claude Bernard Lyon 1, Lyon, France
- CNRS, Lyon, France
- These authors contributed equally to this work
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8
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Eckermann M, van der Meer F, Cloetens P, Ruhwedel T, Möbius W, Stadelmann C, Salditt T. Three-dimensional virtual histology of the cerebral cortex based on phase-contrast X-ray tomography. BIOMEDICAL OPTICS EXPRESS 2021; 12:7582-7598. [PMID: 35003854 PMCID: PMC8713656 DOI: 10.1364/boe.434885] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 10/05/2021] [Accepted: 10/06/2021] [Indexed: 05/09/2023]
Abstract
In this work, we optimize the setups and experimental parameters of X-ray phase-contrast computed-tomography for the three-dimensional imaging of the cyto- and myeloarchitecture of cerebral cortex, including both human and murine tissue. We present examples for different optical configurations using state-of-the art synchrotron instruments for holographic tomography, as well as compact laboratory setups for phase-contrast tomography in the direct contrast (edge-enhancement) regime. Apart from unstained and paraffin-embedded tissue, we tested hydrated tissue, as well as heavy metal stained and resin-embedded tissue using two different protocols. Further, we show that the image quality achieved allows to assess the neuropathology of multiple sclerosis in a biopsy sample collected during surgery.
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Affiliation(s)
- Marina Eckermann
- Institut für Röntgenphysik, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany
| | | | - Peter Cloetens
- ESRF, the European Synchrotron, 71, avenue des Martyrs, 38043 Grenoble Cedex 9, France
| | - Torben Ruhwedel
- Max-Planck-Institut für experimentelle Medizin, Hermann-Rein-Straße 3, 37075 Göttingen, Germany
| | - Wiebke Möbius
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany
- Max-Planck-Institut für experimentelle Medizin, Hermann-Rein-Straße 3, 37075 Göttingen, Germany
| | - Christine Stadelmann
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany
- Institut für Neuropathologie, Robert-Koch-Straße 40, 37075 Göttingen, Germany
| | - Tim Salditt
- Institut für Röntgenphysik, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany
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9
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Virtual histology of an entire mouse brain from formalin fixation to paraffin embedding. Part 1: Data acquisition, anatomical feature segmentation, tracking global volume and density changes. J Neurosci Methods 2021; 364:109354. [PMID: 34529981 DOI: 10.1016/j.jneumeth.2021.109354] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/01/2021] [Accepted: 09/04/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Micrometer-resolution neuroimaging with gold-standard conventional histology requires tissue fixation and embedding. The exchange of solvents for the creation of sectionable paraffin blocks modifies tissue density and generates non-uniform brain shrinkage. NEW METHOD We employed synchrotron radiation-based X-ray microtomography for slicing- and label-free virtual histology of the mouse brain at different stages of the standard preparation protocol from formalin fixation via ascending ethanol solutions and xylene to paraffin embedding. Segmentation of anatomical regions allowed us to quantify non-uniform tissue shrinkage. Global and local changes in X-ray absorption gave insight into contrast enhancement for virtual histology. RESULTS The volume of the entire mouse brain was 60%, 56%, and 40% of that in formalin for, respectively, 100% ethanol, xylene, and paraffin. The volume changes of anatomical regions such as the hippocampus, anterior commissure, and ventricles differ from the global volume change. X-ray absorption of the full brain decreased, while local absorption differences increased, resulting in enhanced contrast for virtual histology. These trends were also observed with laboratory microtomography measurements. COMPARISON WITH EXISTING METHODS Microtomography provided sub-10 μm spatial resolution with sufficient density resolution to resolve anatomical structures at each step of the embedding protocol. The spatial resolution of conventional computed tomography and magnetic resonance microscopy is an order of magnitude lower and both do not match the contrast of microtomography over the entire embedding protocol. Unlike feature-to-feature or total volume measurements, our approach allows for calculation of volume change based on segmentation. CONCLUSION We present isotropic micrometer-resolution imaging to quantify morphology and composition changes in a mouse brain during the standard histological preparation. The proposed method can be employed to identify the most appropriate embedding medium for anatomical feature visualization, to reveal the basis for the dramatic X-ray contrast enhancement observed in numerous embedded tissues, and to quantify morphological changes during tissue fixation and embedding.
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10
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Three-dimensional virtual histology of the human hippocampus based on phase-contrast computed tomography. Proc Natl Acad Sci U S A 2021; 118:2113835118. [PMID: 34819378 PMCID: PMC8640721 DOI: 10.1073/pnas.2113835118] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/01/2021] [Indexed: 12/17/2022] Open
Abstract
We demonstrate multiscale phase-contrast X-ray computed tomography (CT) of postmortem human brain tissue. Large tissue volumes can be covered by parallel-beam CT and combined with subcellular detail for selected regions scanned at high magnification. This has been repeated identically for a larger number of individuals, including both Alzheimer’s-diseased patients and a control group. Optimized phase retrieval, followed by automated segmentation based on machine learning, as well as feature identification and classification based on optimal transport theory, indicates a pathway from healthy to pathological structure without prior hypothesis. This study provides a blueprint for studying the cytoarchitecture of the human brain and its alterations associated with neurodegenerative diseases. We have studied the three-dimensional (3D) cytoarchitecture of the human hippocampus in neuropathologically healthy and Alzheimer’s disease (AD) individuals, based on phase-contrast X-ray computed tomography of postmortem human tissue punch biopsies. In view of recent findings suggesting a nuclear origin of AD, we target in particular the nuclear structure of the dentate gyrus (DG) granule cells. Tissue samples of 20 individuals were scanned and evaluated using a highly automated approach of measurement and analysis, combining multiscale recordings, optimized phase retrieval, segmentation by machine learning, representation of structural properties in a feature space, and classification based on the theory of optimal transport. Accordingly, we find that the prototypical transformation between a structure representing healthy granule cells and the pathological state involves a decrease in the volume of granule cell nuclei, as well as an increase in the electron density and its spatial heterogeneity. The latter can be explained by a higher ratio of heterochromatin to euchromatin. Similarly, many other structural properties can be derived from the data, reflecting both the natural polydispersity of the hippocampal cytoarchitecture between different individuals in the physiological context and the structural effects associated with AD pathology.
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11
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Massimi L, Clark SJ, Marussi S, Doherty A, Schulz J, Marathe S, Rau C, Endrizzi M, Lee PD, Olivo A. Dynamic Multicontrast X-Ray Imaging Method Applied to Additive Manufacturing. PHYSICAL REVIEW LETTERS 2021; 127:215503. [PMID: 34860108 DOI: 10.1103/physrevlett.127.215503] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 07/06/2021] [Accepted: 10/12/2021] [Indexed: 06/13/2023]
Abstract
We present a dynamic implementation of the beam-tracking x-ray imaging method providing absorption, phase, and ultrasmall angle scattering signals with microscopic resolution and high frame rate. We demonstrate the method's ability to capture dynamic processes with 22-ms time resolution by investigating the melting of metals in laser additive manufacturing, which has so far been limited to single-modality synchrotron radiography. The simultaneous availability of three contrast channels enables earlier segmentation of droplets, tracking of powder dynamic, and estimation of unfused powder amounts, demonstrating that the method can provide additional information on melting processes.
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Affiliation(s)
- Lorenzo Massimi
- Department of Medical Physics and Biomedical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Samuel J Clark
- Department of Mechanical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Sebastian Marussi
- Department of Mechanical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Adam Doherty
- Department of Medical Physics and Biomedical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Joachim Schulz
- MicroWorks GmbH, Schnetzlerstrae 9, 76137 Karlsruhe, Germany
- Institute of Microstructure Technology, Karlsruhe Institute of Technology, 76021 Karlsruhe, Germany
| | - Shashidhara Marathe
- Diamond Light Source, Harwell Oxford Campus, OX11 0DE Didcot, United Kingdom
| | - Christoph Rau
- Diamond Light Source, Harwell Oxford Campus, OX11 0DE Didcot, United Kingdom
| | - Marco Endrizzi
- Department of Medical Physics and Biomedical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Peter D Lee
- Department of Mechanical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
| | - Alessandro Olivo
- Department of Medical Physics and Biomedical Engineering, University College London, Gower St, London WC1E 6BT, United Kingdom
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12
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Massimi L, Partridge T, Astolfo A, Endrizzi M, Hagen CK, Munro PRT, Bate D, Olivo A. Optimization of multipoint phase retrieval in edge illumination X-ray imaging: A theoretical and experimental analysis. Med Phys 2021; 48:5884-5896. [PMID: 34387879 DOI: 10.1002/mp.15162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 07/11/2021] [Accepted: 08/03/2021] [Indexed: 11/09/2022] Open
Abstract
PURPOSE In this work, an analytical model describing the noise in the retrieved three contrast channels, transmission, refraction, and ultra small-angle scattering, obtained with edge illumination X-ray phase-based imaging system is presented and compared to experimental data. METHODS In EI, images acquired at different displacements of the presample mask (i.e., different illumination levels referred to as points on the "illumination curve"), followed by pixel-wise curve fitting, are exploited to quantitatively retrieve the three contrast channels. Therefore, the noise in the final image will depend on the error associated with the fitting process. We use a model based on the derivation of the standard error on fitted parameters, which relies on the calculation of the covariance matrix, to estimate the noise and the cross-channel correlation as a function of the position of the sampling points. In particular, we investigated the most common cases of 3 and 5 sampling points. In addition, simulations have been used to better understand the role of the integration time for each sampling point. Finally, the model is validated by comparison with the experimental data acquired with an edge illumination setup based on a tungsten rotating anode X-ray source and a photon counting detector. RESULTS We found a good match between the predictions of the model and the experimental data. In particular, for the investigated cases, an arrangement of the sampling points leading to minimum noise and cross-channel correlation can be found. Simulations revealed that, given a fixed overall scanning time, its distribution into the smallest possible number of sampling points needed for phase retrieval leads to minimum noise thanks to higher statistics per point. CONCLUSIONS This work presents an analytical model describing the noise in the various contrast channels retrieved in edge illumination as a function of the illumination curve sampling. In particular, an optimal sampling scheme leading to minimum noise has been determined for the case where 3 or 5 sampling points are used, which represent two of the most common acquisition schemes. In addition, the correlation between noise in the different channels and the role of the number of points and exposure time have been also investigated. In general, our results suggest a series of procedures that should be followed in order to optimize the experimental acquisitions.
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Affiliation(s)
- Lorenzo Massimi
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Tom Partridge
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Alberto Astolfo
- Nikon X-Tek Systems Ltd., Tring Business Centre, Tring, Hertfordshire, UK
| | - Marco Endrizzi
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Charlotte K Hagen
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Peter R T Munro
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - David Bate
- Nikon X-Tek Systems Ltd., Tring Business Centre, Tring, Hertfordshire, UK
| | - Alessandro Olivo
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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13
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Simultaneous 3D Visualization of the Microvascular and Neural Network in Mouse Spinal Cord Using Synchrotron Radiation Micro-Computed Tomography. Neurosci Bull 2021; 37:1469-1480. [PMID: 34146232 PMCID: PMC8490558 DOI: 10.1007/s12264-021-00715-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 02/06/2021] [Indexed: 11/01/2022] Open
Abstract
Effective methods for visualizing neurovascular morphology are essential for understanding the normal spinal cord and the morphological alterations associated with diseases. However, ideal techniques for simultaneously imaging neurovascular structure in a broad region of a specimen are still lacking. In this study, we combined Golgi staining with angiography and synchrotron radiation micro-computed tomography (SRμCT) to visualize the 3D neurovascular network in the mouse spinal cord. Using our method, the 3D neurons, nerve fibers, and vasculature in a broad region could be visualized in the same image at cellular resolution without destructive sectioning. Besides, we found that the 3D morphology of neurons, nerve fiber tracts, and vasculature visualized by SRμCT were highly consistent with that visualized using the histological method. Moreover, the 3D neurovascular structure could be quantitatively evaluated by the combined methodology. The method shown here will be useful in fundamental neuroscience studies.
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14
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Keppeler D, Kampshoff CA, Thirumalai A, Duque-Afonso CJ, Schaeper JJ, Quilitz T, Töpperwien M, Vogl C, Hessler R, Meyer A, Salditt T, Moser T. Multiscale photonic imaging of the native and implanted cochlea. Proc Natl Acad Sci U S A 2021; 118:e2014472118. [PMID: 33903231 PMCID: PMC8106341 DOI: 10.1073/pnas.2014472118] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The cochlea of our auditory system is an intricate structure deeply embedded in the temporal bone. Compared with other sensory organs such as the eye, the cochlea has remained poorly accessible for investigation, for example, by imaging. This limitation also concerns the further development of technology for restoring hearing in the case of cochlear dysfunction, which requires quantitative information on spatial dimensions and the sensorineural status of the cochlea. Here, we employed X-ray phase-contrast tomography and light-sheet fluorescence microscopy and their combination for multiscale and multimodal imaging of cochlear morphology in species that serve as established animal models for auditory research. We provide a systematic reference for morphological parameters relevant for cochlear implant development for rodent and nonhuman primate models. We simulate the spread of light from the emitters of the optical implants within the reconstructed nonhuman primate cochlea, which indicates a spatially narrow optogenetic excitation of spiral ganglion neurons.
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Affiliation(s)
- Daniel Keppeler
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christoph A Kampshoff
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
- Department of Otolaryngology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Anupriya Thirumalai
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Carlos J Duque-Afonso
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Jannis J Schaeper
- Institute for X-ray Physics, University of Göttingen, 37075 Göttingen, Germany
| | - Tabea Quilitz
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Mareike Töpperwien
- Institute for X-ray Physics, University of Göttingen, 37075 Göttingen, Germany
| | - Christian Vogl
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
| | | | - Alexander Meyer
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
- Department of Otolaryngology, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Tim Salditt
- Institute for X-ray Physics, University of Göttingen, 37075 Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells," University of Göttingen, 37075 Göttingen, Germany
| | - Tobias Moser
- Institute for Auditory Neuroscience, University Medical Center Göttingen, 37075 Göttingen, Germany;
- InnerEarLab, University Medical Center Göttingen, 37075 Göttingen, Germany
- Department of Otolaryngology, University Medical Center Göttingen, 37075 Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells," University of Göttingen, 37075 Göttingen, Germany
- Auditory Neuroscience and Optogenetics Laboratory, German Primate Center, 37075 Göttingen, Germany
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15
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Du M, Di Z(W, Gürsoy D, Xian RP, Kozorovitskiy Y, Jacobsen C. Upscaling X-ray nanoimaging to macroscopic specimens. J Appl Crystallogr 2021; 54:386-401. [PMID: 33953650 PMCID: PMC8056767 DOI: 10.1107/s1600576721000194] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 01/06/2021] [Indexed: 11/10/2022] Open
Abstract
Upscaling X-ray nanoimaging to macroscopic specimens has the potential for providing insights across multiple length scales, but its feasibility has long been an open question. By combining the imaging requirements and existing proof-of-principle examples in large-specimen preparation, data acquisition and reconstruction algorithms, the authors provide imaging time estimates for howX-ray nanoimaging can be scaled to macroscopic specimens. To arrive at this estimate, a phase contrast imaging model that includes plural scattering effects is used to calculate the required exposure and corresponding radiation dose. The coherent X-ray flux anticipated from upcoming diffraction-limited light sources is then considered. This imaging time estimation is in particular applied to the case of the connectomes of whole mouse brains. To image the connectome of the whole mouse brain, electron microscopy connectomics might require years, whereas optimized X-ray microscopy connectomics could reduce this to one week. Furthermore, this analysis points to challenges that need to be overcome (such as increased X-ray detector frame rate) and opportunities that advances in artificial-intelligence-based 'smart' scanning might provide. While the technical advances required are daunting, it is shown that X-ray microscopy is indeed potentially applicable to nanoimaging of millimetre- or even centimetre-size specimens.
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Affiliation(s)
- Ming Du
- Advanced Photon Source, Argonne National Laboratory, Argonne, IL 60439, USA
| | - Zichao (Wendy) Di
- Advanced Photon Source, Argonne National Laboratory, Argonne, IL 60439, USA
- Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL 60439, USA
| | - Doǧa Gürsoy
- Advanced Photon Source, Argonne National Laboratory, Argonne, IL 60439, USA
- Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL 60208, USA
| | - R. Patrick Xian
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
| | - Yevgenia Kozorovitskiy
- Department of Neurobiology, Northwestern University, Evanston, IL 60208, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
| | - Chris Jacobsen
- Advanced Photon Source, Argonne National Laboratory, Argonne, IL 60439, USA
- Chemistry of Life Processes Institute, Northwestern University, Evanston, IL 60208, USA
- Department of Physics and Astronomy, Northwestern University, Evanston, IL 60208, USA
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16
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Rodrigues PV, Tostes K, Bosque BP, de Godoy JVP, Amorim Neto DP, Dias CSB, Fonseca MDC. Illuminating the Brain With X-Rays: Contributions and Future Perspectives of High-Resolution Microtomography to Neuroscience. Front Neurosci 2021; 15:627994. [PMID: 33815039 PMCID: PMC8010130 DOI: 10.3389/fnins.2021.627994] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 02/26/2021] [Indexed: 12/27/2022] Open
Abstract
The assessment of three-dimensional (3D) brain cytoarchitecture at a cellular resolution remains a great challenge in the field of neuroscience and constant development of imaging techniques has become crucial, particularly when it comes to offering direct and clear obtention of data from macro to nano scales. Magnetic resonance imaging (MRI) and electron or optical microscopy, although valuable, still face some issues such as the lack of contrast and extensive sample preparation protocols. In this context, x-ray microtomography (μCT) has become a promising non-destructive tool for imaging a broad range of samples, from dense materials to soft biological specimens. It is a new supplemental method to be explored for deciphering the cytoarchitecture and connectivity of the brain. This review aims to bring together published works using x-ray μCT in neurobiology in order to discuss the achievements made so far and the future of this technique for neuroscience.
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Affiliation(s)
- Paulla Vieira Rodrigues
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
- Department of Structural and Functional Biology, State University of Campinas, Campinas, Brazil
| | - Katiane Tostes
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
| | - Beatriz Pelegrini Bosque
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
- Department of Structural and Functional Biology, State University of Campinas, Campinas, Brazil
| | - João Vitor Pereira de Godoy
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
- Department of Structural and Functional Biology, State University of Campinas, Campinas, Brazil
| | - Dionisio Pedro Amorim Neto
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
- Department of Structural and Functional Biology, State University of Campinas, Campinas, Brazil
| | - Carlos Sato Baraldi Dias
- Brazilian Synchrotron Light National Laboratory (LNLS), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
| | - Matheus de Castro Fonseca
- Brazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, Brazil
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17
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Contrast enhanced X-ray computed tomography imaging of amyloid plaques in Alzheimer disease rat model on lab based micro CT system. Sci Rep 2021; 11:5999. [PMID: 33727592 PMCID: PMC7966753 DOI: 10.1038/s41598-021-84579-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 02/18/2021] [Indexed: 12/21/2022] Open
Abstract
Amyloid plaques are small (~ 50 μm), highly-dense aggregates of amyloid beta (Aβ) protein in brain tissue, supposed to play a key role in pathogenesis of Alzheimer’s disease (AD). Plaques´ in vivo detection, spatial distribution and quantitative characterization could be an essential marker in diagnostics and evaluation of AD progress. However, current imaging methods in clinics possess substantial limits in sensitivity towards Aβ plaques to play a considerable role in AD screening. Contrast enhanced X-ray micro computed tomography (micro CT) is an emerging highly sensitive imaging technique capable of high resolution visualization of rodent brain. In this study we show the absorption based contrast enhanced X-ray micro CT imaging is viable method for detection and 3D analysis of Aβ plaques in transgenic rodent models of Alzheimer’s disease. Using iodine contrasted brain tissue isolated from the Tg-F344-AD rat model we show the micro CT imaging is capable of precise imaging of Aβ plaques, making possible to further analyze various aspects of their 3D spatial distribution and other properties.
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18
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Massimi L, Buchanan I, Astolfo A, Endrizzi M, Olivo A. Fast, non-iterative algorithm for quantitative integration of X-ray differential phase-contrast images. OPTICS EXPRESS 2020; 28:39677-39687. [PMID: 33379512 DOI: 10.1364/oe.405755] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 11/18/2020] [Indexed: 05/23/2023]
Abstract
X-ray phase contrast imaging is gaining importance as an imaging tool. However, it is common for X-ray phase detection techniques to be sensitive to the derivatives of the phase. Therefore, the integration of differential phase images is a fundamental step both to access quantitative pixel content and for further analysis such as segmentation. The integration of noisy data leads to artefacts with a severe impact on image quality and on its quantitative content. In this work, an integration method based on the Wiener filter is presented and tested using simulated and real data obtained with the edge illumination differential X-ray phase imaging method. The method is shown to provide high image quality while preserving the quantitative pixel content of the integrated image. In addition, it requires a short computational time making it suitable for large datasets.
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19
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Kuan AT, Phelps JS, Thomas LA, Nguyen TM, Han J, Chen CL, Azevedo AW, Tuthill JC, Funke J, Cloetens P, Pacureanu A, Lee WCA. Dense neuronal reconstruction through X-ray holographic nano-tomography. Nat Neurosci 2020; 23:1637-1643. [PMID: 32929244 PMCID: PMC8354006 DOI: 10.1038/s41593-020-0704-9] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 08/05/2020] [Indexed: 12/21/2022]
Abstract
Imaging neuronal networks provides a foundation for understanding the nervous system, but resolving dense nanometer-scale structures over large volumes remains challenging for light microscopy (LM) and electron microscopy (EM). Here we show that X-ray holographic nano-tomography (XNH) can image millimeter-scale volumes with sub-100-nm resolution, enabling reconstruction of dense wiring in Drosophila melanogaster and mouse nervous tissue. We performed correlative XNH and EM to reconstruct hundreds of cortical pyramidal cells and show that more superficial cells receive stronger synaptic inhibition on their apical dendrites. By combining multiple XNH scans, we imaged an adult Drosophila leg with sufficient resolution to comprehensively catalog mechanosensory neurons and trace individual motor axons from muscles to the central nervous system. To accelerate neuronal reconstructions, we trained a convolutional neural network to automatically segment neurons from XNH volumes. Thus, XNH bridges a key gap between LM and EM, providing a new avenue for neural circuit discovery.
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Affiliation(s)
- Aaron T Kuan
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Jasper S Phelps
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
- Program in Neuroscience, Harvard University, Boston, MA, USA
| | - Logan A Thomas
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Tri M Nguyen
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Julie Han
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA
| | - Chiao-Lin Chen
- Department of Genetics, Harvard Medical School, Boston, MA, USA
| | - Anthony W Azevedo
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - John C Tuthill
- Department of Physiology and Biophysics, University of Washington, Seattle, WA, USA
| | - Jan Funke
- HHMI Janelia Research Campus, Ashburn, VA, USA
| | | | - Alexandra Pacureanu
- Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
- ESRF, The European Synchrotron, Grenoble, France.
| | - Wei-Chung Allen Lee
- F.M. Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
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Kastner DB, Kharazia V, Nevers R, Smyth C, Astudillo-Maya DA, Williams GM, Yang Z, Holobetz CM, Santina LD, Parkinson DY, Frank LM. Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants. Sci Rep 2020; 10:20851. [PMID: 33257721 PMCID: PMC7705725 DOI: 10.1038/s41598-020-77796-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Accepted: 11/17/2020] [Indexed: 12/18/2022] Open
Abstract
Anatomic evaluation is an important aspect of many studies in neuroscience; however, it often lacks information about the three-dimensional structure of the brain. Micro-CT imaging provides an excellent, nondestructive, method for the evaluation of brain structure, but current applications to neurophysiological or lesion studies require removal of the skull as well as hazardous chemicals, dehydration, or embedding, limiting their scalability and utility. Here we present a protocol using eosin in combination with bone decalcification to enhance contrast in the tissue and then employ monochromatic and propagation phase-contrast micro-CT imaging to enable the imaging of brain structure with the preservation of the surrounding skull. Instead of relying on descriptive, time-consuming, or subjective methods, we develop simple quantitative analyses to map the locations of recording electrodes and to characterize the presence and extent of hippocampal brain lesions.
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Affiliation(s)
- David B Kastner
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA. .,Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA.
| | - Viktor Kharazia
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Rhino Nevers
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Clay Smyth
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Daniela A Astudillo-Maya
- Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA
| | - Greer M Williams
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Zhounan Yang
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Cristofer M Holobetz
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA
| | - Luca Della Santina
- Deparment of Ophthalmology, University of California, San Francisco, CA, 94143, USA.,Bakar Computational Health Science Unit, University of California, San Francisco, CA, 94158, USA
| | - Dilworth Y Parkinson
- Advanced Light Source, Lawrence Berkeley National Labs, Berkeley, CA, 94720, USA
| | - Loren M Frank
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, 94143, USA.,Kavli Institute for Fundamental Neuroscience and Department of Physiology, University of California, San Francisco, CA, 94158, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
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21
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Massimi L, Meganck JA, Towns R, Olivo A, Endrizzi M. Evaluation of a compact multicontrast and multiresolution X-ray phase contrast edge illumination system for small animal imaging. Med Phys 2020; 48:376-386. [PMID: 33107980 DOI: 10.1002/mp.14553] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/13/2020] [Accepted: 10/18/2020] [Indexed: 01/20/2023] Open
Abstract
PURPOSE In this work the performance of a compact multiresolution and multicontrast x-ray phase system based on edge illumination is investigated. It has been designed for small animal imaging and with a limited footprint for ease of deployment in laboratories. METHODS The presented edge illumination system is based on a compact microfocus tungsten x-ray source combined with a flat panel detector. The source has a maximum output of 10 W when the minimum spot size of about 15 μm is used. The system has an overall length of 70 cm. A new double sample mask design, obtained by arranging both skipped and nonskipped configurations on the same structure, provides dual resolution capability. To test the system, we carried out computed tomography (CT) scans of a plastic phantom with different source settings using both single-image and multi-image acquisition schemes at different spatial resolutions. In addition, CT scans of an ex-vivo mouse specimen were acquired at the best identified working conditions to demonstrate the application of the presented system to small animal imaging. RESULTS We found this system delivers good image quality, allowing for an efficient material separation and improving detail visibility in small animals thanks to the higher signal-to-noise ratio (SNR) of phase contrast with respect to conventional attenuation contrast. The system offers high versatility in terms of spatial resolution thanks to the double sample mask design integrated into a single scanner. The availability of both multi- and single-image acquisition schemes coupled with their dedicated retrieval algorithms, allows different working modes which can be selected based on user preference. Multi-image acquisition provides quantitative separation of the real and imaginary part of the refractive index, however, it requires a long scanning time. On the other hand, the single image approach delivers the best material separation and image quality at all the investigated source settings with a shorter scanning time but at the cost of quantitativeness. Finally, we also observed that the single image approach combined with a high-power x-ray source may result in a fast acquisition protocol compatible with in-vivo imaging.
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Affiliation(s)
- Lorenzo Massimi
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
| | - Jeffrey A Meganck
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK.,Research and Development, Life Sciences Technology, PerkinElmer, Hopkinton, MA, USA
| | - Rebecca Towns
- Biological Services, University College London, Gower Street, London, WC1E 6BT, UK
| | - Alessandro Olivo
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
| | - Marco Endrizzi
- Department of Medical Physics and Biomedical Engineering, University College London, Gower Street, London, WC1E 6BT, UK
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22
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Palermo F, Pieroni N, Maugeri L, Provinciali GB, Sanna A, Massimi L, Catalano M, Olbinado MP, Bukreeva I, Fratini M, Uccelli A, Gigli G, Kerlero de Rosbo N, Balducci C, Cedola A. X-ray Phase Contrast Tomography Serves Preclinical Investigation of Neurodegenerative Diseases. Front Neurosci 2020; 14:584161. [PMID: 33240038 PMCID: PMC7680960 DOI: 10.3389/fnins.2020.584161] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 10/09/2020] [Indexed: 12/30/2022] Open
Abstract
We report a qualitative study on central nervous system (CNS) damage that demonstrates the ability of X-ray phase contrast tomography (XPCT) to confirm data obtained with standard 2D methodology and permits the description of additional features that are not detected with 2D or other 3D techniques. In contrast to magnetic resonance or computed tomography, XPCT makes possible the high-resolution 3D imaging of soft tissues classically considered "invisible" to X-rays without the use of additional contrast agents, or without the need for intense processing of the tissue required by 2D techniques. Most importantly for studies of CNS diseases, XPCT enables a concomitant multi-scale 3D biomedical imaging of neuronal and vascular networks ranging from cells through to the CNS as a whole. In the last years, we have used XPCT to investigate neurodegenerative diseases, such as Alzheimer's disease (AD) and multiple sclerosis (MS), to shed light on brain damage and extend the observations obtained with standard techniques. Here, we show the cutting-edge ability of XPCT to highlight in 3D, concomitantly, vascular occlusions and damages, close associations between plaques and damaged vessels, as well as dramatic changes induced at neuropathological level by treatment in AD mice. We corroborate data on the well-known blood-brain barrier dysfunction in the animal model of MS, experimental autoimmune encephalomyelitis, and further show its extent throughout the CNS axis and at the level of the single vessel/capillary.
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Affiliation(s)
- Francesca Palermo
- TomaLab, Institute of Nanotechnology, CNR, Rome, Italy.,Dipartimento di Fisica, Università della Calabria, Rende, Italy
| | - Nicola Pieroni
- TomaLab, Institute of Nanotechnology, CNR, Rome, Italy.,Dipartimento di Morfogenesi e Ingegneria Tissutale, Sapienza Università di Roma, Rome, Italy
| | - Laura Maugeri
- TomaLab, Institute of Nanotechnology, CNR, Rome, Italy
| | | | - Alessia Sanna
- TomaLab, Institute of Nanotechnology, CNR, Rome, Italy
| | | | | | - Margie P Olbinado
- Swiss Light Source, Paul Scherrer Institut X-ray Tomography Group, Villigen, Switzerland
| | - Inna Bukreeva
- TomaLab, Institute of Nanotechnology, CNR, Rome, Italy
| | | | - Antonio Uccelli
- Department of Neurosciences, Rehabilitation, Ophthalmology and Maternal-Fetal Medicine (DINOGMI), University of Genoa, Genoa, Italy.,Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Giuseppe Gigli
- Institute of Nanotechnology, CNR, Università del Salento, Lecce, Italy
| | - Nicole Kerlero de Rosbo
- Department of Neurosciences, Rehabilitation, Ophthalmology and Maternal-Fetal Medicine (DINOGMI), University of Genoa, Genoa, Italy
| | - Claudia Balducci
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
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23
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Frohn J, Pinkert-Leetsch D, Missbach-Güntner J, Reichardt M, Osterhoff M, Alves F, Salditt T. 3D virtual histology of human pancreatic tissue by multiscale phase-contrast X-ray tomography. JOURNAL OF SYNCHROTRON RADIATION 2020; 27:1707-1719. [PMID: 33147198 PMCID: PMC7642968 DOI: 10.1107/s1600577520011327] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 08/18/2020] [Indexed: 05/05/2023]
Abstract
A multiscale three-dimensional (3D) virtual histology approach is presented, based on two configurations of propagation phase-contrast X-ray tomography, which have been implemented in close proximity at the GINIX endstation at the beamline P10/PETRA III (DESY, Hamburg, Germany). This enables the 3D reconstruction of characteristic morphological features of human pancreatic normal and tumor tissue, as obtained from cancer surgery, first in the form of a large-scale overview by parallel-beam illumination, followed by a zoom into a region-of-interest based on zoom tomography using a Kirkpatrick-Baez mirror with additional waveguide optics. To this end 1 mm punch biopsies of the tissue were taken. In the parallel tomography, a volumetric throughput on the order of 0.01 mm3 s-1 was achieved, while maintaining the ability to segment isolated cells. With a continuous rotation during the scan, a total acquisition time of less than 2 min was required for a full tomographic scan. Using the combination of both setups, islets of Langerhans, a three-dimensional cluster of cells in the endocrine part of the pancreas, could be located. Cells in such an islet were segmented and visualized in 3D. Further, morphological alterations of tumorous tissue of the pancreas were characterized. To this end, the anisotropy parameter Ω, based on intensity gradients, was used in order to quantify the presence of collagen fibers within the entire biopsy specimen. This proof-of-concept experiment of the multiscale approach on human pancreatic tissue paves the way for future 3D virtual pathology.
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Affiliation(s)
- Jasper Frohn
- Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
| | - Diana Pinkert-Leetsch
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075 Göttingen, Germany
- Max Planck Institute for Experimental Medicine, Group of Translational Molecular Imaging, Hermann-Rein-Strasse 3, 37075 Göttingen, Germany
| | - Jeannine Missbach-Güntner
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075 Göttingen, Germany
| | - Marius Reichardt
- Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
| | - Markus Osterhoff
- Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
| | - Frauke Alves
- Institute of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Robert Koch Strasse 40, 37075 Göttingen, Germany
- Max Planck Institute for Experimental Medicine, Group of Translational Molecular Imaging, Hermann-Rein-Strasse 3, 37075 Göttingen, Germany
- Clinic of Hematology and Medical Oncology, University Medical Center Göttingen, Robert Koch Strase 40, 37075 Göttingen, Germany
| | - Tim Salditt
- Institute for X-ray Physics, Universität Göttingen, Friedrich-Hund-Platz 1, 37077 Göttingen, Germany
- Multiscale Bioimaging: From Molecular Machines to Networks of Excitable Cells (MBExC), University Medical Center Göttingen, Robert Koch Strase 40, 37075 Göttingen, Germany
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24
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Bukreeva I, Junemann O, Cedola A, Palermo F, Maugeri L, Begani Provinciali G, Pieroni N, Sanna A, Otlyga DA, Buzmakov A, Krivonosov Y, Zolotov D, Chukalina M, Ivanova A, Saveliev S, Asadchikov V, Fratini M. Investigation of the human pineal gland 3D organization by X-ray phase contrast tomography. J Struct Biol 2020; 212:107659. [PMID: 33152420 DOI: 10.1016/j.jsb.2020.107659] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 10/19/2020] [Accepted: 10/20/2020] [Indexed: 10/23/2022]
Abstract
Pineal gland (PG) is a part of the human brain epithalamus that plays an important role in sleep, circadian rhythm, immunity, and reproduction. The calcium deposits and lesions in PG interfere with normal function of the organ and can be associated with different health disorders including serious neurological diseases. At the moment, the detailed mechanisms of PG calcifications and PG lesions formation as well as their involvement in pathological processes are not fully understood. The deep and comprehensive study of the structure of the uncut human PG with histological details, poses a stiff challenge to most imaging techniques, due to low spatial resolution, low visibility or to exceedingly aggressive sample preparation. Here, we investigate the whole uncut and unstained human post-mortem PGs by X-ray phase contrast tomography (XPCT). XPCT is an advanced 3D imaging technique, that permits to study of both soft and calcified tissue of a sample at different scales: from the whole organ to cell structure. In our research we simultaneously resolved 3D structure of parenchyma, vascular network and calcifications. Moreover, we distinguished structural details of intact and degenerated PG tissue. We discriminated calcifications with different structure, pinealocytes nuclei and the glial cells processes. All results were validated by histology. Our research clear demonstrated that XPCT is a potential tool for the high resolution 3D imaging of PG morphological features. This technique opens a new perspective to investigate PG dysfunction and understand the mechanisms of onset and progression of diseases involving the pineal gland.
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Affiliation(s)
- Inna Bukreeva
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; P.N. Lebedev Physical Institute, RAS, Leninskiy pr., 53 Moscow, Russian Federation.
| | - Olga Junemann
- FSSI Research Institute of Human Morphology, Tsyurupy Str 3, Moscow, Russian Federation.
| | - Alessia Cedola
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy.
| | - Francesca Palermo
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; Department of Physics, University of Calabria, I-87036 Arcavacata di Rende (CS), Italy
| | - Laura Maugeri
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; IRCCS Fondazione Santa Lucia, Via Ardeatina 352, Rome, Italy
| | - Ginevra Begani Provinciali
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; Laboratoire d'Optique appliquée, ENSTA Paris, Institut Polytechnique de Paris, 828 boulevard des Maréchaux, Palaiseau, France
| | - Nicola Pieroni
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; SAIMLAL Department, Sapienza University, via A. Scarpa 14, Rome, Italy
| | - Alessia Sanna
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy
| | - Dmitry A Otlyga
- FSSI Research Institute of Human Morphology, Tsyurupy Str 3, Moscow, Russian Federation
| | - Alexey Buzmakov
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation
| | - Yuri Krivonosov
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation
| | - Denis Zolotov
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation
| | - Marina Chukalina
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation; Smart Engines Service LLC, 60-letiya Oktyabrya pr., 9, Moscow, Russian Federation
| | - Anna Ivanova
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation
| | - Sergey Saveliev
- FSSI Research Institute of Human Morphology, Tsyurupy Str 3, Moscow, Russian Federation
| | - Victor Asadchikov
- FSRC «Crystallography and Photonics» RAS, Leninskiy pr., 59, Moscow, Russian Federation
| | - Michela Fratini
- Institute of Nanotechnology- CNR, Lecce Unit, Campus Ecotekne Via Monteroni, Lecce; Rome Unit, Piazzale Aldo Moro 5, Rome, Italy; IRCCS Fondazione Santa Lucia, Via Ardeatina 352, Rome, Italy
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25
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Longo E, Sancey L, Flenner S, Kubec A, Bonnin A, David C, Müller M, Greving I. X-ray Zernike phase contrast tomography: 3D ROI visualization of mm-sized mice organ tissues down to sub-cellular components. BIOMEDICAL OPTICS EXPRESS 2020; 11:5506-5517. [PMID: 33149967 PMCID: PMC7587279 DOI: 10.1364/boe.396695] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/29/2020] [Accepted: 07/13/2020] [Indexed: 05/26/2023]
Abstract
Thanks to its non-invasive nature, X-ray phase contrast tomography is a very versatile imaging tool for biomedical studies. In contrast, histology is a well-established method, though having its limitations: it requires extensive sample preparation and it is quite time consuming. Therefore, the development of nano-imaging techniques for studying anatomic details at the cellular level is gaining more and more importance. In this article, full field transmission X-ray nanotomography is used in combination with Zernike phase contrast to image millimeter sized unstained tissue samples at high spatial resolution. The regions of interest (ROI) scans of different tissues were obtained from mouse kidney, spleen and mammalian carcinoma. Thanks to the relatively large field of view and effective pixel sizes down to 36 nm, this 3D approach enabled the visualization of the specific morphology of each tissue type without staining or complex sample preparation. As a proof of concept technique, we show that the high-quality images even permitted the 3D segmentation of multiple structures down to a sub-cellular level. Using stitching techniques, volumes larger than the field of view are accessible. This method can lead to a deeper understanding of the organs' nano-anatomy, filling the resolution gap between histology and transmission electron microscopy.
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Affiliation(s)
- E. Longo
- Helmholtz-Zentrum Geesthacht, Institute of Material Research, Max-Planck-Strasse 1, 21502 Geesthacht, Germany
| | - L. Sancey
- Institute for Advanced Biosciences U1209 UMR5309 UGA, Allée des Alpes - Site Santé, La Tronche, 38700, France
| | - S. Flenner
- Helmholtz-Zentrum Geesthacht, Institute of Material Research, Max-Planck-Strasse 1, 21502 Geesthacht, Germany
| | - A. Kubec
- Paul Scherrer Institut, Villigen PSI, 5232, Switzerland
| | - A. Bonnin
- Paul Scherrer Institut, Villigen PSI, 5232, Switzerland
| | - C. David
- Paul Scherrer Institut, Villigen PSI, 5232, Switzerland
| | - M. Müller
- Helmholtz-Zentrum Geesthacht, Institute of Material Research, Max-Planck-Strasse 1, 21502 Geesthacht, Germany
| | - I. Greving
- Helmholtz-Zentrum Geesthacht, Institute of Material Research, Max-Planck-Strasse 1, 21502 Geesthacht, Germany
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26
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Massimi L, Pieroni N, Maugeri L, Fratini M, Brun F, Bukreeva I, Santamaria G, Medici V, Poloni TE, Balducci C, Cedola A. Assessment of plaque morphology in Alzheimer's mouse cerebellum using three-dimensional X-ray phase-based virtual histology. Sci Rep 2020; 10:11233. [PMID: 32641715 PMCID: PMC7343834 DOI: 10.1038/s41598-020-68045-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/18/2020] [Indexed: 02/03/2023] Open
Abstract
Visualization and characterization of \documentclass[12pt]{minimal}
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\begin{document}$$\beta$$\end{document}β-amyloid deposits is a fundamental task in pre-clinical study of Alzheimer’s disease (AD) to assess its evolution and monitor the efficiency of new therapeutic strategies. While the cerebellum is one of the brain areas most underestimated in the context of AD, renewed interest in cerebellar lesions has recently arisen as they may link to motor and cognitive alterations. Thus, we quantitatively investigated three-dimensional plaque morphology in the cerebellum in APP/PS1 transgenic mouse, as a model of AD. In order to obtain a complete high-resolution three-dimensional view of the investigated tissue, we exploited synchrotron X-ray phase contrast tomography (XPCT), providing virtual slices with histology-matching resolution. We found the formation of plaques elongated in shape, and with a specific orientation in space depending on the investigated region of the cerebellar cortex. Remarkably, a similar shape is observed in human cerebellum from demented patients. Our findings demonstrate the capability of XPCT in volumetric quantification, supporting the current knowledge about plaque morphology in the cerebellum and the fundamental role of the surrounding tissue in driving their evolution. A good correlation with the human neuropathology is also reported.
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Affiliation(s)
- Lorenzo Massimi
- Department of Medical Physics and Biomedical Engineering, University College London, London, UK. .,Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy.
| | - Nicola Pieroni
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy.,Department of Anatomical Sciences, Histological, Legal Medical and Locomotor, University of Rome "Sapienza", Rome, Italy
| | - Laura Maugeri
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy.,IRCCS Santa Lucia Foundation, Rome, Italy
| | - Michela Fratini
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy.,Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Francesco Brun
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy.,Department of Engineering and Architecture, University of Trieste, Trieste, Italy
| | - Inna Bukreeva
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy
| | - Giulia Santamaria
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Valentina Medici
- Department of Neuropathology and Neurology, Golgi-Cenci Foundation, 20081, Abbiategrasso, Italy
| | - Tino Emanuele Poloni
- Department of Neuropathology and Neurology, Golgi-Cenci Foundation, 20081, Abbiategrasso, Italy
| | - Claudia Balducci
- Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Alessia Cedola
- Institute of Nanotechnology - CNR, Rome Unit, Rome, Italy
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27
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Barbone GE, Bravin A, Mittone A, Kraiger MJ, Hrabě de Angelis M, Bossi M, Ballarini E, Rodriguez-Menendez V, Ceresa C, Cavaletti G, Coan P. Establishing sample-preparation protocols for X-ray phase-contrast CT of rodent spinal cords: Aldehyde fixations and osmium impregnation. J Neurosci Methods 2020; 339:108744. [DOI: 10.1016/j.jneumeth.2020.108744] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 12/14/2022]
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28
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Song M. Imaging Three-Dimensional Microvascular Networks of Brain with Synchrotron Radiation Microangiography. Neurosci Bull 2020; 36:331-332. [PMID: 32239457 DOI: 10.1007/s12264-020-00491-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 03/13/2020] [Indexed: 10/24/2022] Open
Affiliation(s)
- Ming Song
- National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,University of the Chinese Academy of Sciences, Beijing, 100049, China.
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29
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Correlative x-ray phase-contrast tomography and histology of human brain tissue affected by Alzheimer’s disease. Neuroimage 2020; 210:116523. [DOI: 10.1016/j.neuroimage.2020.116523] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 11/01/2019] [Accepted: 01/05/2020] [Indexed: 12/19/2022] Open
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30
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Fratini M, Abdollahzadeh A, DiNuzzo M, Salo RA, Maugeri L, Cedola A, Giove F, Gröhn O, Tohka J, Sierra A. Multiscale Imaging Approach for Studying the Central Nervous System: Methodology and Perspective. Front Neurosci 2020; 14:72. [PMID: 32116518 PMCID: PMC7019007 DOI: 10.3389/fnins.2020.00072] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 01/20/2020] [Indexed: 12/11/2022] Open
Abstract
Non-invasive imaging methods have become essential tools for understanding the central nervous system (CNS) in health and disease. In particular, magnetic resonance imaging (MRI) techniques provide information about the anatomy, microstructure, and function of the brain and spinal cord in vivo non-invasively. However, MRI is limited by its spatial resolution and signal specificity. In order to mitigate these shortcomings, it is crucial to validate MRI with an array of ancillary ex vivo imaging techniques. These techniques include histological methods, such as light and electron microscopy (EM), which can provide specific information on the tissue structure in healthy and diseased brain and spinal cord, at cellular and subcellular level. However, these conventional histological techniques are intrinsically two-dimensional (2D) and, as a result of sectioning, lack volumetric information of the tissue. This limitation can be overcome with genuine three-dimensional (3D) imaging approaches of the tissue. 3D highly resolved information of the CNS achievable by means of other imaging techniques can complement and improve the interpretation of MRI measurements. In this article, we provide an overview of different 3D imaging techniques that can be used to validate MRI. As an example, we introduce an approach of how to combine diffusion MRI and synchrotron X-ray phase contrast tomography (SXRPCT) data. Our approach paves the way for a new multiscale assessment of the CNS allowing to validate and to improve our understanding of in vivo imaging (such as MRI).
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Affiliation(s)
- Michela Fratini
- IRCCS Fondazione Santa Lucia, Rome, Italy
- Institute of Nanotechnology-CNR c/o Physics Department, Sapienza University of Rome, Rome, Italy
| | - Ali Abdollahzadeh
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | | | - Raimo A. Salo
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | | | - Alessia Cedola
- Institute of Nanotechnology-CNR c/o Physics Department, Sapienza University of Rome, Rome, Italy
| | - Federico Giove
- IRCCS Fondazione Santa Lucia, Rome, Italy
- Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi, Rome, Italy
| | - Olli Gröhn
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jussi Tohka
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
| | - Alejandra Sierra
- A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland
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31
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Li HL, Ding H, Yin XZ, Chen ZH, Tang B, Sun JY, Hu XH, Lv X, Kang ST, Fan YS, Wu T, Zhao SF, Xiao B, Zhang MQ. Comparison of high-resolution synchrotron-radiation-based phase-contrast imaging and absorption-contrast imaging for evaluating microstructure of vascular networks in rat brain: from 2D to 3D views. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:2024-2032. [PMID: 31721747 DOI: 10.1107/s1600577519011688] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 08/21/2019] [Indexed: 06/10/2023]
Abstract
Conventional imaging methods such as magnetic resonance imaging, computed tomography and digital subtraction angiography have limited temporospatial resolutions and shortcomings like invasive angiography, potential allergy to contrast agents, and image deformation, that restrict their application in high-resolution visualization of the structure of microvessels. In this study, through comparing synchrotron radiation (SR) absorption-contrast imaging to absorption phase-contrast imaging, it was found that SR-based phase-contrast imaging could provide more detailed ultra-high-pixel images of microvascular networks than absorption phase-contrast imaging. Simultaneously, SR-based phase-contrast imaging was used to perform high-quality, multi-dimensional and multi-scale imaging of rat brain angioarchitecture. With the aid of image post-processing, high-pixel-size two-dimensional virtual slices can be obtained without sectioning. The distribution of blood supply is in accordance with the results of traditional tissue staining. Three-dimensional anatomical maps of cerebral angioarchitecture can also be acquired. Functional partitions of regions of interest are reproduced in the reconstructed rat cerebral vascular networks. Imaging analysis of the same sample can also be displayed simultaneously in two- and three-dimensional views, which provides abundant anatomical information together with parenchyma and vessels. In conclusion, SR-based phase-contrast imaging holds great promise for visualizing microstructure of microvascular networks in two- and three-dimensional perspectives during the development of neurovascular diseases.
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Affiliation(s)
- Hong Lei Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Hui Ding
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Xian Zhen Yin
- State Key Laboratory of Drug Research, CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, People's Republic of China
| | - Zhuo Hui Chen
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Bin Tang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Jing Yan Sun
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Xin Hang Hu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Xinyi Lv
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Shun Tong Kang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Yi Shu Fan
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Tong Wu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Song Feng Zhao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
| | - Meng Qi Zhang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, Hunan 410008, People's Republic of China
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Shi S, Zhang H, Yin X, Wang Z, Tang B, Luo Y, Ding H, Chen Z, Cao Y, Wang T, Xiao B, Zhang M. 3D digital anatomic angioarchitecture of the mouse brain using synchrotron-radiation-based propagation phase-contrast imaging. JOURNAL OF SYNCHROTRON RADIATION 2019; 26:1742-1750. [PMID: 31490166 DOI: 10.1107/s160057751900674x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 05/10/2019] [Indexed: 06/10/2023]
Abstract
Thorough investigation of the three-dimensional (3D) configuration of the vasculature of mouse brain remains technologically difficult because of its complex anatomical structure. In this study, a systematic analysis is developed to visualize the 3D angioarchitecture of mouse brain at ultrahigh resolution using synchrotron-radiation-based propagation phase-contrast imaging. This method provides detailed restoration of the intricate brain microvascular network in a precise 3D manner. In addition to depicting the delicate 3D arrangements of the vascular network, 3D virtual micro-endoscopy is also innovatively performed to visualize randomly a selected vessel within the brain for both external 3D micro-imaging and endoscopic visualization of any targeted microvessels, which improves the understanding of the intrinsic properties of the mouse brain angioarchitecture. Based on these data, hierarchical visualization has been established and a systematic assessment on the 3D configuration of the mouse brain microvascular network has been achieved at high resolution which will aid in advancing the understanding of the role of vasculature in the perspective of structure and function in depth. This holds great promise for wider application in various models of neurovascular diseases.
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Affiliation(s)
- Shupeng Shi
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Haoran Zhang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Xianzhen Yin
- Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, People's Republic of China
| | - Zhuolu Wang
- Department of Breast Surgery, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan 410008, People's Republic of China
| | - Bin Tang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Yuebei Luo
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Hui Ding
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Zhuohui Chen
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Yong Cao
- Department of Spine Surgery, Xiangya Hospital, Central South University, Changsha 410008, People's Republic of China
| | - Tiantian Wang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Bo Xiao
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
| | - Mengqi Zhang
- Department of Neurology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008, People's Republic of China
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Phase-contrast computed tomography: A correlation study between portal pressure and three dimensional microvasculature of ex vivo liver samples from carbon tetrachloride-induced liver fibrosis in rats. Microvasc Res 2019; 125:103884. [DOI: 10.1016/j.mvr.2019.103884] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 05/23/2019] [Accepted: 06/02/2019] [Indexed: 12/17/2022]
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Perini G, Ciasca G, Minelli E, Papi M, Palmieri V, Maulucci G, Nardini M, Latina V, Corsetti V, Florenzano F, Calissano P, De Spirito M, Amadoro G. Dynamic structural determinants underlie the neurotoxicity of the N-terminal tau 26-44 peptide in Alzheimer's disease and other human tauopathies. Int J Biol Macromol 2019; 141:278-289. [PMID: 31470053 DOI: 10.1016/j.ijbiomac.2019.08.220] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Revised: 08/10/2019] [Accepted: 08/26/2019] [Indexed: 12/31/2022]
Abstract
The intrinsically disordered tau protein plays a pivotal role in the pathogenesis of Alzheimer's disease (AD) and other human tauopathies. Abnormal post-translational modifications of tau, such as truncation, are causally involved in the onset/development of these neurodegenerative diseases. In this context, the AD-relevant N-terminal fragment mapping between 26 and 44 amino acids of protein (tau26-44) is interesting, being endowed with potent neurotoxic effects in vitro and in vivo. However, the understanding of the mechanism(s) of tau26-44 toxicity is a challenging task because, similarly to the full-length tau, it does not have a unique 3D structure but exists as dynamic ensemble of conformations. Here we use Atomic Force Spectroscopy, Small Angle X-ray Scattering and Molecular Dynamics simulation to gather structural and functional information on the tau26-44. We highlight the presence, the type and the location of its temporary secondary structures and we unveil the occurrence of relevant transient tertiary conformations that could contribute to tau26-44 toxicity. Data are compared with those obtained on the biologically-inactive, reverse-sequence (tau44-26 peptide) which has the same mass, charge, aminoacidic composition as well as the same overall unfolded character of tau26-44.
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Affiliation(s)
- Giordano Perini
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Gabriele Ciasca
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy.
| | - Eleonora Minelli
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Massimiliano Papi
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Valentina Palmieri
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Giuseppe Maulucci
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Matteo Nardini
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Valentina Latina
- European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy
| | - Veronica Corsetti
- European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy
| | - Fulvio Florenzano
- European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy
| | - Pietro Calissano
- European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy
| | - Marco De Spirito
- Istituto di Fisica, Università Cattolica del Sacro Cuore, Roma, Italy; Fondazione Policlinico A. Gemelli IRCCS, Roma, Italy
| | - Giuseppina Amadoro
- European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy; Institute of Translational Pharmacology (IFT)-CNR, Via Fosso del Cavaliere 100, 00133 Rome, Italy.
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35
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Töpperwien M, Markus A, Alves F, Salditt T. Contrast enhancement for visualizing neuronal cytoarchitecture by propagation-based x-ray phase-contrast tomography. Neuroimage 2019; 199:70-80. [PMID: 31129306 DOI: 10.1016/j.neuroimage.2019.05.043] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 05/16/2019] [Indexed: 12/11/2022] Open
Abstract
Knowledge of the three-dimensional (3d) neuronal cytoarchitecture is an important factor in order to understand the connection between tissue structure and function or to visualize pathological changes in neurodegenerative diseases or tumor development. The gold standard in neuropathology is histology, a technique which provides insights into the cellular organization based on sectioning of the sample. Conventional histology, however, misses the complete 3d information as only individual two-dimensional slices through the object are available. In this work, we use propagation-based phase-contrast x-ray tomography to perform 3d virtual histology on cerebellar tissue from mice. This technique enables us to non-invasively visualize the entire 3d density distribution of the examined samples at isotropic (sub-)cellular resolution. One central challenge, however, of the technique is the fact that contrast for important structural features can be easily lost due to small electron density differences, notably between the cells and surrounding tissue. Here, we evaluate the influence of different embedding media, which are intermediate steps in sample preparation for classical histology, on contrast formation and examine the applicability of the different sample preparations both at a synchrotron-based holotomography setup as well as a laboratory source.
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Affiliation(s)
- Mareike Töpperwien
- Institute for X-Ray Physics, University of Göttingen, Germany; Center for Nanoscopy and Molecular Physiology of the Brain (CNMPB), Germany.
| | - Andrea Markus
- Department of Haematology and Medical Oncology, University Medical Center Göttingen, Germany
| | - Frauke Alves
- Department of Haematology and Medical Oncology, University Medical Center Göttingen, Germany; Department of Diagnostic and Interventional Radiology, University Medical Center Göttingen, Germany; Department of Molecular Biology of Neuronal Signals, Max-Planck-Institute of Experimental Medicine, Germany
| | - Tim Salditt
- Institute for X-Ray Physics, University of Göttingen, Germany; Center for Nanoscopy and Molecular Physiology of the Brain (CNMPB), Germany.
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