Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Naji, M.
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Tozzi, Gianluca

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University of Greenwich

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (13/13 displayed)

  • 2024Biofabrication of nanocomposite-based scaffolds containing human bone extracellular matrix for the differentiation of skeletal stem and progenitor cells6citations
  • 2023Biofabrication of nanocomposite-based scaffolds containing human bone extracellular matrix for the differentiation of skeletal stem and progenitor cells1citations
  • 2022Nonlinear micro finite element models based on digital volume correlation measurements predict early microdamage in newly formed bone16citations
  • 2021Multi-scale mechanical and morphological characterisation of sintered porous magnesium-based scaffolds for bone regeneration in critical-sized defects30citations
  • 2021Time-resolved in situ synchrotron-microCT39citations
  • 2020Flexural resistance of CAD/CAM blocks. Part 3: polymer-based restorative materials for permanent restorationscitations
  • 2020Low-cycle full-field residual strains in cortical bone and their influence on tissue fracture evaluated via in situ stepwise and continuous X-ray computed tomography24citations
  • 2019Anisotropic crack propagation and deformation in dentin observed by four-dimensional X-ray nano-computed tomography35citations
  • 2019Sustained release from injectable composite gels loaded with silver nanowires designed to combat bacterial resistance in bone regeneration applications32citations
  • 2017Precision of digital volume correlation approaches for strain analysis in bone imaged with micro-computed tomography at different dimensional levels86citations
  • 20174D printing biomimetic tissue structures using correlative approachescitations
  • 2016Morphological and mechanical biomimetic bone structures8citations
  • 2012Compressive fatigue behaviour of bovine cancellous bone and bone analogous materials under multi-step loading conditions8citations

Places of action

Chart of shared publication
Rawlings, Andrew
2 / 3 shared
Roldo, Marta
3 / 3 shared
Dawson, Jonathan I.
2 / 2 shared
Kanczler, Janos M.
2 / 3 shared
Oreffo, Richard O. C.
2 / 3 shared
Cidonio, Gianluca
2 / 8 shared
Lanham, Stuart
2 / 7 shared
Kim, Yang-Hee
2 / 9 shared
Wolfram, Uwe
1 / 24 shared
Black, Cameron
1 / 2 shared
Sasso, Sebastian J.
1 / 1 shared
Peña Fernández, Marta
6 / 9 shared
Kanczler, Janos
1 / 8 shared
Mcphee, Samuel
1 / 3 shared
Kao, Alexander Peter
1 / 1 shared
Bonithon, Roxane
2 / 3 shared
Dunlop, Joseph Nicholas
1 / 1 shared
Witte, Frank
3 / 10 shared
Blunn, Gordon William
1 / 1 shared
Howells, David
1 / 1 shared
Arora, Hari
2 / 3 shared
Bodey, Andrew J.
1 / 3 shared
Kao, Alexander P.
2 / 2 shared
Johnston, Richard
1 / 5 shared
Wanelik, Kazimir
1 / 1 shared
Louca, Chris
1 / 7 shared
Carrabba, Michele
1 / 5 shared
Vichi, Alessandro
1 / 6 shared
Goracci, Cecilia
1 / 2 shared
Obrien, Marie
1 / 2 shared
Bradley, Robert S.
1 / 1 shared
Rawson, Shelley D.
1 / 3 shared
Withers, Philip J.
1 / 38 shared
Leibowitz, Marty
1 / 1 shared
Lu, Xuekun
1 / 3 shared
Hornberger, Benjamin
1 / 1 shared
Cerri, Guido
1 / 3 shared
Mori, Arianna De
1 / 1 shared
Draheim, Roger
1 / 1 shared
Hafidh, Meena.
1 / 1 shared
Conconi, Maria Teresa
1 / 2 shared
Mele, Natalia
1 / 1 shared
Gavini, Elisabetta
1 / 2 shared
Yusuf, Rahmi
1 / 1 shared
Barbu, Eugen
1 / 11 shared
Cristofolini, Luca
1 / 3 shared
Giorgi, Mario
1 / 2 shared
Palanca, Marco
1 / 1 shared
Dallara, Enrico
1 / 2 shared
Parwani, Rachna Narendra
1 / 1 shared
Curto, Marco
2 / 2 shared
Pani, Martino
2 / 2 shared
Barber, Asa
2 / 7 shared
Kao, Alex
1 / 1 shared
Parwani, Rachna
1 / 1 shared
Rowley, Peter
1 / 2 shared
Christ, H-J.
1 / 2 shared
Tong, Jie
1 / 5 shared
Guillen, T.
1 / 1 shared
Ohrndorf, A.
1 / 2 shared
Chart of publication period
2024
2023
2022
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2020
2019
2017
2016
2012

Co-Authors (by relevance)

  • Rawlings, Andrew
  • Roldo, Marta
  • Dawson, Jonathan I.
  • Kanczler, Janos M.
  • Oreffo, Richard O. C.
  • Cidonio, Gianluca
  • Lanham, Stuart
  • Kim, Yang-Hee
  • Wolfram, Uwe
  • Black, Cameron
  • Sasso, Sebastian J.
  • Peña Fernández, Marta
  • Kanczler, Janos
  • Mcphee, Samuel
  • Kao, Alexander Peter
  • Bonithon, Roxane
  • Dunlop, Joseph Nicholas
  • Witte, Frank
  • Blunn, Gordon William
  • Howells, David
  • Arora, Hari
  • Bodey, Andrew J.
  • Kao, Alexander P.
  • Johnston, Richard
  • Wanelik, Kazimir
  • Louca, Chris
  • Carrabba, Michele
  • Vichi, Alessandro
  • Goracci, Cecilia
  • Obrien, Marie
  • Bradley, Robert S.
  • Rawson, Shelley D.
  • Withers, Philip J.
  • Leibowitz, Marty
  • Lu, Xuekun
  • Hornberger, Benjamin
  • Cerri, Guido
  • Mori, Arianna De
  • Draheim, Roger
  • Hafidh, Meena.
  • Conconi, Maria Teresa
  • Mele, Natalia
  • Gavini, Elisabetta
  • Yusuf, Rahmi
  • Barbu, Eugen
  • Cristofolini, Luca
  • Giorgi, Mario
  • Palanca, Marco
  • Dallara, Enrico
  • Parwani, Rachna Narendra
  • Curto, Marco
  • Pani, Martino
  • Barber, Asa
  • Kao, Alex
  • Parwani, Rachna
  • Rowley, Peter
  • Christ, H-J.
  • Tong, Jie
  • Guillen, T.
  • Ohrndorf, A.
OrganizationsLocationPeople

article

Precision of digital volume correlation approaches for strain analysis in bone imaged with micro-computed tomography at different dimensional levels

  • Cristofolini, Luca
  • Tozzi, Gianluca
  • Giorgi, Mario
  • Palanca, Marco
  • Dallara, Enrico
  • Peña Fernández, Marta
Abstract

<p>Accurate measurement of local strain in heterogeneous and anisotropic bone tissue is fundamental to understand the pathophysiology of musculoskeletal diseases, to evaluate the effect of interventions from preclinical studies, and to optimize the design and delivery of biomaterials. Digital volume correlation (DVC) can be used to measure the three-dimensional displacement and strain fields from micro-computed tomography (μCT) images of loaded specimens. However, this approach is affected by the quality of the input images, by the morphology and density of the tissue under investigation, by the correlation scheme, and by the operational parameters used in the computation. Therefore, for each application, the precision of the method should be evaluated. In this paper, we present the results collected from datasets analyzed in previous studies as well as new data from a recent experimental campaign for characterizing the relationship between the precision of two different DVC approaches and the spatial resolution of the outputs. Different bone structures scanned with laboratory source μCT or synchrotron light μCT (SRμCT) were processed in zero-strain tests to evaluate the precision of the DVC methods as a function of the subvolume size that ranged from 8 to 2,500 µm. The results confirmed that for every microstructure the precision of DVC improves for larger subvolume size, following power laws. However, for the first time, large differences in the precision of both local and global DVC approaches have been highlighted when SRμCT or in vivo μCT images were used instead of conventional ex vivo μCT. These findings suggest that in situ mechanical testing protocols applied in SRμCT facilities should be optimized to allow DVC analyses of localized strain measurements. Moreover, for in vivo μCT applications, DVC analyses should be performed only with relatively course spatial resolution for achieving a reasonable precision of the method. In conclusion, we have extensively shown that the precision of both tested DVC approaches is affected by different bone structures, different input image resolution, and different subvolume sizes. Before each specific application, DVC users should always apply a similar approach to find the best compromise between precision and spatial resolution of the measurements.</p>

Topics
  • density
  • impedance spectroscopy
  • microstructure
  • tomography
  • anisotropic
  • biomaterials