Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Rieppo, Lassi

  • Google
  • 3
  • 17
  • 39

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023Micro-computed Tomography-Based Collagen Orientation and Anisotropy Analysis of Rabbit Articular Cartilage2citations
  • 2021Infrared fiber-optic spectroscopy detects bovine articular cartilage degeneration14citations
  • 2018Quantitative susceptibility mapping of articular cartilage: ex vivo findings at multiple orientations and following different degradation treatments23citations

Places of action

Chart of shared publication
Korhonen, Rami K.
1 / 6 shared
Saarakkala, Simo
3 / 5 shared
Ojanen, Simo
1 / 1 shared
Finnilä, Mikko A. J.
1 / 2 shared
Töyräs, Juha
2 / 28 shared
Zimmermann, Boris
1 / 2 shared
Kohler, Achim
1 / 2 shared
Virtanen, Vesa
1 / 1 shared
Nippolainen, Ervin
1 / 2 shared
Shaikh, Rubina
1 / 1 shared
Solheim, Johanne
1 / 1 shared
Tafintseva, Valeria
1 / 1 shared
Afara, Isaac
1 / 5 shared
Nykänen, Olli
1 / 4 shared
Nissi, Mikko J.
1 / 3 shared
Shmueli, Karin
1 / 1 shared
Kolehmainen, Ville
1 / 2 shared
Chart of publication period
2023
2021
2018

Co-Authors (by relevance)

  • Korhonen, Rami K.
  • Saarakkala, Simo
  • Ojanen, Simo
  • Finnilä, Mikko A. J.
  • Töyräs, Juha
  • Zimmermann, Boris
  • Kohler, Achim
  • Virtanen, Vesa
  • Nippolainen, Ervin
  • Shaikh, Rubina
  • Solheim, Johanne
  • Tafintseva, Valeria
  • Afara, Isaac
  • Nykänen, Olli
  • Nissi, Mikko J.
  • Shmueli, Karin
  • Kolehmainen, Ville
OrganizationsLocationPeople

article

Micro-computed Tomography-Based Collagen Orientation and Anisotropy Analysis of Rabbit Articular Cartilage

  • Korhonen, Rami K.
  • Saarakkala, Simo
  • Ojanen, Simo
  • Finnilä, Mikko A. J.
  • Rieppo, Lassi
Abstract

<jats:title>Abstract</jats:title><jats:p>The collagen network is the highly organized backbone of articular cartilage providing tissue tensile stiffness and restricting proteoglycan bleaching out of the tissue. Osteoarthritis (OA) diminishes proper collagen network adaptation. Our aim was to provide quantitative three-dimensional (3D) information of the cartilage collagen network adaptation in early osteoarthritis using high resolution micro-computed tomography (<jats:italic>µ</jats:italic>CT)-imaging. Osteochondral samples from the femoral condyles were collected from healthy (<jats:italic>N</jats:italic> = 8, both legs) and experimental OA rabbit model with anterior cruciate ligament transection (<jats:italic>N</jats:italic> = 14, single leg). Samples were processed for cartilage <jats:italic>µ</jats:italic>CT-imaging and histological evaluation with polarized light microscopy (PLM). Structure tensor analysis was used to analyse the collagen fibre orientation and anisotropy of the <jats:italic>µ</jats:italic>CT-images, and PLM was used as a validation for structural changes. Depth-wise comparison of collagen fibre orientation acquired with <jats:italic>µ</jats:italic>CT-imaging and PLM correlated well, but the values obtained with PLM were systematically greater than those measured with <jats:italic>µ</jats:italic>CT-imaging. Structure tensor analysis allowed for 3D quantification of collagen network anisotropy. Finally, <jats:italic>µ</jats:italic>CT-imaging revealed only minor differences between the control and experimental groups.</jats:p>

Topics
  • impedance spectroscopy
  • tomography
  • Polarized light microscopy