An Open Source Image Processing Method to Quantitatively Assess Tissue Growth after Non-Invasive Magnetic Resonance Imaging in Human Bone Marrow Stromal Cell Seeded 3D Polymeric Scaffolds

Anne M. Leferink; Raluca M. Fratila; Maaike A. Koenrades; Clemens A. van Blitterswijk; Aldrik Velders; Lorenzo Moroni

doi:10.1371/journal.pone.0115000

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Peer-reviewed

Research Article

An Open Source Image Processing Method to Quantitatively Assess Tissue Growth after Non-Invasive Magnetic Resonance Imaging in Human Bone Marrow Stromal Cell Seeded 3D Polymeric Scaffolds

Anne M. Leferink,

Affiliation Department of Tissue Regeneration, MIRA – Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
⨯
Raluca M. Fratila,

Affiliation NeuroImaging Group, MIRA – Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
⨯
Maaike A. Koenrades,

Affiliation Department of Tissue Regeneration, MIRA – Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
⨯
Clemens A. van Blitterswijk,

Affiliations Department of Tissue Regeneration, MIRA – Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands, Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
⨯
Aldrik Velders,

Affiliations Laboratory of SupraMolecular Chemistry and Technology of MESA – Institute for Nanotechnology, University of Twente, Enschede, The Netherlands, Department of BioNanotechnology, Agrotechnology and Food Sciences, Wageningen University, Wageningen, The Netherlands
⨯
Lorenzo Moroni

* E-mail: l.moroni@utwente.nl

Affiliations Department of Tissue Regeneration, MIRA – Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands, Department of Complex Tissue Regeneration, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
⨯

An Open Source Image Processing Method to Quantitatively Assess Tissue Growth after Non-Invasive Magnetic Resonance Imaging in Human Bone Marrow Stromal Cell Seeded 3D Polymeric Scaffolds

Anne M. Leferink,
Raluca M. Fratila,
Maaike A. Koenrades,
Clemens A. van Blitterswijk,
Aldrik Velders,
Lorenzo Moroni

Published: December 12, 2014
https://doi.org/10.1371/journal.pone.0115000

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