Literature DB >> 32228403

Evaluation of scaffold microstructure and comparison of cell seeding methods using micro-computed tomography-based tools.

Aleksi Palmroth1, Sanna Pitkänen2,3, Markus Hannula4, Kaarlo Paakinaho2,5, Jari Hyttinen4, Susanna Miettinen2,3, Minna Kellomäki1.   

Abstract

Micro-computed tomography (micro-CT) provides a means to analyse and model three-dimensional (3D) tissue engineering scaffolds. This study proposes a set of micro-CT-based tools firstly for evaluating the microstructure of scaffolds and secondly for comparing different cell seeding methods. The pore size, porosity and pore interconnectivity of supercritical CO2 processed poly(l-lactide-co-ɛ-caprolactone) (PLCL) and PLCL/β-tricalcium phosphate scaffolds were analysed using computational micro-CT models. The models were supplemented with an experimental method, where iron-labelled microspheres were seeded into the scaffolds and micro-CT imaged to assess their infiltration into the scaffolds. After examining the scaffold architecture, human adipose-derived stem cells (hASCs) were seeded into the scaffolds using five different cell seeding methods. Cell viability, number and 3D distribution were evaluated. The distribution of the cells was analysed using micro-CT by labelling the hASCs with ultrasmall paramagnetic iron oxide nanoparticles. Among the tested seeding methods, a forced fluid flow-based technique resulted in an enhanced cell infiltration throughout the scaffolds compared with static seeding. The current study provides an excellent set of tools for the development of scaffolds and for the design of 3D cell culture experiments.

Entities:  

Keywords:  USPIO; cell seeding; micro-CT; microsphere; supercritical CO2 processing; tissue engineering

Mesh:

Substances:

Year:  2020        PMID: 32228403      PMCID: PMC7211473          DOI: 10.1098/rsif.2020.0102

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  34 in total

1.  A 1-min method for homogenous cell seeding in porous scaffolds.

Authors:  Lijun Tan; Yijin Ren; Roel Kuijer
Journal:  J Biomater Appl       Date:  2010-12-01       Impact factor: 2.646

2.  New technique of seeding chondrocytes into microporous poly(L-lactide-co-epsilon-caprolactone) sponge by cyclic compression force-induced suction.

Authors:  Jun Xie; Youngmee Jung; Soo Hyun Kim; Young Ha Kim; Takehisa Matsuda
Journal:  Tissue Eng       Date:  2006-07

3.  The use of computational fluid dynamic models for the optimization of cell seeding processes.

Authors:  Adebayo A Adebiyi; Mohammad E Taslim; Keith D Crawford
Journal:  Biomaterials       Date:  2011-08-31       Impact factor: 12.479

4.  Ectopic bone formation by aggregated mesenchymal stem cells from bone marrow and adipose tissue: A comparative study.

Authors:  Eelco M Fennema; Laurent A H Tchang; Huipin Yuan; Clemens A van Blitterswijk; Ivan Martin; Arnaud Scherberich; Jan de Boer
Journal:  J Tissue Eng Regen Med       Date:  2017-08-21       Impact factor: 3.963

Review 5.  Preclinical imaging in bone tissue engineering.

Authors:  Manuela Ventura; Otto C Boerman; Chris de Korte; Mark Rijpkema; Arend Heerschap; Egbert Oosterwijk; John A Jansen; X Frank Walboomers
Journal:  Tissue Eng Part B Rev       Date:  2014-05-29       Impact factor: 6.389

6.  Fiji: an open-source platform for biological-image analysis.

Authors:  Johannes Schindelin; Ignacio Arganda-Carreras; Erwin Frise; Verena Kaynig; Mark Longair; Tobias Pietzsch; Stephan Preibisch; Curtis Rueden; Stephan Saalfeld; Benjamin Schmid; Jean-Yves Tinevez; Daniel James White; Volker Hartenstein; Kevin Eliceiri; Pavel Tomancak; Albert Cardona
Journal:  Nat Methods       Date:  2012-06-28       Impact factor: 28.547

7.  BoneJ: Free and extensible bone image analysis in ImageJ.

Authors:  Michael Doube; Michał M Kłosowski; Ignacio Arganda-Carreras; Fabrice P Cordelières; Robert P Dougherty; Jonathan S Jackson; Benjamin Schmid; John R Hutchinson; Sandra J Shefelbine
Journal:  Bone       Date:  2010-09-15       Impact factor: 4.398

8.  Osteogenic medium is superior to growth factors in differentiation of human adipose stem cells towards bone-forming cells in 3D culture.

Authors:  L Tirkkonen; S Haimi; S Huttunen; J Wolff; E Pirhonen; G K Sándor; S Miettinen
Journal:  Eur Cell Mater       Date:  2013-01-30       Impact factor: 3.942

9.  Labeling adipose derived stem cell sheet by ultrasmall super-paramagnetic Fe3O4 nanoparticles and magnetic resonance tracking in vivo.

Authors:  Shukui Zhou; Ting Yin; Qingsong Zou; Kaile Zhang; Guo Gao; Joseph G Shapter; Peng Huang; Qiang Fu
Journal:  Sci Rep       Date:  2017-02-21       Impact factor: 4.379

10.  Evaluating the effect of ultrasmall superparamagnetic iron oxide nanoparticles for a long-term magnetic cell labeling.

Authors:  Saeed Shanehsazzadeh; Mohammad Ali Oghabian; Barry J Allen; Massoud Amanlou; Afshin Masoudi; Fariba Johari Daha
Journal:  J Med Phys       Date:  2013-01
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  3 in total

1.  Modeling of the Human Bone Environment: Mechanical Stimuli Guide Mesenchymal Stem Cell-Extracellular Matrix Interactions.

Authors:  Ana Rita Pereira; Andreas Lipphaus; Mert Ergin; Sahar Salehi; Dominic Gehweiler; Maximilian Rudert; Jan Hansmann; Marietta Herrmann
Journal:  Materials (Basel)       Date:  2021-08-07       Impact factor: 3.623

Review 2.  Translating Material Science into Bone Regenerative Medicine Applications: State-of-The Art Methods and Protocols.

Authors:  Lorena Di Pietro; Valentina Palmieri; Massimiliano Papi; Wanda Lattanzi
Journal:  Int J Mol Sci       Date:  2022-08-22       Impact factor: 6.208

3.  Cartilage Repair Capacity within a Single Full-Thickness Chondral Defect in a Porcine Autologous Matrix-Induced Chondrogenesis Model Is Affected by the Location within the Defect.

Authors:  E Salonius; A Meller; T Paatela; A Vasara; J Puhakka; M Hannula; A-M Haaparanta; I Kiviranta; V Muhonen
Journal:  Cartilage       Date:  2021-07-26       Impact factor: 3.117

  3 in total

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