SciELO - Scientific Electronic Library Online

 
vol.42 issue1Modification of rice husk to improve the interface in isotactic polypropylene compositesOn a quasilinearisation method for the Von Kärmkän flow problem with heat transfer author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

  • Have no cited articlesCited by SciELO

Related links

  • Have no similar articlesSimilars in SciELO

Share


Latin American applied research

Print version ISSN 0327-0793On-line version ISSN 1851-8796

Abstract

GONZALEZ, M.A. et al. Morphological quantification of polymer nanofibers in tissue engineering images. Lat. Am. appl. res. [online]. 2012, vol.42, n.1, pp.89-95. ISSN 0327-0793.

The design and fabrication of highly porous polymeric or composite scaffolds for tissue engineering and organ regeneration are keystones to advance in these interdisciplinary research areas. The development of biocompatible polymeric matrices with particular morphologies that promote a specific biological response for each type of cell, is strongly needed. To attain this goal, the characterization and quantification of the morphological properties of the scaffolds are necessary to correlate them to mechanical and biological properties. In this work, micro/nanofibrous scaffolds obtained by electrospinning were characterized by scanning electron microscopy (SEM). The use of the granulometric size function, computed from the scaffold images, to develop algorithms that help the specialists in the characterization of the shape, size, stocking density and orientation of the arrays, is proposed. The obtained results show that the analysis of SEM images allows for a good characterization of fibrous scaffolds becoming a useful tool for specialists in this research area.

Keywords : Digital Image Processing; Mathematical Morphology; Tissue Engineering; Biomedical Polymers.

        · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License