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1.
Sci Rep ; 8(1): 17060, 2018 Nov 14.
Artículo en Inglés | MEDLINE | ID: mdl-30425302

RESUMEN

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

2.
Sci Rep ; 7(1): 3748, 2017 06 16.
Artículo en Inglés | MEDLINE | ID: mdl-28623263

RESUMEN

Classification of morphological features in biological samples is usually performed by a trained eye but the increasing amount of available digital images calls for semi-automatic classification techniques. Here we explore this possibility in the context of acrosome morphological analysis during spermiogenesis. Our method combines feature extraction from three dimensional reconstruction of confocal images with principal component analysis and machine learning. The method could be particularly useful in cases where the amount of data does not allow for a direct inspection by trained eye.


Asunto(s)
Acrosoma , Procesamiento de Imagen Asistido por Computador/métodos , Espermatogénesis/fisiología , Animales , Masculino , Ratones , Microscopía Confocal/métodos
3.
J Mech Behav Biomed Mater ; 65: 42-52, 2017 01.
Artículo en Inglés | MEDLINE | ID: mdl-27552598

RESUMEN

Collagen networks provide the main structural component of most tissues and represent an important ingredient for bio-mimetic materials for bio-medical applications. Here we study the mechanical properties of stiff collagen networks derived from three different echinoderms and show that they exhibit non-linear stiffening followed by brittle fracture. The disordered nature of the network leads to strong sample-to-sample fluctuations in elasticity and fracture strength. We perform numerical simulations of a three dimensional model for the deformation of a cross-linked elastic fibril network which is able to reproduce the macroscopic features of the experimental results and provide insights into the internal mechanics of stiff collagen networks. Our numerical model provides an avenue for the design of collagen membranes with tunable mechanical properties.


Asunto(s)
Colágeno/fisiología , Equinodermos/fisiología , Animales , Materiales Biomiméticos , Elasticidad , Matriz Extracelular , Modelos Teóricos , Estrés Mecánico
4.
Mar Environ Res ; 128: 46-57, 2017 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-27063846

RESUMEN

The use of marine collagens is a hot topic in the field of tissue engineering. Echinoderms possess unique connective tissues (Mutable Collagenous Tissues, MCTs) which can represent an innovative source of collagen to develop collagen barrier-membranes for Guided Tissue Regeneration (GTR). In the present work we used MCTs from different echinoderm models (sea urchin, starfish and sea cucumber) to produce echinoderm-derived collagen membranes (EDCMs). Commercial membranes for GTR or soluble/reassembled (fibrillar) bovine collagen substrates were used as controls. The three EDCMs were similar among each other in terms of structure and mechanical performances and were much thinner and mechanically more resistant than the commercial membranes. Number of fibroblasts seeded on sea-urchin membranes were comparable to the bovine collagen substrates. Cell morphology on all EDCMs was similar to that of structurally comparable (reassembled) bovine collagen substrates. Overall, echinoderms, and sea urchins particularly, are alternative collagen sources to produce efficient GTR membranes. Sea urchins display a further advantage in terms of eco-sustainability by recycling tissues from food wastes.


Asunto(s)
Materiales Biocompatibles , Equinodermos , Animales
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