Morphological and statistical analysis of biomaterials with applications in tissue engineering by means of microscopy image processing

Ramón Cardona Marsal; Manuel Salmerón Sánchez; Ana Vallés Lluch; David Moratal

doi:10.1109/TLA.2011.5893790

Morphological and statistical analysis of biomaterials with applications in tissue engineering by means of microscopy image processing

Ramón Cardona Marsal, Manuel Salmerón Sánchez, Ana Vallés Lluch, David Moratal

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This work presents the software implementation of a tissue engineering image analysis tool through the study of several biomaterials by means of different microscopy techniques (optical, scanning electron, and atomic force microscopy). With this tool, different quantitative information has been extracted from the microscopy image analysis of these biomaterials, as the number of objects, their mean size and the area they cover. Morphological characteristics, as the roundness or the porosity have been also obtained. All these quantitative information has permitted an statistical analysis over the obtained results.

Original language	English
Article number	5893790
Pages (from-to)	406-414
Number of pages	9
Journal	IEEE Latin America Transactions
Volume	9
Issue number	3
DOIs	https://doi.org/10.1109/TLA.2011.5893790
Publication status	Published - Jun 1 2011
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Science(all)
Electrical and Electronic Engineering

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10.1109/TLA.2011.5893790

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abstract = "This work presents the software implementation of a tissue engineering image analysis tool through the study of several biomaterials by means of different microscopy techniques (optical, scanning electron, and atomic force microscopy). With this tool, different quantitative information has been extracted from the microscopy image analysis of these biomaterials, as the number of objects, their mean size and the area they cover. Morphological characteristics, as the roundness or the porosity have been also obtained. All these quantitative information has permitted an statistical analysis over the obtained results.",

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AB - This work presents the software implementation of a tissue engineering image analysis tool through the study of several biomaterials by means of different microscopy techniques (optical, scanning electron, and atomic force microscopy). With this tool, different quantitative information has been extracted from the microscopy image analysis of these biomaterials, as the number of objects, their mean size and the area they cover. Morphological characteristics, as the roundness or the porosity have been also obtained. All these quantitative information has permitted an statistical analysis over the obtained results.

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Morphological and statistical analysis of biomaterials with applications in tissue engineering by means of microscopy image processing

Abstract

All Science Journal Classification (ASJC) codes

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