Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/24923| Título: | Image analysis for automatic characterization of polyhydroxyalcanoates granules |
| Autor(es): | Mesquita, D. P. Selvaggio, Gianluca Cunha, J. R. Leal, Cristiano S. Amaral, A. L. Ferreira, Eugénio C. |
| Palavras-chave: | Image analysis Enhanced biological phosphorus removal (EBPR) Polyhydroxyalcanoate granules (PHA) Sudan black B (SBB) |
| Data: | 2013 |
| Editora: | Springer |
| Revista: | Lecture Notes in Computer Science |
| Citação: | Mesquita, D.P., Selvaggio, G., Cunha, J.R., Leal, C.S., Amaral, A.L., Ferreira, E.C. (2013). Image Analysis for Automatic Characterization of Polyhydroxyalcanoates Granules. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2013. Lecture Notes in Computer Science, vol 7950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39094-4_91 |
| Resumo(s): | A new monitoring approach for polyhydroxyalcanoates (PHA) granules identification and characterization based on image analysis procedures is proposed. PHA granules were analyzed by Sudan Black B (SBB) staining in an enhanced biological phosphorus removal (EBPR) system. Color images captured on an optical microscope were analyzed through quantitative image analysis. The distribution of PHA granules was estimated by determination of the proportion of blue-black pixels. A relationship was found between image analysis parameters and PHA concentration. In conclusion, it may be inferred that the present image analysis procedure is suitable to quantify PHA granules in SBB staining images and a promising alternative to standard analysis. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/24923 |
| ISBN: | 978-3-642-39093-7 |
| e-ISBN: | 978-3-642-39094-4 |
| DOI: | 10.1007/978-3-642-39094-4_91 |
| ISSN: | 1611-3349 |
| e-ISSN: | 0302-9743 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| ICIAR2013.pdf | 2,85 MB | Adobe PDF | Ver/Abrir |
