Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/135| Título: | Semi-automated recognition of protozoa by image analysis |
| Autor(es): | Amaral, A. L. Baptiste, C. Pons, M. N. Nicolau, Ana Lima, Nelson Ferreira, Eugénio C. Mota, M. Vivier, H. |
| Palavras-chave: | Protozoa Image analysis Wastewater treatment Principal component analysis |
| Data: | 1999 |
| Editora: | Kluwer |
| Revista: | Biotechnology Techniques |
| Citação: | “Biotechnology Techniques”. 13:2 (1999) 111–118. |
| Resumo(s): | A programme was created to semi-automatically analyse protozoal digitised images. Principal Component Analysis technique was used for species identification. After data collection and mathematical treatment, a threedimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified. |
| Tipo: | Artigo |
| URI: | https://hdl.handle.net/1822/135 |
| DOI: | 10.1023/A:1008850701796 |
| ISSN: | 0951-208X |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | DCILM - Artigos (Papers) |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Biotechnology Techniques.pdf | 185,21 kB | Adobe PDF | Ver/Abrir |
