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Semi-automated recognition of protozoa by image analysis
Amaral, A. L.; Baptiste, C.; Pons, M. N.; Nicolau, Ana; Lima, Nelson; Ferreira, E. C.; Mota, M.; Vivier, H.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.
Data: 1999
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Origem: RepositóriUM - Universidade do Minho
Automated characterization of protozoa in activated sludge
Baptiste, C.; Amaral, A. L.; Nicolau, Ana; Pons, M. N.; Lima, Nelson; Ferreira, E. C.; Mota, M.; Vivier, H.
Data: 1998
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Origem: RepositóriUM - Universidade do Minho
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