Semi-automated recognition of protozoa by image analysis

• Autor(es): Amaral, A. L. ; Baptiste, C. ; Pons, M. N. ; Nicolau, Ana ; Lima, Nelson ; Ferreira, E. C. ; Mota, M. ; Vivier, H.
• Data: 1999
• Identificador Persistente: http://hdl.handle.net/1822/135
• Origem: RepositóriUM - Universidade do Minho
• Assunto(s): Protozoa; Image analysis; Wastewater treatment; Principal component analysis
• Tipo de Documento: Artigo
• Idioma: Inglês

Descrição

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.