Semi-automated recognition of protozoa by image analysis

Authors
Amaral, AL Baptiste, C Pons, MN Nicolau, A Lima, N Ferreira, EC Mota, M Vivier, H
Citation
Al. Amaral et al., Semi-automated recognition of protozoa by image analysis, BIOTECH TEC, 13(2), 1999, pp. 111-118
Citations number
20
Categorie Soggetti
Biotecnology & Applied Microbiology
Journal title
BIOTECHNOLOGY TECHNIQUES
ISSN journal
0951208X → ACNP
Volume
13
Issue
2
Year of publication
1999
Pages
111 - 118
Database
ISI
SICI code
0951-208X(199902)13:2<111:SROPBI>2.0.ZU;2-I
Abstract
A programme was created to semi-automatically analyse protozoal digitised i mages. Principal Component Analysis technique was used for species identifi cation. After data collection and mathematical treatment, a three-dimension al representation was generated and several protozoa (Opercularia, Colpidiu m, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be po sitively identified.