Semi-automated recognition of protozoa by image analysis

Semi-automated recognition of protozoa by image analysis

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 three-dimensional representation was generated and several protozoa (Opercularia, Colpidiu...

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Veröffentlicht in:Biotechnology techniques 1999, Vol.13 (2), p.111-118
Hauptverfasser: AMARAL, A. L, BAPTISTE, C, PONS, M. N, NICOLAU, A, LIMA, N, FERREIRA, E. C, MOTA, M, VIVIER, H
Format: Artikel
Sprache:eng
Schlagworte:
Biological and medical sciences
Chemical and Process Engineering
Colpidium
Engineering Sciences
Fundamental and applied biological sciences. Psychology
General aspects and techniques
Glaucoma
Opercularia
Prorodon
Protozoa
Tetrahymena
Trachelophyllum
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Beschreibung
Zusammenfassung: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 three-dimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified.
ISSN:0951-208X
1573-6784
DOI:10.1023/A:1008850701796