ISSN:
1573-6784
Keywords:
protozoa
;
image analysis
;
wastewater treatment
;
principal component analysis
Source:
Springer Online Journal Archives 1860-2000
Topics:
Process Engineering, Biotechnology, Nutrition Technology
Notes:
Abstract 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.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008850701796
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