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Semi-automated recognition of protozoa by image analysis

  • Published:
Biotechnology Techniques

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.

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Authors and Affiliations

  1. Centro de Engenharia Biológica - IBQF, Universidade do Minho, 4700, Braga, Portugal

    A.L. Amaral, A. Nicolau, N. Lima, E.C. Ferreira & M. Mota

  2. Laboratoire des Sciences du Génie Chimique – ENSIC, Nancy, France

    C. Baptiste, M.N. Pons & H. Vivier

Authors
  1. A.L. Amaral
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  2. C. Baptiste
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  3. M.N. Pons
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  4. A. Nicolau
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  5. N. Lima
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  6. E.C. Ferreira
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  7. M. Mota
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  8. H. Vivier
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Amaral, A., Baptiste, C., Pons, M. et al. Semi-automated recognition of protozoa by image analysis. Biotechnology Techniques 13, 111–118 (1999). https://doi.org/10.1023/A:1008850701796

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  • DOI: https://doi.org/10.1023/A:1008850701796

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