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Development of a New Index to Evaluate Zooplanktons’ Gonads: An Approach Based on a Suitable Combination of Deformable Models

  • M. Ramiro Pastorinho
  • Miguel A. Guevara
  • Augusto Silva
  • Luis Coelho
  • Fernando Morgado
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3773)

Abstract

Acartia tonsa was used as model to establish an index for oocyte maturity determination in zooplankters based in citometry and histochemical evaluation of gonadic masses. Biometry was performed using an ocular micrometer and nucleus/cytoplasm ratios were obtained characterizing each of the three identified stages: Immature, Vitellogenic and Mature. This paper presents a novel approach since it joins (and, indeed, reinforces) the index framework with the evaluation of the same biological samples by a suitable combination of deformable models. Nucleus contour is identified through Active Shape Models techniques, and cytoplasm contour’s detected through parametric Snakes, with prior image preprocessing based on statistical and mathematical morphology techniques. Morphometric parameters such as nucleus and cytoplasm area and ratio between them are then easily computed. As a result the dataset validated the applied methodology with a realistic background and a new, more accurate and ecologically realistic index for oocyte staging emerged.

Keywords

Deformable Model Suitable Combination Active Shape Model Gradient Vector Flow Oocyte Size 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • M. Ramiro Pastorinho
    • 1
  • Miguel A. Guevara
    • 2
  • Augusto Silva
    • 3
  • Luis Coelho
    • 3
  • Fernando Morgado
    • 1
  1. 1.Biology DepartmentUniversity of AveiroAveiroPortugal
  2. 2.Computer Sciences FacultyUniversity of Ciego de AvilaCiego de AvilaCuba
  3. 3.IEETAUniversity of AveiroAveiroPortugal

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