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Modern Trends in Diatom Identification

Fundamentals and Applications

  • Gabriel Cristóbal
  • Saúl Blanco
  • Gloria Bueno
Book

Part of the Developments in Applied Phycology book series (DAPH, volume 10)

Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Fundamentals

    1. Front Matter
      Pages 1-1
    2. Gabriel Cristóbal, Saúl Blanco, Gloria Bueno
      Pages 3-10
    3. Saúl Blanco
      Pages 25-38
  3. Sensing

    1. Front Matter
      Pages 51-51
    2. J. Piper
      Pages 95-111
    3. Carlos Sánchez, Jesús Ruiz-Santaquiteria Alegre, José Luis Espinosa Aranda, Jesús Salido
      Pages 113-131
  4. Analysis

    1. Front Matter
      Pages 133-133
    2. Gloria Bueno, Manuel G. Forero, Carlos A. Jacanamejoy, J. Alejandro Libreros, M. Milagro Fernandez-Carrobles, Oscar Deniz
      Pages 135-149
    3. Noelia Vallez, Anibal Pedraza, Carlos Sánchez, Jesus Salido, Oscar Deniz, Gloria Bueno
      Pages 151-164
    4. Harbinder Singh, Gabriel Cristóbal, Vinay Kumar
      Pages 165-181
    5. Ecaterina Fodor, Ovidiu Ioan Hâruța
      Pages 197-217
  5. Applications

    1. Front Matter
      Pages 219-219
    2. A. Goldenberg-Vilar, R. Álvarez-Troncoso, V. Roldán, Saúl Blanco
      Pages 221-237
    3. Eloy Girela-Lopez, Cristina M. Beltran-Aroca, Herminia García-Mozo
      Pages 239-256
  6. Back Matter
    Pages 281-294

About this book

Introduction

High-resolution images of phytoplankton cells such as diatoms or desmids, which are useful for monitoring water quality, can now be provided by digital microscopes, facilitating the automated analysis and identification of specimens. Conventional approaches are based on optical microscopy; however, manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity. 


As such, there is a need for automated recognition techniques for diagnostic tools (e.g. environmental monitoring networks, early warning systems) to improve the management of water resources and decision-making processes. Describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of quality indices, this book provides insights into the current state-of-the-art in automatic identification systems in microscopy. 


Keywords

Diatom Water quality Forensics Limnology Climate change Paleolimnology Taxonomy Image processing Pattern recognition

Editors and affiliations

  • Gabriel Cristóbal
    • 1
  • Saúl Blanco
    • 2
  • Gloria Bueno
    • 3
  1. 1.Instituto de Optica (CSIC)MadridSpain
  2. 2.Facultad de Ciencias Biológicas y Ambientales, Departamento de Biodiversidad y Gestión Ambiental, Universidad de LeónLaboratorio de diatomología y calidad de aguas, Instituto de Investigación de Medio Ambiente, Recursos Naturales y BiodiversidadLeónSpain
  3. 3.VISILABUniversidad de Castilla-La ManchaCiudad RealSpain

Bibliographic information