Editors:
- Presents a comprehensive overview and update of this multidisciplinary topic
- Provides taxonomic keys for identification
- Includes information on new, curated microalgae databases, open software and conferences/societies, research/educational projects and collections/catalogs
- Describes the full workflow of an automatic identification system, from acquisition to identification
- Discusses the latest deep learning techniques both for segmentation and classification stages
- Explores the use of diatoms and foraminifera for environmental studies
Part of the book series: Developments in Applied Phycology (DAPH, volume 10)
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Table of contents (15 chapters)
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Front Matter
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Applications
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Front Matter
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About this book
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.
Editors and Affiliations
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Instituto de Optica (CSIC), Madrid, Spain
Gabriel Cristóbal
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Facultad de Ciencias Biológicas y Ambientales, Departamento de Biodiversidad y Gestión Ambiental, Universidad de León, Laboratorio de diatomología y calidad de aguas, Instituto de Investigación de Medio Ambiente, Recursos Naturales y Biodiversidad, León, Spain
Saúl Blanco
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VISILAB, Universidad de Castilla-La Mancha, Ciudad Real, Spain
Gloria Bueno
About the editors
Dr. Gabriel Cristobal is currently a Research Scientist at the Instituto de Optica, Spanish Council for Scientific Research (CSIC). He was a Postdoctoral Fellow at the International Computer Science Institute and the Electronic Research Lab (UC Berkeley) from 1989 to 1992. His current research interests are joint representations, vision modelling and multidimensional signal processing. He has been responsible for several national and EU research and development projects. Among them, the ADIAC project (1998-2001) was the first European pilot project in the area of automatic diatom identification. Actually, he is the coordinator of the AQUALITAS project (2015-2018) on the same topic. He was co-editor of the books “Optical and Digital Image Processing” by G. Cristobal, P. Schelkens and H. Thienpont, Wiley VCH, 2011 and “Biologically inspired computer vision” by G. Cristobal, L. Perrinet and M. Keil, Wiley VCH, 2015.
Dr. Saul Blanco is specialized in taxonomy, ecology and biogeography of freshwater diatoms, having established a diatom laboratory in the Institute of the Environment (Leon, Spain) since 2004. The team offers a long experience in the assessment of water quality in several European Basins by means of diatom-based indices. In this regard, they have proposed a new diatom-based index and a national protocol for diatom sampling in shallow lakes for the implementation of the EU Water Framework Directive. Additionally, they can support the development of standard method for sample pre-treatment and lab processing, together with new statistical methods allowing to compare the differential performance of water quality metrics, which has been used in several international studies. He is a research member of the AQUALITAS project in the area of automatic diatom identification.
Dr. Gloria Bueno is Associate Professor in the E.T.S. Industrial Engineers of the UCLM in Ciudad Real since 2003. During the period 1993-1998 she was a professor at the University of Coventry (UK), where she obtained her Doctorate (PhD) in Computer Vision. Since 2003 her work has focused on computer vision and artificial intelligence applications. In this sense, she has been the principal investigator of 16 projects funded in public calls, 3 of them EU. She is a research member of the AQUALITAS project in the area of automatic diatom identification.
Bibliographic Information
Book Title: Modern Trends in Diatom Identification
Book Subtitle: Fundamentals and Applications
Editors: Gabriel Cristóbal, Saúl Blanco, Gloria Bueno
Series Title: Developments in Applied Phycology
DOI: https://doi.org/10.1007/978-3-030-39212-3
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-39211-6Published: 29 May 2020
Softcover ISBN: 978-3-030-39214-7Published: 30 May 2021
eBook ISBN: 978-3-030-39212-3Published: 28 May 2020
Series ISSN: 2543-0599
Series E-ISSN: 2543-0602
Edition Number: 1
Number of Pages: XXIV, 294
Number of Illustrations: 73 b/w illustrations, 166 illustrations in colour
Topics: Freshwater & Marine Ecology, Water Quality/Water Pollution, Plant Systematics/Taxonomy/Biogeography, Biological Microscopy