Modern Trends in Diatom Identification
Fundamentals and Applications
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Beschreibung
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.
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.
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
Autor*in
Gabriel Cristóbal
Themen in »Modern Trends in Diatom Identification«
Diatom Water quality Forensics Limnology Climate change Paleolimnology Taxonomy Image processing Pattern recognition water quality and water pollution Systematic Botany Biological Microscopy