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200604 ||| eng |
| 020 |
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|a 9783030392123
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| 100 |
1 |
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|a Cristóbal, Gabriel
|e [editor]
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| 245 |
0 |
0 |
|a Modern Trends in Diatom Identification
|h Elektronische Ressource
|b Fundamentals and Applications
|c edited by Gabriel Cristóbal, Saúl Blanco, Gloria Bueno
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| 250 |
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|a 1st ed. 2020
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2020, 2020
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| 300 |
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|a XXIV, 294 p. 239 illus., 166 illus. in color
|b online resource
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| 505 |
0 |
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|a Part 1: Fundamentals -- Chapter 1: Introduction -- Chapter 2: Diatom Classifications: What Purpose Do They Serve? -- Chapter 3: Diatom Taxonomy And Identification Keys -- Chapter 4: Teratologies/Life Cycle/Ecotoxicology -- Part 2: Sensing -- Chapter 5: Microscope Lighting Techniques -- Chapter 6: Microscope Filtering Techniques -- Chapter 7: Automatization Techniques. Slide Scanning -- Part 3: Analysis -- Chapter 8: Segmentation -- Chapter 9: Feature Extraction And Classification -- Chapter 10: Multifocus And Hdr -- Chapter 11: 3d Imaging -- Chapter 12: Morphometrics -- Part 4: Applications -- Chapter 13: Water Quality Assessment -- Chapter 14: Diatoms In Forensic Analysis -- Chapter 15: Benthic Foraminifera And Diatoms As Ecological Indicators
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| 653 |
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|a Freshwater and Marine Ecology
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| 653 |
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|a Plant Evolution
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| 653 |
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|a Marine ecology
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| 653 |
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|a Freshwater ecology
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| 653 |
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|a Bioanalysis and Bioimaging
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| 653 |
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|a Water
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| 653 |
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|a Plants—Evolution
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| 653 |
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|a Biophysics
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| 653 |
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|a Hydrology
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| 700 |
1 |
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|a Blanco, Saúl
|e [editor]
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| 700 |
1 |
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|a Bueno, Gloria
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Developments in Applied Phycology
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-030-39212-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 577.7
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| 082 |
0 |
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|a 577.6
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| 520 |
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|a 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.
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