LEADER 04105nam 22007815 450 001 9910409691203321 005 20250610110552.0 010 $a3-030-39212-0 024 7 $a10.1007/978-3-030-39212-3 035 $a(CKB)4100000011273717 035 $a(MiAaPQ)EBC6213147 035 $a(DE-He213)978-3-030-39212-3 035 $a(PPN)248395238 035 $a(MiAaPQ)EBC6213093 035 $a(MiAaPQ)EBC29093129 035 $a(EXLCZ)994100000011273717 100 $a20200528d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModern Trends in Diatom Identification $eFundamentals and Applications /$fedited by Gabriel Cristóbal, Saúl Blanco, Gloria Bueno 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (294 pages) 225 1 $aDevelopments in Applied Phycology,$x2543-0602 ;$v10 311 08$a3-030-39211-2 327 $aPart 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. 330 $aHigh-resolution images of phytoplankton cells such as diatoms or desmids, which are useful for monitoring water quality, can now be provided by digital microscopes, facilitating the automated analysis and identification of specimens. Conventional approaches are based on optical microscopy; however, manual image analysis is impractical due to the huge diversity of this group of microalgae and its great morphological plasticity. As such, there is a need for automated recognition techniques for diagnostic tools (e.g. environmental monitoring networks, early warning systems) to improve the management of water resources and decision-making processes. Describing the entire workflow of a bioindicator system, from capture, analysis and identification to the determination of quality indices, this book provides insights into the current state-of-the-art in automatic identification systems in microscopy. . 410 0$aDevelopments in Applied Phycology,$x2543-0602 ;$v10 606 $aFreshwater ecology 606 $aMarine ecology 606 $aWater 606 $aHydrology 606 $aPlants$xEvolution 606 $aBiophysics 606 $aFreshwater and Marine Ecology 606 $aWater 606 $aPlant Evolution 606 $aBioanalysis and Bioimaging 606 $aDiatomees$2thub 606 $aTaxonomia (Biologia)$2thub 608 $aLlibres electrònics$2thub 615 0$aFreshwater ecology. 615 0$aMarine ecology. 615 0$aWater. 615 0$aHydrology. 615 0$aPlants$xEvolution. 615 0$aBiophysics. 615 14$aFreshwater and Marine Ecology. 615 24$aWater. 615 24$aPlant Evolution. 615 24$aBioanalysis and Bioimaging. 615 7$aDiatomees 615 7$aTaxonomia (Biologia) 676 $a579.85 676 $a579.85 702 $aCristóbal$b Gabriel$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBlanco$b Saúl$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBueno$b Gloria$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910409691203321 996 $aModern Trends in Diatom Identification$92139475 997 $aUNINA