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dc.contributor.author
Beszteri, Bank  
dc.contributor.author
Allen, Claire  
dc.contributor.author
Almandoz, Gaston Osvaldo  
dc.contributor.author
Armand, Leanne  
dc.contributor.author
Barcena, María Ángeles  
dc.contributor.author
Cantzler, Hannelore  
dc.contributor.author
Crosta, Xavier  
dc.contributor.author
Esper, Oliver  
dc.contributor.author
Jordan, Richard W.  
dc.contributor.author
Rigual Hernández, Andrés S.  
dc.contributor.author
Klaas, Christine  
dc.contributor.author
Kloster, Michael  
dc.contributor.author
Leventer, Amy  
dc.contributor.author
Pike, Jennifer  
dc.contributor.author
Rigual Hernández, Andrés S.  
dc.date.available
2021-05-14T15:49:05Z  
dc.date.issued
2018-10  
dc.identifier.citation
Beszteri, Bank; Allen, Claire; Almandoz, Gaston Osvaldo; Armand, Leanne; Barcena, María Ángeles; et al.; Quantitative comparison of taxa and taxon concepts in the diatom genus Fragilariopsis: a case study on using slide scanning, multiexpert image annotation, and image analysis in taxonomy1; Wiley Blackwell Publishing, Inc; Journal Of Phycology; 54; 5; 10-2018; 703-719  
dc.identifier.issn
0022-3646  
dc.identifier.uri
http://hdl.handle.net/11336/132083  
dc.description.abstract
Semiautomated methods for microscopic image acquisition, image analysis, and taxonomic identification have repeatedly received attention in diatom analysis. Less well studied is the question whether and how such methods might prove useful for clarifying the delimitation of species that are difficult to separate for human taxonomists. To try to answer this question, three very similar Fragilariopsis species endemic to the Southern Ocean were targeted in this study: F. obliquecostata, F. ritscheri, and F. sublinearis. A set of 501 extended focus depth specimen images were obtained using a standardized, semiautomated microscopic procedure. Twelve diatomists independently identified these specimen images in order to reconcile taxonomic opinions and agree upon a taxonomic gold standard. Using image analyses, we then extracted morphometric features representing taxonomic characters of the target taxa. The discriminating ability of individual morphometric features was tested visually and statistically, and multivariate classification experiments were performed to test the agreement of the quantitatively defined taxa assignments with expert consensus opinion. Beyond an updated differential diagnosis of the studied taxa, our study also shows that automated imaging and image analysis procedures for diatoms are coming close to reaching a broad applicability for routine use.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
AUTOMATIC DIATOM IDENTIFICATION  
dc.subject
BACILLARIOPHYTA  
dc.subject
HIGH THROUGHPUT MICROSCOPY  
dc.subject
IMAGE ANALYSIS  
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MORPHOMETRICS  
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SHERPA  
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TAXONOMIC AGREEMENT  
dc.subject.classification
Otros Tópicos Biológicos  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Quantitative comparison of taxa and taxon concepts in the diatom genus Fragilariopsis: a case study on using slide scanning, multiexpert image annotation, and image analysis in taxonomy1  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-04-28T20:10:28Z  
dc.journal.volume
54  
dc.journal.number
5  
dc.journal.pagination
703-719  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Beszteri, Bank. Alfred-Wegener-Institut. Helmholtz-Zentrum für Polar und Meeresforschung; Alemania  
dc.description.fil
Fil: Allen, Claire. British Antartic Survey; Reino Unido  
dc.description.fil
Fil: Almandoz, Gaston Osvaldo. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. División Ficología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina  
dc.description.fil
Fil: Armand, Leanne. The Australian National University; Australia  
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Fil: Barcena, María Ángeles. Universidad de Salamanca; España  
dc.description.fil
Fil: Cantzler, Hannelore. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania  
dc.description.fil
Fil: Crosta, Xavier. Universite de Bordeaux; Francia  
dc.description.fil
Fil: Esper, Oliver. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania  
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Fil: Jordan, Richard W.. Yamagata University; Japón  
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Fil: Rigual Hernández, Andrés S.. Universidad de Salamanca; España  
dc.description.fil
Fil: Klaas, Christine. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania  
dc.description.fil
Fil: Kloster, Michael. Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; Alemania  
dc.description.fil
Fil: Leventer, Amy. Colgate University; Estados Unidos  
dc.description.fil
Fil: Pike, Jennifer. Cardiff University; Reino Unido  
dc.description.fil
Fil: Rigual Hernández, Andrés S.. Universidad de Salamanca; España  
dc.journal.title
Journal Of Phycology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jpy.12767  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/full/10.1111/jpy.12767