Document généré le 16/04/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/application-of-a-digital-pattern-recognition-system-to
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
EDP Sciences
Identifiant documentaire
10-1996031
Identifiant OAI
oai:edpsciences.org:dkey/10.1051/alr:1996031
Auteur(s):
Philippe Truquet,Patrick Lassus,Giorgio Honsell,Loïc Le Déan
Mots clés
sp.
image analysis
taxonomy
phytoplankton
sp.
analyse d'image
taxonomie
phytoplancton
Date de publication
15/07/1996
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
en
Thème
Type de ressource
Source
https://doi.org/10.1051/alr:1996031
Droits de réutilisation
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Département
Commune
Description
An image discrimination technique was developed to improve specific identification of some toxic Dinophysis cells (marine dinoflagellates involved in diarrhoeic shellfish poisoning), especially the "acuminata" and "sacculus" groups, which can be present at different ratios in natural sea-water samples collected during toxic episodes. This work was performed with image analysis software SAMBA (TITN Alcatel) using preserved cells directly observed through an inverted microscope and recorded with a video camera before further processing. All morphometric parameters used for discrimination of 7 different species or morphotypes of Dinophysis were tested with discriminant analysis. This study indicates that
Dinophysis sp. and D. pavillardi seem well classified at the species level, whereas D. cf. acuminata and D. sacculus appear to be morphotypes of D. acuminata.
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