FN Archimer Export Format
PT J
TI Application of a digital pattern recognition system to Dinophysis acuminata and D-sacculus complexes
OT Utilisation d'un système d'analyse d'image numérique pour l'étude des complexes Dinophysis acuminata et D. sacculus
BT 
AF TRUQUET, Philippe
   LASSUS, Patrick
   HONSELL, Giorgio
   LE DEAN, Loic
AS 1:1;2:1;3:2;4:3;
FF 1:;2:;3:;4:;
C1 IFREMER Centre de Nantes, BP 1105, 44311 Nantes Cedex 03, France
   Universita degli Studi di Trieste, Via A. Valerio 32/34, 34127 Trieste, Italy
   IFREMER, Centre Océanologique du Pacifique, BP 7004, Taravao, Tahiti, French Polynesia
C2 IFREMER, FRANCE
   UNIV TRIESTE, ITALY
   IFREMER, FRANCE
IN WOS Ifremer jusqu'en 2018
IF 0.942
TC 11
UR https://archimer.ifremer.fr/doc/00188/29890/28337.pdf
LA English
DT Article
DE ;Dinophysis sp.;analyse d'image;taxonomie;phytoplancton;Dinophysis sp;image analysis;taxonomy;phytoplankton
AB 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.
PY 1996
SO Aquatic Living Resources
SN 0990-7440
PU Edp Sciences S A
VL 9
IS 3
UT A1996VD14200009
BP 273
EP 279
DI 10.1051/alr:1996031
ID 29890
ER

EF