Data/hora: 10/06/2024 17:18:24

Provedor de dados: 	5	
País: 	France	
Título: 	Utilisation conjointe de FlowCAM / ZooPhytoImage et de la cytométrie en flux. Premiers résultats et perspectives. Action 9. FlowCam ZooPhytoImage. Livrable n° 4. Rapport final, 23 septembre 2014	
Autores: 	Ali, Nour; Wacquet, Guillaume; Didry, Morgane; Hamad, Denis; Artigas, Luis Felipe; Grosjean, Philippe.	
Data: 	2014	
Ano: 	2014	
Palavras-chave: 	Manche – Mer du Nord; Phytoplancton; Analyse d'image; Classification supervisée; Cytométrie en flux; Eastern English Channel and southern North Sea; Phytoplankton; Image analysis; Machine learning; Scanning Flow Cytometry.	
Resumo: 	The goal of this study is to investigate about the possibility of coupling measurements made by image analysis from the FlowCAM with Zoo/PhytoImage with data obtained with a flux cytometer (pulse-shape-recording Scanning Flow Cytometry) on the same samples gathered in current monitoring networks in the eastern Channel and southern North Sea. In this preliminary study, we collected a series of samples off Boulogne-sur-Mer (SRN-REPHY monitoring system run by IFREMER) and along a transect in the Baie St-Jean (Wimereux-Slack) run by LOG. All these samples were digitized with a FlowCAM and measured with a scanning flow cytometer (CytoSense). The complete analysis with the FlowCAM and Zoo/PhytoImage is detailed in the present report. In order to get a better comparison between image analysis and cytometer profiles, a local analysis at the scale of the pixel was initiated on the pictures. This analysis looks for repetitive patterns (textures) either using local binary patterns or co-occurrence matrices. In addition to the traditional analysis by Zoo/PhytoImage, it appears that the local binary patterns or co-occurrence matrices only bring a marginal decrease of the global error of 1 to 2%. However, several groups were much better discriminated by using texture information. It is the case of Chaeotceros sp, Pseudo-Nitzschia spp, or Ditilum brightwellii with a gain of 15 to 50% in the correct classification. Comparison with flux cytometry should be further developed in the future.	
Tipo: 	Text	
Idioma: 	Francês	
Identificador: 	http://archimer.ifremer.fr/doc/00363/47442/47470.pdf

http://archimer.ifremer.fr/doc/00363/47442/	
Formato: 	application/pdf	
Fonte: 	2014 ONEMA, Ifremer

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