Data/hora: 07/06/2024 02:19:23

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

info:eu-repo/semantics/openAccess

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