Articles liés à Modelling Plant Science Data: Digital Image Analysis
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A system for monitoring movement of the free-living second stage juveniles of root-knot nematodes (Meloidogyne spp.) using digital image analysis is described. The method is based on the analysis of video sequences of movement of individual nematodes encumbered with or without Pasteuria penetrans endospores. Software packages were used to grab video images, to process images and to monitor the movement of selected body part positions over time. The nematode centroid point and the nematode rectangular shape area were useful tools to estimate the locomotion. Data showed that a) the normal sinusoidal movement of nematodes is changed when individuals are encumbered with endospores of P. penetrans and b) in all cases a significant greater motility was observed by nematodes without P. penetrans endospores attached. Further, we modelled P. penetrans ?over-dispersion' in vitro and in vivo using the Poisson and the Negative Binomial distributions. The negative binomial distribution proved the most appropriate model to fit the observed data sets considering that P. penetrans spores are clumped.
Biographie de l'auteur :
Dr. Ioannis Vagelas is a Lecturer on Plant Pathology in the Department of Plant Production at the Technological Educational Institute of Larissa, Greece, www.teilar.gr. His research and teaching focus on Biocontrol, Plant Diseases and Applied Statistics. He received his Ph.D. from The University of Reading, UK.
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- ÉditeurLAP Lambert Academic Publishing
- Date d'édition2010
- ISBN 10 3838377532
- ISBN 13 9783838377537
- ReliureBroché
- Nombre de pages104
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Description du livre Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A system for monitoring movement of the free-living second stage juveniles of root-knot nematodes (Meloidogyne spp.) using digital image analysis is described. The method is based on the analysis of video sequences of movement of individual nematodes encumbered with or without Pasteuria penetrans endospores. Software packages were used to grab video images, to process images and to monitor the movement of selected body part positions over time. The nematode centroid point and the nematode rectangular shape area were useful tools to estimate the locomotion. Data showed that a) the normal sinusoidal movement of nematodes is changed when individuals are encumbered with endospores of P. penetrans and b) in all cases a significant greater motility was observed by nematodes without P. penetrans endospores attached. Further, we modelled P. penetrans over-dispersion in vitro and in vivo using the Poisson and the Negative Binomial distributions. The negative binomial distribution proved the most appropriate model to fit the observed data sets considering that P. penetrans spores are clumped. 104 pp. Englisch. N° de réf. du vendeur 9783838377537
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Modelling Plant Science Data : Digital Image Analysis
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Description du livre Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A system for monitoring movement of the free-living second stage juveniles of root-knot nematodes (Meloidogyne spp.) using digital image analysis is described. The method is based on the analysis of video sequences of movement of individual nematodes encumbered with or without Pasteuria penetrans endospores. Software packages were used to grab video images, to process images and to monitor the movement of selected body part positions over time. The nematode centroid point and the nematode rectangular shape area were useful tools to estimate the locomotion. Data showed that a) the normal sinusoidal movement of nematodes is changed when individuals are encumbered with endospores of P. penetrans and b) in all cases a significant greater motility was observed by nematodes without P. penetrans endospores attached. Further, we modelled P. penetrans over-dispersion in vitro and in vivo using the Poisson and the Negative Binomial distributions. The negative binomial distribution proved the most appropriate model to fit the observed data sets considering that P. penetrans spores are clumped. N° de réf. du vendeur 9783838377537
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Image d'archives
Modelling Plant Science Data Digital Image Analysis
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LAP LAMBERT Academic Publishing
(2010)
ISBN 10 : 3838377532
ISBN 13 : 9783838377537
Neuf
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Description du livre PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9783838377537
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Modelling Plant Science Data
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ISBN 13 : 9783838377537
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Description du livre Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Vagelas IoannisDr. Ioannis Vagelas is a Lecturer on Plant Pathology in the Department of Plant Production at the Technological Educational Institute of Larissa, Greece, www.teilar.gr. His research and teaching focus on Biocontrol, Pl. N° de réf. du vendeur 5418040
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