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Literatura académica sobre el tema "Flowcam-Zooscan"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Flowcam-Zooscan"

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Llopis Monferrer, Natalia, Tristan Biard, Miguel M. Sandin, et al. "Siliceous Rhizaria abundances and diversity in the Mediterranean Sea assessed by combined imaging and metabarcoding approaches." Frontiers in Marine Science 9 (October 10, 2022). http://dx.doi.org/10.3389/fmars.2022.895995.

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Siliceous Rhizaria (polycystine radiolarians and phaeodarians) are significant contributors to carbon and silicon biogeochemical cycles. Considering their broad taxonomic diversity and their wide size range (from a few micrometres up to several millimetres), a comprehensive evaluation of the entire community to carbon and silicon cycles is challenging. Here, we assess the diversity and contribution of silicified Rhizaria to the global biogenic silica stocks in the upper 500 m of the oligotrophic North-Western Mediterranean Sea using both imaging (FlowCAM, Zooscan and Underwater Vision Profiler

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Wacquet, Guillaume, and Alain Lefebvre. "EcoTransLearn: an R-package to easily use Transfer Learning for Ecological Studies. A plankton case study." Bioinformatics, October 25, 2022. http://dx.doi.org/10.1093/bioinformatics/btac703.

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Abstract Summary In recent years, Deep Learning (DL) has been increasingly used in many fields, in particular in image recognition, due to its ability to solve problems where traditional machine learning algorithms fail. However, building an appropriate DL model from scratch, especially in the context of ecological studies, is a difficult task due to the dynamic nature and morphological variability of living organisms, as well as the high cost in terms of time, human resources and skills required to label a large number of training images. To overcome this problem, Transfer Learning (TL) can b

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Pierella Karlusich, Juan José, Fabien Lombard, Jean-Olivier Irisson, Chris Bowler, and Rachel A. Foster. "Coupling Imaging and Omics in Plankton Surveys: State-of-the-Art, Challenges, and Future Directions." Frontiers in Marine Science 9 (June 3, 2022). http://dx.doi.org/10.3389/fmars.2022.878803.

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A major challenge in characterizing plankton communities is the collection, identification and quantification of samples in a time-efficient way. The classical manual microscopy counts are gradually being replaced by high throughput imaging and nucleic acid sequencing. DNA sequencing allows deep taxonomic resolution (including cryptic species) as well as high detection power (detecting rare species), while RNA provides insights on function and potential activity. However, these methods are affected by database limitations, PCR bias, and copy number variability across taxa. Recent developments

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Mériguet, Zoé, Marion Vilain, Alberto Baudena, et al. "Plankton community structure in response to hydrothermal iron inputs along the Tonga-Kermadec arc." Frontiers in Marine Science 10 (October 4, 2023). http://dx.doi.org/10.3389/fmars.2023.1232923.

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The Western Tropical South Pacific (WTSP) basin has been identified as a hotspot of atmospheric dinitrogen fixation due to the high dissolved iron ([DFe]) concentrations (up to 66 nM) in the photic layer linked with the release of shallow hydrothermal fluids along the Tonga-Kermadec arc. Yet, the effect of such hydrothermal fluids in structuring the plankton community remains poorly studied. During the TONGA cruise (November-December 2019), we collected micro- (20-200 μm) and meso-plankton (&gt;200 μm) samples in the photic layer (0-200 m) along a west to east zonal transect crossing the T

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Tesis sobre el tema "Flowcam-Zooscan"

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Feliu, Guillermo. "Study of the mesozooplankton community structure and trophic role in the Mediterranean Sea during two large scale oceanographic surveys PEACETIME and MOOSE in 2017." Electronic Thesis or Diss., Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0059.

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Le mésozooplancton joue un rôle clé dans les écosystèmes pélagiques méditerranéens, comme intermédiaire entre les niveaux trophiques inférieurs et supérieurs. Dans cette thèse, nous avons recherché la meilleure combinaison de mailles de filets de prélèvement et de techniques d'analyse des échantillons (FlowCAM et ZOOSCAN) pour délivrer la plus complète estimation de l’abondance, la structure de taille et les taux trophiques et métaboliques associés. Cette étude a été réalisée à partir d'échantillons prélevés à deux stations JULIO et ANTARES de Méditerranée nord-ouest.Ensuite, nous avons appliq

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