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Journal articles on the topic 'Plankton images'

Author: Grafiati

Published: 25 May 2024

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1

Prakasa, E., A. Rachman, D. R. Noerdjito, and R. Wardoyo. "Development of segmentation algorithm for determining planktonic objects from microscopic images." IOP Conference Series: Earth and Environmental Science 944, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1755-1315/944/1/012025.

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Abstract Plankton are free-floating organisms that live, grow, and move along with the ocean currents. This free-floating organism plays important roles as primary producers, they serve as a link to energy transfer, and a factor that regulates the biogeochemical cycles. Indonesia, with almost 60% of its territory covered by the ocean, harbours a wide variety of planktonic species. However, one of the issues within usual planktonic studies is the lack of a fast and accurate method for identifying and classifying the plankton type. Thus, the computer vision methods on microscopic images were pro

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Campbell, R. W., P. L. Roberts, and J. Jaffe. "The Prince William Sound Plankton Camera: a profiling in situ observatory of plankton and particulates." ICES Journal of Marine Science 77, no. 4 (2020): 1440–55. http://dx.doi.org/10.1093/icesjms/fsaa029.

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Abstract A novel plankton imager was developed and deployed aboard a profiling mooring in Prince William Sound in 2016–2018. The imager consisted of a 12-MP camera and a 0.137× telecentric lens, along with darkfield illumination produced by an in-line ring/condenser lens system. Just under 2.5 × 106 images were collected during 3 years of deployments. A subset of almost 2 × 104 images was manually identified into 43 unique classes, and a hybrid convolutional neural network classifier was developed and trained to identify the images. Classification accuracy varied among the different classes, a

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Shahani, Kamran, Hong Song, Syed Raza Mehdi, et al. "Design and Testing of an Underwater Microscope with Variable Objective Lens for the Study of Benthic Communities." Journal of Marine Science and Application 20, no. 1 (2021): 170–78. http://dx.doi.org/10.1007/s11804-020-00185-9.

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AbstractMonitoring the ecology and physiology of corals, sediments, planktons, and microplastic at a suitable spatial resolution is of great importance in oceanic scientific research. To meet this requirement, an underwater microscope with an electrically controlled variable lens was designed and tested. The captured microscopic images of corals, sediments, planktons, and microplastic revealed their physical, biological, and morphological characteristics. Further studies of the images also revealed the growth, degradation, and bleaching patterns of corals; the presence of plankton communities;

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Karmini, Mimin, and H. Yuniarto. "BIOSTRATIGRAFI FORAMINIFERA KUARTER PADA BOR INTI MD 982152 DAN 982155 DARI SAMUDRA HINDIA." JURNAL GEOLOGI KELAUTAN 11, no. 2 (2016): 55. http://dx.doi.org/10.32693/jgk.11.2.2013.231.

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Dari bor inti pada EKSPEDISI IMAGES, di Samudra Hindia, telah diteliti sebanyak 21 percontoh sedimen dari lokasi MD 982152, dan 29 buah dari lokasi MD 982155 untuk kepentingan biostratigrafi berdasarkan analisis foraminifera plankton dalam interval 1,5 meter.  Pada kedua penampang bor inti tersebut hanya dijumpai satu zona foraminifera plankton Kuarter, yaitu Zona Globorotalia truncatulinoides. Untuk MD 982152, zona ini bisa dibagi ke dalam dua subzona, yakni Subzona-subzona Globorotalia crassaformis hessi dan Globigerinella calida, sedangkan untuk MD 982155, zona tersebut bisa dibagi la

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Luo, T., K. Kramer, D. B. Goldgof, et al. "Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 4 (2004): 1753–62. http://dx.doi.org/10.1109/tsmcb.2004.830340.

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Cheng, Xuemin, Yong Ren, Kaichang Cheng, Jie Cao, and Qun Hao. "Method for Training Convolutional Neural Networks for In Situ Plankton Image Recognition and Classification Based on the Mechanisms of the Human Eye." Sensors 20, no. 9 (2020): 2592. http://dx.doi.org/10.3390/s20092592.

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In this study, we propose a method for training convolutional neural networks to make them identify and classify images with higher classification accuracy. By combining the Cartesian and polar coordinate systems when describing the images, the method of recognition and classification for plankton images is discussed. The optimized classification and recognition networks are constructed. They are available for in situ plankton images, exploiting the advantages of both coordinate systems in the network training process. Fusing the two types of vectors and using them as the input for conventiona

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Schröder, Simon-Martin, Rainer Kiko, and Reinhard Koch. "MorphoCluster: Efficient Annotation of Plankton Images by Clustering." Sensors 20, no. 11 (2020): 3060. http://dx.doi.org/10.3390/s20113060.

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In this work, we present MorphoCluster, a software tool for data-driven, fast, and accurate annotation of large image data sets. While already having surpassed the annotation rate of human experts, volume and complexity of marine data will continue to increase in the coming years. Still, this data requires interpretation. MorphoCluster augments the human ability to discover patterns and perform object classification in large amounts of data by embedding unsupervised clustering in an interactive process. By aggregating similar images into clusters, our novel approach to image annotation increas

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Ohman, Mark D. "A sea of tentacles: optically discernible traits resolved from planktonic organisms in situ." ICES Journal of Marine Science 76, no. 7 (2019): 1959–72. http://dx.doi.org/10.1093/icesjms/fsz184.

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Abstract Trait-based simplifications of plankton community structure require accurate assessment of trait values as expressed in situ. Yet planktonic organisms live suspended in a fluid medium and often bear elongate appendages, delicate feeding structures, and mucous houses that are badly damaged upon capture or removal from the fluid environment. Fixatives further distort organisms. In situ imaging of zooplankton from a fully autonomous Zooglider reveals a suite of trait characteristics that often differ markedly from those inferred from conventionally sampled plankton. In situ images show f

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Mcnair, Heather, Courtney Nicole Hammond, and Susanne Menden-Deuer. "Phytoplankton carbon and nitrogen biomass estimates are robust to volume measurement method and growth environment." Journal of Plankton Research 43, no. 2 (2021): 103–12. http://dx.doi.org/10.1093/plankt/fbab014.

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Abstract Phytoplankton biomass is routinely estimated using relationships between cell volume and carbon (C) and nitrogen (N) content that have been defined using diverse plankton that span orders of magnitude in size. Notably, volume has traditionally been estimated with geometric approximations of cell shape using cell dimensions from planar two-dimensional (2D) images, which requires assumptions about the third, depth dimension. Given advances in image processing, we examined how cell volumes determined from three-dimensional (3D), confocal images affected established relationships between

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Luo, T., K. Kramer, D. B. Goldgof, et al. "Errata to “Recognizing Plankton Images From the Shadow Image Particle Profiling Evaluation Recorder”." IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics) 34, no. 6 (2004): 2423. http://dx.doi.org/10.1109/tsmcb.2004.837353.

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Pérez-Enríquez, Ricardo, Alejandra Arciniega, Noé Díaz-Viloria, and Salvador E. Lluch-Cota. "Diversity of planktonic gastropods from western Baja California Peninsula assessed by 18S rDNA sequences." Revista Mexicana de Biodiversidad 94 (May 24, 2023): e944968. http://dx.doi.org/10.22201/ib.20078706e.2023.94.4968.

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The study of planktonic mollusks is a relevant element to understand the dynamics of the benthic communities under present and future environmental conditions. We present the description of the biodiversity of planktonic gastropods at 2 sampling sites on the Pacific coast of the Baja California Peninsula, Mexico. Organisms collected from plankton tows at 2 locations (Cabo Tosco, n = 89 and La Bocana, n = 213) were sequenced for a portion of the 18S rDNA gene. High diversity was registered, with 71 Molecular Operational Taxonomic Units (MOTUs), which contrasts with the low phenotypic diversity

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Blackburn, Nicholas, Åke Hagström, Johan Wikner, Rocio Cuadros-Hansson, and Peter Koefoed Bjørnsen. "Rapid Determination of Bacterial Abundance, Biovolume, Morphology, and Growth by Neural Network-Based Image Analysis." Applied and Environmental Microbiology 64, no. 9 (1998): 3246–55. http://dx.doi.org/10.1128/aem.64.9.3246-3255.1998.

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ABSTRACT Annual bacterial plankton dynamics at several depths and locations in the Baltic Sea were studied by image analysis. Individual bacteria were classified by using an artificial neural network which also effectively identified nonbacterial objects. Cell counts and frequencies of dividing cells were determined, and the data obtained agreed well with visual observations and previously published values. Cell volumes were measured accurately by comparison with bead standards. The survey included 690 images from a total of 138 samples. Each image contained approximately 200 bacteria. The ima

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Lang, Kaiqi, Hui Cai, and Xiaoping Wang. "A Plankton Detection Method Based on Neural Networks and Digital Holographic Imaging." Chemosensors 10, no. 6 (2022): 217. http://dx.doi.org/10.3390/chemosensors10060217.

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Detecting marine plankton by means of digital holographic microscopy (DHM) has been successfully deployed in recent decades; however, in most previous studies, the identification of the position, shape, and size of plankton has been neglected, which may negate some of the advantages of DHM. Therefore, the procedure of image fusion has been added between the reconstruction of initial holograms and the final identification, which could help present all the images of plankton clearly in a volume of seawater. A new image fusion method called digital holographic microscopy-fully convolutional netwo

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Swartzman, Gordon, Richard Brodeur, Jeffrey Napp, et al. "Relating spatial distributions of acoustically determined patches of fish and plankton: data viewing, image analysis, and spatial proximity." Canadian Journal of Fisheries and Aquatic Sciences 56, S1 (1999): 188–98. http://dx.doi.org/10.1139/f99-206.

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We developed a point-and-click acoustic data viewer (FishViewer) for exploratory comparison of up to three acoustic survey transects (or three frequencies) at a time and other environmental and biological data (e.g., surface temperature and seabird abundance). FishViewer also contains image-processing tools (e.g., morphological and threshold filters) for distinguishing between fish shoals and plankton patches and for patch identification. These tools and methods are illustrated using survey data collected at three frequencies (38, 120, and 200 kHz) near the Pribilof Islands, Bering Sea, during

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Moberg, Emily A., and Heidi M. Sosik. "Distance maps to estimate cell volume from two-dimensional plankton images." Limnology and Oceanography: Methods 10, no. 4 (2012): 278–88. http://dx.doi.org/10.4319/lom.2012.10.278.

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Pereira, G. C., A. R. Figueiredo, and N. F. F. Ebecken. "Using in situ flow cytometry images of ciliates and dinoflagellates for aquatic system monitoring." Brazilian Journal of Biology 78, no. 2 (2017): 240–47. http://dx.doi.org/10.1590/1519-6984.05016.

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Abstract Short-period variability in plankton communities is poorly documented, especially for variations occurring in specific groups in the assemblage because traditional analysis is laborious and time-consuming. Moreover, it does not allow the high sampling frequency required for decision making. To overcome this limitation, we tested the submersible CytoSub flow cytometer. This device was anchored at a distance of approximately 10 metres from the low tide line at a depth of 1.5 metres for 12 hours to monitor the plankton at a site in the biological reserve of Barra da Tijuca beach, Rio de

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Sun, H., P. W. Benzie, N. Burns, D. C. Hendry, M. A. Player, and J. Watson. "Underwater digital holography for studies of marine plankton." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1871 (2008): 1789–806. http://dx.doi.org/10.1098/rsta.2007.2187.

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Conventional and digital holographies are proving to be increasingly important for studies of marine zooplankton and other underwater biological applications. This paper reports on the use of a subsea digital holographic camera (eHoloCam) for the analysis and identification of marine organisms and other subsea particles. Unlike recording on a photographic film, a digital hologram (e-hologram) is recorded on an electronic sensor and reconstructed numerically in a computer by simulating the propagation of the optical field in space. By comparison with other imaging techniques, an e-hologram has

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Wilborn, Rachel E., Christopher N. Rooper, Pam Goddard, Kresimir Williams, and Rick Towler. "A novel design for sampling benthic zooplankton communities in disparate Gulf of Alaska habitats using an autonomous deep-water plankton pump." Journal of Plankton Research 42, no. 4 (2020): 457–66. http://dx.doi.org/10.1093/plankt/fbaa030.

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Abstract Deep-water larval fish and zooplankton utilize structurally complex, cold-water coral and sponge (CWCS) habitats as refuges, nurseries and feeding grounds. Fine-scale sampling of these habitats for larval fish and zooplankton has proven difficult. This study implemented a newly designed, autonomous, noninvasive plankton pump sampler that collected large mesozooplankton within 1 m of the seafloor. It was successfully deployed in the western Gulf of Alaska between the Shumagin Islands (~158°W) and Samalga Pass (−170°W), and collected in situ zooplankton from diverse benthic communities

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Cheng, Xuemin, Kaichang Cheng, and Hongsheng Bi. "Dynamic Downscaling Segmentation for Noisy, Low-Contrast in Situ Underwater Plankton Images." IEEE Access 8 (2020): 111012–26. http://dx.doi.org/10.1109/access.2020.3001613.

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Jiao, Qingliang, Ming Liu, Pengyu Li, et al. "Underwater Image Restoration via Non-Convex Non-Smooth Variation and Thermal Exchange Optimization." Journal of Marine Science and Engineering 9, no. 6 (2021): 570. http://dx.doi.org/10.3390/jmse9060570.

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The quality of underwater images is an important problem for resource detection. However, the light scattering and plankton in water can impact the quality of underwater images. In this paper, a novel underwater image restoration based on non-convex, non-smooth variation and thermal exchange optimization is proposed. Firstly, the underwater dark channel prior is used to estimate the rough transmission map. Secondly, the rough transmission map is refined by the proposed adaptive non-convex non-smooth variation. Then, Thermal Exchange Optimization is applied to compensate for the red channel of

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Rosa, Judson, Thiago Matos, Débora da Silva, et al. "Seasonal Changes in the Size Distribution of Copepods Is Affected by Coastal Upwelling." Diversity 15, no. 5 (2023): 637. http://dx.doi.org/10.3390/d15050637.

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Water temperature controls the physiology, growth rate, distribution, and behavior of most plankton populations in the sea and thus affects the energy transfer in marine ecosystems. The present study focuses on the influence of seasonal changes in sea surface temperature on phytoplankton and the size distribution of copepods in the Arraial do Cabo Upwelling System (Brazil), where a wind-driven coastal upwelling can lead to multiple distinct bottom-up cascade effects on the food web. To address the potential effect of the seasonal changes, environmental data were obtained and the abundance of p

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Li, Xiu, Rujiao Long, Jiangpeng Yan, Kun Jin, and Jihae Lee. "TANet: A Tiny Plankton Classification Network for Mobile Devices." Mobile Information Systems 2019 (April 3, 2019): 1–8. http://dx.doi.org/10.1155/2019/6536925.

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This paper is devoted to a lightweight convolutional neural network based on the attention mechanism called the tiny attention network (TANet). The TANet consists of three main parts termed as a reduction module, self-attention operation, and group convolution. The reduction module alleviates information loss caused by the pooling operation. The new parameter-free self-attention operation makes the model to focus on learning important parts of images. The group convolution achieves model compression and multibranch fusion. Using the main parts, the proposed network enables efficient plankton c

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A. I., Sukhinov, and Panasenko N. D. "COMPARATIVE INVESTIGATION OF NEURAL AND LOCALLY BINARY ALGORITHMS FOR IMAGE IDENTIFICATION OF PLANKTON POPULATIONS." Computational Mathematics and Information Technologies 1, no. 2 (2022): 70–80. http://dx.doi.org/10.23947/2587-8999-2022-1-2-70-80.

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The work is devoted to the «neural network-lbp» method of processing satellite images of multispectral water coastal systems for identification of phytoplankton populations of spotted structure: determination of their boundaries, distribution of color gradations and, based on this, determination of the distribution of phytoplankton concentrations inside the spots and the location of the center of mass. The efficiency and effectiveness of the proposed neural network-lbp method is investigated in comparison with the method based on the use of a three-layer neural network. For the analysis, a tes

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Luo, Jia. "Principal Component Analysis–Based Feature Recognition Technology for Marine Plankton Images in IoT Systems." Journal of Testing and Evaluation 52, no. 3 (2024): 20230079. http://dx.doi.org/10.1520/jte20230079.

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A. I., Sukhinov, Protsenko S.V., and Panasenko N. D. "MATHEMATICAL MODELING AND ECOLOGICAL DESIGN OF THE MARINE SYSTEMS TAKING INTO ACCOUNT MULTI-SCALE TURBULENCE USING REMOTE SENSING DATA." Computational Mathematics and Information Technologies 1, no. 3 (2022): 104–13. http://dx.doi.org/10.23947/2587-8999-2022-1-3-104-113.

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The paper considers a mathematical model of biological kinetics and geochemical cycles based on a system of convection-diffusion equations with nonlinear coefficients, supplemented by a spatially inhomogeneous three-dimensional mathematical model of wave hydrodynamics of a shallow reservoir, with a refined coefficient of turbulent vertical exchange. The task of monitoring the water surface in order to detect phytoplankton spots involves the creation and verification of effective methods for clustering these objects on the surface of reservoirs, in particular, restoring their boundaries based o

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Hossain Bhuiyan, Mohammad Azmal, Md Rasikul Islam, Sam Shariar Islam, Abu Kowser, and Moniruzzaman Khondker. "Floristic Composition of Plankton in Shitalakhsya River, Narayanganj, Dhaka." Dhaka University Journal of Biological Sciences 31, no. 1 (2022): 45–57. http://dx.doi.org/10.3329/dujbs.v31i1.57915.

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Information of phytoplankton flora of polluted river ecosystems of Bangladesh are scanty. The present study was undertaken to explore the phytoplankton flora at Dakshin Rupshi Station of the river Shitalakhsya, Narayanganj, Dhaka. The study was carried out from May 2017 to March 2018 by collecting pelagic plankton samples bimonthly. A total of 53 species under 36 genera were identified, of which 51 species have been illustrated through photomicrographic images and listing. Two species of phytoplankton namely, Pyrobotrys incurva Arnoldi and Phacus ranula Pochmann were identified from the river

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Scott, James, Sophie Pitois, Hayden Close, et al. "In situ automated imaging, using the Plankton Imager, captures temporal variations in mesozooplankton using the Celtic Sea as a case study." Journal of Plankton Research 43, no. 2 (2021): 300–313. http://dx.doi.org/10.1093/plankt/fbab018.

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Abstract The Plankton Imager (PI) is an underway semi-automated, high-speed imaging instrument, which takes images of all passing particles and classifies the mesozooplankton present. We used data (temperature, salinity and mesozooplankton abundance) collected in the Celtic Sea in spring and autumn from 2016 to 2019 to assess the ability of the PI to describe temporal changes in the mesozooplankton community and to capture the seasonality of individual taxa. The description obtained using the PI identified both seasonal and interannual changes in the mesozooplankton community. Variation was hi

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Sukhinov, Alexander, Natalia Panasenko, and Aleksey Simorin. "Algorithms and programs based on neural networks and local binary patterns approaches for monitoring plankton populations in sea systems." E3S Web of Conferences 363 (2022): 02027. http://dx.doi.org/10.1051/e3sconf/202236302027.

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The work is devoted to the method of multispectral space images analyzing of aquatic coastal systems for identifying phytoplankton populations of complicated structures: determining their boundaries, distributing color gradations and, based on this, determining the distribution of phytoplankton concentrations within patches and the location of the "mass" center. A combination of local binary patterns (LBP) and neuralnetworks methods is considered. Due to these characteristics it is possible, basing on a series of processed images of the same water area for different time points (dates), to det

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Grujčić, Vesna, Sami Saarenpää, John Sundh, et al. "Towards high-throughput parallel imaging and single-cell transcriptomics of microbial eukaryotic plankton." PLOS ONE 19, no. 1 (2024): e0296672. http://dx.doi.org/10.1371/journal.pone.0296672.

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Single-cell transcriptomics has the potential to provide novel insights into poorly studied microbial eukaryotes. Although several such technologies are available and benchmarked on mammalian cells, few have been tested on protists. Here, we applied a microarray single-cell sequencing (MASC-seq) technology, that generates microscope images of cells in parallel with capturing their transcriptomes, on three species representing important plankton groups with different cell structures; the ciliate Tetrahymena thermophila, the diatom Phaeodactylum tricornutum, and the dinoflagellate Heterocapsa sp

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Huber, Brian T., Maria Rose Petrizzo, and Kenneth G. MacLeod. "Planktonic Foraminiferal Endemism at Southern High Latitudes Following the Terminal Cretaceous Extinction." Journal of Foraminiferal Research 50, no. 4 (2020): 382–402. http://dx.doi.org/10.2113/gsjfr.50.4.382.

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Abstract Austral planktonic foraminiferal assemblages from immediately above the Cretaceous/Paleogene (K/Pg) boundary at Ocean Drilling Program Hole 690C (Maud Rise, Weddell Sea) and International Ocean Drilling Program Hole U1514C (southeast Indian Ocean) show a much different record of post-extinction recovery than anywhere outside the circum-Antarctic region. Species of Woodringina and Parvularugoglobigerina, genera with well-documented evolutionary successions within the early Danian P0 and Pα biozones at tropical/subtropical and mid-latitude localities, are absent from southern high latit

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Haigh, S. P., K. L. Denman, and W. W. Hsieh. "Simulation of the planktonic ecosystem response to pre- and post-1976 forcing in an isopycnic model of the North Pacific." Canadian Journal of Fisheries and Aquatic Sciences 58, no. 4 (2001): 703–22. http://dx.doi.org/10.1139/f01-010.

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To investigate the hypothesis that the 1976 "regime shift" in North Pacific fish populations resulted from climatic change propagating up the fisheries food web, we have embedded a four-component planktonic ecosystem model in an ocean general circulation model. The Miami isopycnic model (MICOM) has been implemented on a 2° grid over the domain from 18°S to 61°N, with a KrausTurner-type mixed layer model overlaying 10 isopycnal layers. An initial baseline run with forcing for the period 19521988 reasonably reproduces the spatial patterns and seasonal changes in SeaWiFS images. Estimates of an

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Watanabe, Yasunori, Jun Sakai, Yuta Mitobe, and Yasuo Niida. "BIOLUMINESCENCE IMAGING FOR MEASURING FLUID SHEAR DISTRUBUTIONS." Coastal Engineering Proceedings 1, no. 33 (2012): 31. http://dx.doi.org/10.9753/icce.v33.waves.31.

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The dinoflagellate Pyrocystis lunula emits light in response to water motion. The statistical features of the bioluminescence, emitted by P. lunula, owing to shear stress in oscillatory boundary layer flows over ripped bed were studied in this paper with the aim to develop a new imaging technique for measuring fluid strain rate and shear using plankton that emit light in response to mechanical stimulation. The flash intensity has been found to correlate with fluid strain rate estimated from fluid velocity over ripples. Thus the instantaneous planar distribution of the fluid shear can be estima

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Abeynayaka, Amila, Fujio Kojima, Yoshikazu Miwa, et al. "Rapid Sampling of Suspended and Floating Microplastics in Challenging Riverine and Coastal Water Environments in Japan." Water 12, no. 7 (2020): 1903. http://dx.doi.org/10.3390/w12071903.

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Environmental sampling plays an important role in quantitative and qualitative investigation of plastic pollution. Rivers are a major source, carrying plastic litter into the oceans. Microplastic sampling in riverine and coastal environments is often a challenging task due to limited access, time taken, costs, human resources, etc. Our present study evaluated the performance of newly developed sampling devices (Albatross Mark 5 and 6 (AM-5 and AM-6)) that were suitable to collect floating and suspended microplastic samples in challenging freshwater and coastal environments (95 locations). Our

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Wang, Yan-Guo, Li-Chun Tseng, Xiao-Yin Chen, et al. "Cold Dome Affects Mesozooplankton Communities during the Southwest Monsoon Period in the Southeast East China Sea." Journal of Marine Science and Engineering 11, no. 3 (2023): 508. http://dx.doi.org/10.3390/jmse11030508.

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In order to better understand the cold dome influence on zooplankton community structure, zooplankton samples were collected during the southwest monsoon prevailing period from the southeast waters of the East China Sea. To reduce the bias caused by different sampling months, the samples were collected in June 2018 and in June 2019. An obvious cold dome activity was proven by images of remote sensing satellites during the June 2018 cruise. In contrast, the research area was much affected by open sea high temperature and water masses during the June 2019 cruise. Significant differences in water

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Lubsanova, E. L. "Digital maps of hydrobionts and surface waters quality, the Baikal natural territory." Geodesy and Cartography 967, no. 1 (2021): 2–12. http://dx.doi.org/10.22389/0016-7126-2021-967-1-2-12.

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The author provides information on a developed method of geoinformation mapping hydrobionts in order to automatize digital cartographic images formation with spatial-andtemporal distribution of species and long-term trends of freezing surface waters’quality changes at studying relationships in the functioning of hydrobiological communities. The features of technique with the description of technical stages for creating databases and constituent elements of geoinformation software by the example of designing a regional geoservice with interactive plankton-and-benthos-aquatic-organisms’ maps in

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Afanasyev, D. F., S. V. Bondarev, D. V. Khrenkin, and L. A. Zhivoglyadova. "EXPERIENCE IN ORGANIZING THE REMOTE COLLABORATION OF HYDROBIOLOGISTS AND CREATING A DATABASE OF DIGITAL IMAGES OF PLANKTON AND BENTHOS." Aquatic Bioresources & Environment 3, no. 1 (2020): 121–24. http://dx.doi.org/10.47921/2619-1024_2020_3_1_121.

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Tarquis, A. M., A. Platonov, A. Matulka, et al. "Application of multifractal analysis to the study of SAR features and oil spills on the ocean surface." Nonlinear Processes in Geophysics 21, no. 2 (2014): 439–50. http://dx.doi.org/10.5194/npg-21-439-2014.

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Abstract. The use of synthetic aperture radar (SAR) to investigate the ocean surface provides a wealth of useful information that is very seldom used to its full potential. Here we will discuss the application of multifractal techniques to detect oil spills and the dynamic state of the sea regarding turbulent diffusion. We present different techniques in order to relate the shape of the multifractal spectral functions and the maximum fractal dimension to the behaviour of the ocean surface. We compare eddy and sheared dominated flows with convective driven flows and discuss the different featur

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Dyomin, Victor, Alexandra Davydova, Nikolay Kirillov, and Igor Polovtsev. "Features of the Application of Coherent Noise Suppression Methods in the Digital Holography of Particles." Applied Sciences 13, no. 15 (2023): 8685. http://dx.doi.org/10.3390/app13158685.

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The paper studies the influence of coherent noises on the quality of images of particles reconstructed from digital holograms. Standard indicators (for example, signal-to-noise ratio) and such indicators as the boundary contrast and boundary intensity jump previously proposed by the authors are used to quantify the image quality. With the use of these parameters, for examples of some known methods of suppressing coherent noises in a holographic image (eliminating the mutual influence of virtual and real images in in-line holography, and time averaging), the features and ranges of applicability

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Kudryavtsev, Valery I. "Possibilities of laser location for remote monitoring of marine organisms (analytic review)." Izvestiya TINRO 176, no. 1 (2014): 261–87. http://dx.doi.org/10.26428/1606-9919-2014-176-27-33.

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Possibilities of lidar detection of fish and plankton are overviewed on cited results of nature experiments in the sea. Volume-backscattering coefficients for the lidar with wave-length 532 nm and the acoustic sonar are compared for schools of some fish species. Examples of effective detecting of fish schools and assessment of their abundance by lidar are demonstrated for cases of sardine and anchovy at California coast, capelin and herring in the North Pacific, mullet at the west coast of Florida, juvenile mackerel in the coastal Atlantic waters of southern Europe, menhaden in the Chesapeake

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Lončarić, Neven. "Planktic Foraminiferal Content in a Mature Agulhas Eddy from the SE Atlantic: Any Influence on Foraminiferal Export Fluxes?" Geologia Croatica 59, no. 1 (2006): 41–50. http://dx.doi.org/10.4154/gc.2006.03.

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The Agulhas eddies, large-scale rings of warm salty water, occasionallyintrude into the Benguela Current system from the Indian Ocean and progress northwards across the Cape Basin and the Walvis Ridge. This inter-ocean exchange of heat and salt along the Cape of Good Hope is considered to play a crucial role for the global thermohaline circulation. Yet, the modern faunal composition of mature eddies from the northern Cape Basin and Walvis Ridge was uninvestigated in spite of the global importance of the Agulhas inflow, preventing firm micropalaeontological study of the palaeoceanographic varia

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Wang, Yanjuan, Junsheng Wang, Tianqi Wang, and Chengxiao Wang. "Simultaneous Detection of Viability and Concentration of Microalgae Cells Based on Chlorophyll Fluorescence and Bright Field Dual Imaging." Micromachines 12, no. 8 (2021): 896. http://dx.doi.org/10.3390/mi12080896.

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Ship ballast water contains high concentration of plankton, bacteria, and other microorganisms. If the huge amount of ballast water is discharged without being inactivated, it will definitely spell disaster to the marine environment. Microalgae is the most common species exiting in ballast water, so the detection of the concentration and viability of microalgae is a very important issue. The traditional methods of detecting microalgae in ballast water were costly and need the help of bulky equipment. Herein, a novel method based on microalgae cell intracellular chlorophyll fluorescence (CF) im

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Goodwin, Morten, Kim Tallaksen Halvorsen, Lei Jiao, et al. "Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook." ICES Journal of Marine Science 79, no. 2 (2022): 319–36. http://dx.doi.org/10.1093/icesjms/fsab255.

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Abstract The deep learning (DL) revolution is touching all scientific disciplines and corners of our lives as a means of harnessing the power of big data. Marine ecology is no exception. New methods provide analysis of data from sensors, cameras, and acoustic recorders, even in real time, in ways that are reproducible and rapid. Off-the-shelf algorithms find, count, and classify species from digital images or video and detect cryptic patterns in noisy data. These endeavours require collaboration across ecological and data science disciplines, which can be challenging to initiate. To promote th

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Nocera, Ariadna C., Eloísa M. Giménez, Mariano J. Diez, María Valeria Retana, and Gesche Winkler. "Krill diel vertical migration in Southern Patagonia." Journal of Plankton Research 43, no. 4 (2021): 610–23. http://dx.doi.org/10.1093/plankt/fbab047.

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Abstract Diel vertical migration (DVM) of krill was studied throughout 36 h at a fixed station (46.05°S, 66.19°W; 98-m depth) located in the center of the San Jorge Gulf, Southern Patagonia area, during February 2014. Using an echosounder system, combined with an autonomous Video Plankton Recorder (Auto-VPR) and Jacknet samplings, we describe the migration pattern, the associated biomass and the macrozooplankton species involved. The net sampling and the Auto-VPR images allowed us to identify the krill species detected in the echosounder signals, which corresponded to Euphausia lucens, Euphaus

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Bennke, Christin M., Greta Reintjes, Martha Schattenhofer, et al. "Modification of a High-Throughput Automatic Microbial Cell Enumeration System for Shipboard Analyses." Applied and Environmental Microbiology 82, no. 11 (2016): 3289–96. http://dx.doi.org/10.1128/aem.03931-15.

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ABSTRACTIn the age of ever-increasing “-omics” studies, the accurate and statistically robust determination of microbial cell numbers within often-complex samples remains a key task in microbial ecology. Microscopic quantification is still the only method to enumerate specific subgroups of microbial clades within complex communities by, for example, fluorescencein situhybridization (FISH). In this study, we improved an existing automatic image acquisition and cell enumeration system and adapted it for usage at high seas on board an oceanographic research ship. The system was evaluated by testi

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Farach-Espinoza, Edgardo Basilio, Juana López-Martínez, Ricardo García-Morales, Manuel Otilio Nevárez-Martínez, Daniel Bernardo Lluch-Cota, and Sofia Ortega-García. "Temporal Variability of Oceanic Mesoscale Events in the Gulf of California." Remote Sensing 13, no. 9 (2021): 1774. http://dx.doi.org/10.3390/rs13091774.

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Oceanic mesoscale events such as eddies, coastal upwelling, filaments and fronts created by water mass intrusion present properties allowing them to concentrate, transport and disperse salt, nutrients and plankton, among other important constituents in the ocean. The use of satellite images enables the continuous monitoring of the ocean dynamics at different temporal and spatial scales, aiding the study of its variability. This study focuses on the identification of these mesoscale events in the Gulf of California (GC) by means of sea surface temperature (SST) and chlorophyll a (Chl a) fronts

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Marzuki, Ismail, and Irham Pratama Putra. "Investigation of Microplastic Exposure to Marine Fish in the Marine Tourism Area of Makassar City." Indo. J. Chem. Res. 10, no. 1 (2022): 38–46. http://dx.doi.org/10.30598/ijcr.2022.10-ism.

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Plastic waste pollution in the marine environment triggers the formation of microplastics dissolved in seawater. Microplastics are one of the nutrients for plankton and phytoplankton. Through the food chain, microplastics can accumulate in the bodies of marine biota, until they finally reach the human body. The purpose of this research is to investigate and determine the microplastic group in fish in Makassar City KWB destinations. The method applied is maceration extraction using 70% C2H5OH for 3 days, then extracted with N-Hexane. The non-polar extracts identified the microplastic component

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Schmarje, Lars, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, and Reinhard Koch. "Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy." Sensors 21, no. 19 (2021): 6661. http://dx.doi.org/10.3390/s21196661.

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Deep learning has been successfully applied to many classification problems including underwater challenges. However, a long-standing issue with deep learning is the need for large and consistently labeled datasets. Although current approaches in semi-supervised learning can decrease the required amount of annotated data by a factor of 10 or even more, this line of research still uses distinct classes. For underwater classification, and uncurated real-world datasets in general, clean class boundaries can often not be given due to a limited information content in the images and transitional sta

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Schlezinger, David R., Craig D. Taylor, and Brian L. Howes. "Assessment of Zooplankton Injury and Mortality Associated With Underwater Turbines for Tidal Energy Production." Marine Technology Society Journal 47, no. 4 (2013): 142–50. http://dx.doi.org/10.4031/mtsj.47.4.5.

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AbstractCollaborative work between the UMASS-Marine Renewable Energy Center, the Town of Edgartown, and the Coastal Systems Program is focused on developing the tidal energy potential of Muskeget Channel. We have undertaken detailed oceanographic and environmental surveys to optimize in-stream turbine power generation and to quantify potential environmental effects. In 2011 and 2012, tidal turbine demonstration projects were conducted in Muskeget Channel to determine the combined effects of blade strikes, shear stress, turbulence, and cavitation on zooplankton. Single turbines may minimally im

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Lombard, F., L. Labeyrie, E. Michel, et al. "Modelling planktic foraminifer growth and distribution using an ecophysiological multi-species approach." Biogeosciences 8, no. 4 (2011): 853–73. http://dx.doi.org/10.5194/bg-8-853-2011.

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Abstract. We present an eco-physiological model reproducing the growth of eight foraminifer species (Neogloboquadrina pachyderma, Neogloboquadrina incompta, Neogloboquadrina dutertrei, Globigerina bulloides, Globigerinoides ruber, Globigerinoides sacculifer, Globigerinella siphonifera and Orbulina universa). By using the main physiological rates of foraminifers (nutrition, respiration, symbiotic photosynthesis), this model estimates their growth as a function of temperature, light availability, and food concentration. Model parameters are directly derived or calibrated from experimental observ

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Lombard, F., L. Labeyrie, E. Michel, et al. "Simulating the growth and distribution of planktic foraminifer using an ecophysiological multi-species model." Biogeosciences Discussions 8, no. 1 (2011): 1–49. http://dx.doi.org/10.5194/bgd-8-1-2011.

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Abstract. We present an eco-physiological model reproducing the growth of eight foraminifer species (Neogloboquadrina pachyderma, Neogloboquadrina incompta, Neogloboquadrina dutertrei, Globigerina bulloides, Globigerinoides ruber, Globigerinoides sacculifer, Globigerinella siphonifera and Orbulina universa). By using the main physiological rates of foraminifers (nutrition, respiration, symbiotic photosynthesis), this model estimates their growth as a function of temperature, light availability, and food concentration. Model parameters are directly derived or calibrated from experimental observ

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