Show source-provided references
2. Comparing Vertical Distributions of Chl-a Fluorescence, Marine Snow, and Taxon-Specific Zooplankton in Relation to Density Using High-Resolution Optical Measurements
10.3389/fmars.2020.00602 ↗4. Monitoring of Plankton Spatial and Temporal Characteristics with the Use of a Submersible Digital Holographic Camera
10.3389/fmars.2020.00653 ↗5. Diverse effects of invasive ecosystem engineers on marine biodiversity and ecosystem functions: A global review and meta-analysis
10.1111/gcb.14007 ↗6. Meta-analysis reveals complex marine biological responses to the interactive effects of ocean acidification and warming
10.1002/ece3.516 ↗7. Tracks in the Snow—Advantage of Combining Optical Methods to Characterize Marine Particles and Aggregates
10.3389/fmars.2020.00476 ↗9. Multi-Instrument Assessment of Phytoplankton Abundance and Cell Sizes in Mono-Specific Laboratory Cultures and Whole Plankton Community Composition in the North Atlantic
10.3389/fmars.2020.00254 ↗10. Transport and bottom accumulation of fine river sediments under typhoon conditions and associated submarine landslides: Case study of the Peinan River, Taiwan
10.5194/nhess-16-41-2016 ↗11. Osadchiev, A., Silvestrova, K., and Myslenkov, S. (2020). Wind-Driven Coastal Upwelling near Large River Deltas in the Laptev and East-Siberian Seas. Remote Sens., 12.
10.3390/rs12050844 ↗12. Amount and Fate of Gas and Oil Discharged at 3400 m Water Depth from a Natural Seep Site in the Southern Gulf of Mexico
10.3389/fmars.2019.00700 ↗13. Kopelevich, O.V. (2001, January 8–12). The Current Low-Parametric Models of Seawater Optical Properties. Proceedings of the International Conference “Current Problems in Optics of Natural Waters”, St. Petersburg, Russia.
15. An optical classification of coastal and oceanic waters based on the specific spectral absorption curves of phytoplankton pigments, dissolved organic matter, and other particulate materials1
10.4319/lo.1981.26.4.0671 ↗16. Memmolo, P., Carcagnì, P., Bianco, V., Merola, F., Goncalves da Silva Junior, A., Garcia Goncalves, L.M., Ferraro, P., and Distante, C. (2020). Learning Diatoms Classification from a Dry Test Slide by Holographic Microscopy. Sensors, 20.
10.3390/s20216353 ↗17. Imaging without lenses: Achievements and remaining challenges of wide-field on-chip microscopy
10.1038/nmeth.2114 ↗18. Liu, T., and Jiang, S. (2018). Miniaturized digital inline holographic camera for in-situ plankton detection. Advanced Sensor Systems and Applications VIII, SPIE.
21. Bjelkhagen, H.I., and Bove, V.M. (2019). Digital holographic camera for plankton monitoring. Practical Holography XXXIII: Displays, Materials, and Applications, SPIE.
23. Fast recognition of marine particles in underwater digital holography
24. Data acquisition from digital holograms of particles
25. A Review of Holography in the Aquatic Sciences: In situ Characterization of Particles, Plankton, and Small Scale Biophysical Interactions
10.3389/fmars.2020.572147 ↗27. Microplastic pollution assessment with digital holography and zero-shot learning
10.1063/5.0093439 ↗32. Ebullition and storm-induced methane release from the East Siberian Arctic Shelf
10.1038/ngeo2007 ↗33. The East Siberian Arctic Shelf: Towards further assessment of permafrost-related methane fluxes and role of sea ice
10.1098/rsta.2014.0451 ↗34. Shakhova, N., Semiletov, I., and Chuvilin, E. (2019). Understanding the Permafrost–Hydrate System and Associated Methane Releases in the East Siberian Arctic Shelf. Geosciences, 9.
10.3390/geosciences9060251 ↗37. Schnars, U., and Jueptner, W. (2005). Digital Holography, Springer.
39. (2022, October 13). Allied Vision—Industrial Cameras for Machine and Embedded Vision—Allied Vision. Available online: https://www.alliedvision.com/en/.
42. Bjelkhagen, H.I., and Lee, S.-H. (2021). Digital hologram as a display optical system. Practical Holography XXXV: Displays, Materials, and Applications, SPIE.
43. Development and deployment of a point-source digital inline holographic microscope for the study of plankton and particles to a depth of 6000 m
10.4319/lom.2013.11.28 ↗47. Chernykh, D., Yusupov, V., Salomatin, A., Kosmach, D., Shakhova, N., Gershelis, E., Konstantinov, A., Grinko, A., Chuvilin, E., and Dudarev, O. (2020). Sonar estimation of methane bubble flux from thawing subsea permafrost: A case study from the laptev sea shelf. Geosci., 10.
10.3390/geosciences10100411 ↗48. Dhargalkar, V.K., and Verlecar, X.N. (2004). Zooplankton Methodology, Collection & Identification—A Field Manual, National Institute of Oceanography.
49. Zooplankton of the Black Sea and the Eastern Mediterranean: Similarities and dissimilarities
10.12681/mms.277 ↗50. Zooplankton biomass estimated from digitalized images in Antarctic waters: A calibration exercise
51. Zooplankton biomass estimation from digitized images: A comparison between subtropical and Antarctic organisms
10.4319/lom.2009.7.304 ↗52. Functional regression equations for zooplankton displacement volume wet weight, dry weight, and carbon: A correction
54. (2011). 26th ITTC Specialist Committee. Fresh Water and Seawater Properties. Int. Towing Tank Conf., 5, 1596–1599.
55. Sonar gas flux estimation by bubble insonification: Application to methane bubble flux from seep areas in the outer Laptev Sea
10.5194/tc-11-1333-2017 ↗57. (2022, August 22). Diversity and Geographic Distribution of Pelagic Copepoda. Available online: https://copepodes.obs-banyuls.fr/en/diversite_geo_b.php.
61. Effects of climate change on methane emissions from seafloor sediments in the Arctic Ocean: A review
10.1002/lno.10307 ↗62. Massive blow-out craters formed by hydrate-controlled methane expulsion from the Arctic seafloor
10.1126/science.aal4500 ↗65. Bottom Sediments Reveal inter-Annual Variability of interaction between the ob and Yenisei plumes in the Kara Sea
10.1038/s41598-019-55242-3 ↗