Current Search: Holography (x)
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Title
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On the spatial distribution and nearest neighbor distance between particles in the water column determined from in situ holographic measurements.
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Creator
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Malkiel, E., Abras, J. N., Widder, Edith A., Katz, J., Harbor Branch Oceanographic Institute
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Date Issued
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2005
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PURL
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http://purl.flvc.org/FCLA/DT/3177162
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Subject Headings
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Zooplankton, Holography, Plankton sampling, Plankton--Measurement
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Format
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Document (PDF)
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Title
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APPLICATIONS OF DIGITAL HOLOGRAPHIC IMAGING TOWARDS CHARACTERIZATION OF MARINE PLANKTON DISTRIBUTIONS AND BIOPHYSICAL INTERACTIONS.
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Creator
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Barua, Ranjoy, Nayak, Aditya R., Florida Atlantic University, Department of Ocean and Mechanical Engineering, College of Engineering and Computer Science
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Abstract/Description
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Characterization of the distribution and biophysical interactions of oceanic planktonic organisms is crucial to address fundamental science questions associated with climate change, marine ecology, pollution, and ocean optics. Thus, development of instrumentation techniques for monitoring plankton at high spatial and temporal resolutions is important. This dissertation deals with the advancements made in applying digital holography – a 3-D non-intrusive, freestream imaging technique – to...
Show moreCharacterization of the distribution and biophysical interactions of oceanic planktonic organisms is crucial to address fundamental science questions associated with climate change, marine ecology, pollution, and ocean optics. Thus, development of instrumentation techniques for monitoring plankton at high spatial and temporal resolutions is important. This dissertation deals with the advancements made in applying digital holography – a 3-D non-intrusive, freestream imaging technique – to address three different applications associated with marine plankton monitoring and ecology. In the first project, an autonomous in-line digital holographic microscope was successfully deployed for rapid in situ detection of the harmful dinoflagellate, Karenia brevis in the coastal Gulf of Mexico. Monitoring K. brevis abundance and distribution are crucial for early warning systems and implementing preventative measures to limit potential damage. The holographic system was successfully paired with a convolutional neural network for automated data processing to ensure rapid and accurate K. brevis detection.
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Date Issued
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2022
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PURL
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http://purl.flvc.org/fau/fd/FA00014096
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Subject Headings
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Marine plankton, Holography, Digital holographic microscopy
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Format
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Document (PDF)