Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment

Diatoms are important ecologic indicators whose assemblage, chemistry, and valve features are reflections of their original environmental conditions. Fossil diatom biometrics are an emerging measurement introduced to supplement our understanding of the hydrographic history of the Southern Ocean. Her...

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Main Author: Redmond, Neil
Format: Text
Language:unknown
Published: DigitalCommons@URI 2017
Subjects:
Online Access:https://digitalcommons.uri.edu/theses/1072
https://doi.org/10.23860/thesis-redmond-neil-2017
https://digitalcommons.uri.edu/context/theses/article/2067/viewcontent/Redmond_uri_0186M_11732.pdf
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spelling ftunivrhodeislan:oai:digitalcommons.uri.edu:theses-2067 2023-07-30T03:58:25+02:00 Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment Redmond, Neil 2017-01-01T08:00:00Z application/pdf https://digitalcommons.uri.edu/theses/1072 https://doi.org/10.23860/thesis-redmond-neil-2017 https://digitalcommons.uri.edu/context/theses/article/2067/viewcontent/Redmond_uri_0186M_11732.pdf unknown DigitalCommons@URI https://digitalcommons.uri.edu/theses/1072 doi:10.23860/thesis-redmond-neil-2017 https://digitalcommons.uri.edu/context/theses/article/2067/viewcontent/Redmond_uri_0186M_11732.pdf Open Access Master's Theses text 2017 ftunivrhodeislan https://doi.org/10.23860/thesis-redmond-neil-2017 2023-07-17T18:55:40Z Diatoms are important ecologic indicators whose assemblage, chemistry, and valve features are reflections of their original environmental conditions. Fossil diatom biometrics are an emerging measurement introduced to supplement our understanding of the hydrographic history of the Southern Ocean. Here, we present a novel method to simultaneously measure fossil diatom assemblage and biometrics using a FlowCam, an instrument combining features from a flow cytometer and microscopic camera. It offers, computerized automatic identification to supplement manual, visual identifications, leading to increased counts and biometric measurements. To assess the viability of the FlowCam as a paleoceanographic tool, a FlowCam measured data set was compared to previously published diatom assemblage and biometric data generated by traditional microscopic methods from a Southern Ocean sediment core. Diatom assemblages and the biometric lengths of Fragilariopsis kerguelensis measured with the FlowCam showed similar trends to those produced by traditional microscopy. The biggest difference was the relative occurrence of Eucampia antarctica, which was observed more frequently using the FlowCam. The high biometric data output from the FlowCam was used to determine an empirically derived, minimum sample count and confidence intervals for future best practices. Text Antarc* Antarctica Southern Ocean University of Rhode Island: DigitalCommons@URI Southern Ocean
institution Open Polar
collection University of Rhode Island: DigitalCommons@URI
op_collection_id ftunivrhodeislan
language unknown
description Diatoms are important ecologic indicators whose assemblage, chemistry, and valve features are reflections of their original environmental conditions. Fossil diatom biometrics are an emerging measurement introduced to supplement our understanding of the hydrographic history of the Southern Ocean. Here, we present a novel method to simultaneously measure fossil diatom assemblage and biometrics using a FlowCam, an instrument combining features from a flow cytometer and microscopic camera. It offers, computerized automatic identification to supplement manual, visual identifications, leading to increased counts and biometric measurements. To assess the viability of the FlowCam as a paleoceanographic tool, a FlowCam measured data set was compared to previously published diatom assemblage and biometric data generated by traditional microscopic methods from a Southern Ocean sediment core. Diatom assemblages and the biometric lengths of Fragilariopsis kerguelensis measured with the FlowCam showed similar trends to those produced by traditional microscopy. The biggest difference was the relative occurrence of Eucampia antarctica, which was observed more frequently using the FlowCam. The high biometric data output from the FlowCam was used to determine an empirically derived, minimum sample count and confidence intervals for future best practices.
format Text
author Redmond, Neil
spellingShingle Redmond, Neil
Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
author_facet Redmond, Neil
author_sort Redmond, Neil
title Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
title_short Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
title_full Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
title_fullStr Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
title_full_unstemmed Assessment of Fluid Imaging for Determination of Diatom Assemblage Composition and Biometrics of Southern Ocean Sediment
title_sort assessment of fluid imaging for determination of diatom assemblage composition and biometrics of southern ocean sediment
publisher DigitalCommons@URI
publishDate 2017
url https://digitalcommons.uri.edu/theses/1072
https://doi.org/10.23860/thesis-redmond-neil-2017
https://digitalcommons.uri.edu/context/theses/article/2067/viewcontent/Redmond_uri_0186M_11732.pdf
geographic Southern Ocean
geographic_facet Southern Ocean
genre Antarc*
Antarctica
Southern Ocean
genre_facet Antarc*
Antarctica
Southern Ocean
op_source Open Access Master's Theses
op_relation https://digitalcommons.uri.edu/theses/1072
doi:10.23860/thesis-redmond-neil-2017
https://digitalcommons.uri.edu/context/theses/article/2067/viewcontent/Redmond_uri_0186M_11732.pdf
op_doi https://doi.org/10.23860/thesis-redmond-neil-2017
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